diff --git a/.github/workflows/sync-pricing.yml b/.github/workflows/sync-pricing.yml
new file mode 100644
index 0000000..94c3cf5
--- /dev/null
+++ b/.github/workflows/sync-pricing.yml
@@ -0,0 +1,42 @@
+name: Sync Model Pricing
+
+on:
+  schedule:
+    # Run daily at 06:00 UTC
+    - cron: '0 6 * * *'
+  workflow_dispatch: # Allow manual trigger
+
+permissions:
+  contents: write
+  pull-requests: write
+
+jobs:
+  sync-pricing:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Sync pricing from OpenRouter API
+        run: python scripts/sync-pricing.py --create-missing
+
+      - name: Check for changes
+        id: changes
+        run: |
+          git diff --quiet && echo "changed=false" >> "$GITHUB_OUTPUT" || echo "changed=true" >> "$GITHUB_OUTPUT"
+
+      - name: Create PR if prices changed
+        if: steps.changes.outputs.changed == 'true'
+        uses: peter-evans/create-pull-request@v7
+        with:
+          commit-message: "chore: sync model pricing from OpenRouter API"
+          title: "chore: sync model pricing from OpenRouter API"
+          body: |
+            Automated pricing sync from [OpenRouter API](https://openrouter.ai/api/v1/models).
+
+            Run by `sync-pricing.yml` cron job.
+          branch: chore/auto-sync-pricing
+          delete-branch: true
diff --git a/providers/aion-labs.toml b/providers/aion-labs.toml
new file mode 100644
index 0000000..8503f93
--- /dev/null
+++ b/providers/aion-labs.toml
@@ -0,0 +1,48 @@
+# aion-labs — auto-generated from OpenRouter API
+
+[provider]
+id = "aion-labs"
+display_name = "Aion Labs"
+api_key_env = "AION_LABS_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "aion-1.0"
+display_name = "AionLabs: Aion-1.0"
+tier = "frontier"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 4.0
+output_cost_per_m = 8.0
+supports_streaming = true
+
+[[models]]
+id = "aion-1.0-mini"
+display_name = "AionLabs: Aion-1.0-Mini"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 0.7
+output_cost_per_m = 1.4
+supports_streaming = true
+
+[[models]]
+id = "aion-2.0"
+display_name = "AionLabs: Aion-2.0"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 32768
+input_cost_per_m = 0.8
+output_cost_per_m = 1.6
+supports_streaming = true
+
+[[models]]
+id = "aion-rp-llama-3.1-8b"
+display_name = "AionLabs: Aion-RP 1.0 (8B)"
+tier = "smart"
+context_window = 32768
+max_output_tokens = 32768
+input_cost_per_m = 0.8
+output_cost_per_m = 1.6
+supports_streaming = true
diff --git a/providers/alibaba.toml b/providers/alibaba.toml
new file mode 100644
index 0000000..e48a1c4
--- /dev/null
+++ b/providers/alibaba.toml
@@ -0,0 +1,18 @@
+# alibaba — auto-generated from OpenRouter API
+
+[provider]
+id = "alibaba"
+display_name = "Alibaba"
+api_key_env = "ALIBABA_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "tongyi-deepresearch-30b-a3b"
+display_name = "Tongyi DeepResearch 30B A3B"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 131072
+input_cost_per_m = 0.09
+output_cost_per_m = 0.45
+supports_streaming = true
diff --git a/providers/allenai.toml b/providers/allenai.toml
new file mode 100644
index 0000000..96efd3f
--- /dev/null
+++ b/providers/allenai.toml
@@ -0,0 +1,48 @@
+# allenai — auto-generated from OpenRouter API
+
+[provider]
+id = "allenai"
+display_name = "Allenai"
+api_key_env = "ALLENAI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "olmo-2-0325-32b-instruct"
+display_name = "AllenAI: Olmo 2 32B Instruct"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 0.05
+output_cost_per_m = 0.2
+supports_streaming = true
+
+[[models]]
+id = "olmo-3-32b-think"
+display_name = "AllenAI: Olmo 3 32B Think"
+tier = "fast"
+context_window = 65536
+max_output_tokens = 65536
+input_cost_per_m = 0.15
+output_cost_per_m = 0.5
+supports_streaming = true
+
+[[models]]
+id = "olmo-3.1-32b-instruct"
+display_name = "AllenAI: Olmo 3.1 32B Instruct"
+tier = "fast"
+context_window = 65536
+max_output_tokens = 16384
+input_cost_per_m = 0.2
+output_cost_per_m = 0.6
+supports_streaming = true
+
+[[models]]
+id = "olmo-3.1-32b-think"
+display_name = "AllenAI: Olmo 3.1 32B Think"
+tier = "fast"
+context_window = 65536
+max_output_tokens = 65536
+input_cost_per_m = 0.15
+output_cost_per_m = 0.5
+supports_streaming = true
diff --git a/providers/amazon.toml b/providers/amazon.toml
new file mode 100644
index 0000000..f361e5a
--- /dev/null
+++ b/providers/amazon.toml
@@ -0,0 +1,58 @@
+# amazon — auto-generated from OpenRouter API
+
+[provider]
+id = "amazon"
+display_name = "Amazon"
+api_key_env = "AMAZON_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "nova-2-lite-v1"
+display_name = "Amazon: Nova 2 Lite"
+tier = "fast"
+context_window = 1000000
+max_output_tokens = 65535
+input_cost_per_m = 0.3
+output_cost_per_m = 2.5
+supports_streaming = true
+
+[[models]]
+id = "nova-lite-v1"
+display_name = "Amazon: Nova Lite 1.0"
+tier = "fast"
+context_window = 300000
+max_output_tokens = 5120
+input_cost_per_m = 0.06
+output_cost_per_m = 0.24
+supports_streaming = true
+
+[[models]]
+id = "nova-micro-v1"
+display_name = "Amazon: Nova Micro 1.0"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 5120
+input_cost_per_m = 0.035
+output_cost_per_m = 0.14
+supports_streaming = true
+
+[[models]]
+id = "nova-premier-v1"
+display_name = "Amazon: Nova Premier 1.0"
+tier = "smart"
+context_window = 1000000
+max_output_tokens = 32000
+input_cost_per_m = 2.5
+output_cost_per_m = 12.5
+supports_streaming = true
+
+[[models]]
+id = "nova-pro-v1"
+display_name = "Amazon: Nova Pro 1.0"
+tier = "smart"
+context_window = 300000
+max_output_tokens = 5120
+input_cost_per_m = 0.8
+output_cost_per_m = 3.2
+supports_streaming = true
diff --git a/providers/arcee-ai.toml b/providers/arcee-ai.toml
new file mode 100644
index 0000000..6677058
--- /dev/null
+++ b/providers/arcee-ai.toml
@@ -0,0 +1,78 @@
+# arcee-ai — auto-generated from OpenRouter API
+
+[provider]
+id = "arcee-ai"
+display_name = "Arcee Ai"
+api_key_env = "ARCEE_AI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "coder-large"
+display_name = "Arcee AI: Coder Large"
+tier = "smart"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.5
+output_cost_per_m = 0.8
+supports_streaming = true
+
+[[models]]
+id = "maestro-reasoning"
+display_name = "Arcee AI: Maestro Reasoning"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 32000
+input_cost_per_m = 0.9
+output_cost_per_m = 3.3
+supports_streaming = true
+
+[[models]]
+id = "spotlight"
+display_name = "Arcee AI: Spotlight"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 65537
+input_cost_per_m = 0.18
+output_cost_per_m = 0.18
+supports_streaming = true
+
+[[models]]
+id = "trinity-large-preview:free"
+display_name = "Arcee AI: Trinity Large Preview (free)"
+tier = "free"
+context_window = 131000
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "trinity-mini"
+display_name = "Arcee AI: Trinity Mini"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 131072
+input_cost_per_m = 0.045
+output_cost_per_m = 0.15
+supports_streaming = true
+
+[[models]]
+id = "trinity-mini:free"
+display_name = "Arcee AI: Trinity Mini (free)"
+tier = "free"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "virtuoso-large"
+display_name = "Arcee AI: Virtuoso Large"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 64000
+input_cost_per_m = 0.75
+output_cost_per_m = 1.2
+supports_streaming = true
diff --git a/providers/bytedance.toml b/providers/bytedance.toml
new file mode 100644
index 0000000..2f0e2b2
--- /dev/null
+++ b/providers/bytedance.toml
@@ -0,0 +1,18 @@
+# bytedance — auto-generated from OpenRouter API
+
+[provider]
+id = "bytedance"
+display_name = "Bytedance"
+api_key_env = "BYTEDANCE_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "ui-tars-1.5-7b"
+display_name = "ByteDance: UI-TARS 7B "
+tier = "fast"
+context_window = 128000
+max_output_tokens = 2048
+input_cost_per_m = 0.1
+output_cost_per_m = 0.2
+supports_streaming = true
diff --git a/providers/chatgpt.toml b/providers/chatgpt.toml
index cb063df..f670eb6 100644
--- a/providers/chatgpt.toml
+++ b/providers/chatgpt.toml
@@ -27,8 +27,8 @@ display_name = "GPT-5.3 Codex"
 tier = "frontier"
 context_window = 200000
 max_output_tokens = 65536
-input_cost_per_m = 0.0
-output_cost_per_m = 0.0
+input_cost_per_m = 1.75
+output_cost_per_m = 14.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -40,8 +40,8 @@ display_name = "GPT-5.2 Codex"
 tier = "smart"
 context_window = 200000
 max_output_tokens = 65536
-input_cost_per_m = 0.0
-output_cost_per_m = 0.0
+input_cost_per_m = 1.75
+output_cost_per_m = 14.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -53,8 +53,8 @@ display_name = "GPT-5.1 Codex"
 tier = "smart"
 context_window = 200000
 max_output_tokens = 65536
-input_cost_per_m = 0.0
-output_cost_per_m = 0.0
+input_cost_per_m = 1.25
+output_cost_per_m = 10.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -66,8 +66,8 @@ display_name = "GPT-5.1 Codex Mini"
 tier = "balanced"
 context_window = 200000
 max_output_tokens = 65536
-input_cost_per_m = 0.0
-output_cost_per_m = 0.0
+input_cost_per_m = 0.25
+output_cost_per_m = 2.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
diff --git a/providers/deepcogito.toml b/providers/deepcogito.toml
new file mode 100644
index 0000000..b9f4731
--- /dev/null
+++ b/providers/deepcogito.toml
@@ -0,0 +1,18 @@
+# deepcogito — auto-generated from OpenRouter API
+
+[provider]
+id = "deepcogito"
+display_name = "Deepcogito"
+api_key_env = "DEEPCOGITO_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "cogito-v2.1-671b"
+display_name = "Deep Cogito: Cogito v2.1 671B"
+tier = "smart"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 1.25
+output_cost_per_m = 1.25
+supports_streaming = true
diff --git a/providers/deepseek.toml b/providers/deepseek.toml
index c5b9735..ea0aab6 100644
--- a/providers/deepseek.toml
+++ b/providers/deepseek.toml
@@ -14,8 +14,8 @@ display_name = "DeepSeek V3"
 tier = "smart"
 context_window = 64000
 max_output_tokens = 8192
-input_cost_per_m = 0.27
-output_cost_per_m = 1.10
+input_cost_per_m = 0.15
+output_cost_per_m = 0.75
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -53,8 +53,8 @@ display_name = "DeepSeek V3 0324"
 tier = "smart"
 context_window = 64000
 max_output_tokens = 8192
-input_cost_per_m = 0.27
-output_cost_per_m = 1.10
+input_cost_per_m = 0.19999999999999998
+output_cost_per_m = 0.77
 supports_tools = true
 supports_vision = false
 supports_streaming = true
diff --git a/providers/eleutherai.toml b/providers/eleutherai.toml
new file mode 100644
index 0000000..afd24ac
--- /dev/null
+++ b/providers/eleutherai.toml
@@ -0,0 +1,18 @@
+# eleutherai — auto-generated from OpenRouter API
+
+[provider]
+id = "eleutherai"
+display_name = "Eleutherai"
+api_key_env = "ELEUTHERAI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "llemma_7b"
+display_name = "EleutherAI: Llemma 7b"
+tier = "smart"
+context_window = 4096
+max_output_tokens = 4096
+input_cost_per_m = 0.8
+output_cost_per_m = 1.2
+supports_streaming = true
diff --git a/providers/essentialai.toml b/providers/essentialai.toml
new file mode 100644
index 0000000..7672b6e
--- /dev/null
+++ b/providers/essentialai.toml
@@ -0,0 +1,18 @@
+# essentialai — auto-generated from OpenRouter API
+
+[provider]
+id = "essentialai"
+display_name = "Essentialai"
+api_key_env = "ESSENTIALAI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "rnj-1-instruct"
+display_name = "EssentialAI: Rnj 1 Instruct"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.15
+output_cost_per_m = 0.15
+supports_streaming = true
diff --git a/providers/gemini.toml b/providers/gemini.toml
index f9ea0e7..e4e5eb2 100644
--- a/providers/gemini.toml
+++ b/providers/gemini.toml
@@ -15,8 +15,8 @@ display_name = "Gemini 3.1 Pro Preview"
 tier = "frontier"
 context_window = 1048576
 max_output_tokens = 65536
-input_cost_per_m = 2.50
-output_cost_per_m = 15.0
+input_cost_per_m = 2.0
+output_cost_per_m = 12.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -28,8 +28,8 @@ display_name = "Gemini 3 Flash Preview"
 tier = "smart"
 context_window = 1048576
 max_output_tokens = 65536
-input_cost_per_m = 0.15
-output_cost_per_m = 0.60
+input_cost_per_m = 0.5
+output_cost_per_m = 3.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -41,8 +41,8 @@ display_name = "Gemini 3.1 Flash Lite Preview"
 tier = "fast"
 context_window = 1048576
 max_output_tokens = 8192
-input_cost_per_m = 0.04
-output_cost_per_m = 0.15
+input_cost_per_m = 0.25
+output_cost_per_m = 1.5
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -54,8 +54,8 @@ display_name = "Gemini 2.5 Flash Lite"
 tier = "fast"
 context_window = 1048576
 max_output_tokens = 8192
-input_cost_per_m = 0.04
-output_cost_per_m = 0.15
+input_cost_per_m = 0.09999999999999999
+output_cost_per_m = 0.39999999999999997
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -80,8 +80,8 @@ display_name = "Gemini 2.5 Flash"
 tier = "smart"
 context_window = 1048576
 max_output_tokens = 65536
-input_cost_per_m = 0.15
-output_cost_per_m = 0.60
+input_cost_per_m = 0.3
+output_cost_per_m = 2.5
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -93,8 +93,8 @@ display_name = "Gemini 2.0 Flash"
 tier = "fast"
 context_window = 1048576
 max_output_tokens = 8192
-input_cost_per_m = 0.10
-output_cost_per_m = 0.40
+input_cost_per_m = 0.075
+output_cost_per_m = 0.3
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/providers/ibm-granite.toml b/providers/ibm-granite.toml
new file mode 100644
index 0000000..4bc6490
--- /dev/null
+++ b/providers/ibm-granite.toml
@@ -0,0 +1,18 @@
+# ibm-granite — auto-generated from OpenRouter API
+
+[provider]
+id = "ibm-granite"
+display_name = "Ibm Granite"
+api_key_env = "IBM_GRANITE_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "granite-4.0-h-micro"
+display_name = "IBM: Granite 4.0 Micro"
+tier = "fast"
+context_window = 131000
+max_output_tokens = 16384
+input_cost_per_m = 0.017
+output_cost_per_m = 0.11
+supports_streaming = true
diff --git a/providers/inception.toml b/providers/inception.toml
new file mode 100644
index 0000000..0c486f8
--- /dev/null
+++ b/providers/inception.toml
@@ -0,0 +1,38 @@
+# inception — auto-generated from OpenRouter API
+
+[provider]
+id = "inception"
+display_name = "Inception"
+api_key_env = "INCEPTION_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "mercury"
+display_name = "Inception: Mercury"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 32000
+input_cost_per_m = 0.25
+output_cost_per_m = 0.75
+supports_streaming = true
+
+[[models]]
+id = "mercury-2"
+display_name = "Inception: Mercury 2"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 50000
+input_cost_per_m = 0.25
+output_cost_per_m = 0.75
+supports_streaming = true
+
+[[models]]
+id = "mercury-coder"
+display_name = "Inception: Mercury Coder"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 32000
+input_cost_per_m = 0.25
+output_cost_per_m = 0.75
+supports_streaming = true
diff --git a/providers/inflection.toml b/providers/inflection.toml
new file mode 100644
index 0000000..8ef3c6c
--- /dev/null
+++ b/providers/inflection.toml
@@ -0,0 +1,28 @@
+# inflection — auto-generated from OpenRouter API
+
+[provider]
+id = "inflection"
+display_name = "Inflection"
+api_key_env = "INFLECTION_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "inflection-3-pi"
+display_name = "Inflection: Inflection 3 Pi"
+tier = "smart"
+context_window = 8000
+max_output_tokens = 1024
+input_cost_per_m = 2.5
+output_cost_per_m = 10.0
+supports_streaming = true
+
+[[models]]
+id = "inflection-3-productivity"
+display_name = "Inflection: Inflection 3 Productivity"
+tier = "smart"
+context_window = 8000
+max_output_tokens = 1024
+input_cost_per_m = 2.5
+output_cost_per_m = 10.0
+supports_streaming = true
diff --git a/providers/kwaipilot.toml b/providers/kwaipilot.toml
new file mode 100644
index 0000000..92cea1f
--- /dev/null
+++ b/providers/kwaipilot.toml
@@ -0,0 +1,18 @@
+# kwaipilot — auto-generated from OpenRouter API
+
+[provider]
+id = "kwaipilot"
+display_name = "Kwaipilot"
+api_key_env = "KWAIPILOT_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "kat-coder-pro"
+display_name = "Kwaipilot: KAT-Coder-Pro V1"
+tier = "fast"
+context_window = 256000
+max_output_tokens = 128000
+input_cost_per_m = 0.207
+output_cost_per_m = 0.828
+supports_streaming = true
diff --git a/providers/liquid.toml b/providers/liquid.toml
new file mode 100644
index 0000000..822eccc
--- /dev/null
+++ b/providers/liquid.toml
@@ -0,0 +1,58 @@
+# liquid — auto-generated from OpenRouter API
+
+[provider]
+id = "liquid"
+display_name = "Liquid"
+api_key_env = "LIQUID_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "lfm-2-24b-a2b"
+display_name = "LiquidAI: LFM2-24B-A2B"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.03
+output_cost_per_m = 0.12
+supports_streaming = true
+
+[[models]]
+id = "lfm-2.2-6b"
+display_name = "LiquidAI: LFM2-2.6B"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.01
+output_cost_per_m = 0.02
+supports_streaming = true
+
+[[models]]
+id = "lfm-2.5-1.2b-instruct:free"
+display_name = "LiquidAI: LFM2.5-1.2B-Instruct (free)"
+tier = "free"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "lfm-2.5-1.2b-thinking:free"
+display_name = "LiquidAI: LFM2.5-1.2B-Thinking (free)"
+tier = "free"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "lfm2-8b-a1b"
+display_name = "LiquidAI: LFM2-8B-A1B"
+tier = "fast"
+context_window = 32768
+max_output_tokens = 8192
+input_cost_per_m = 0.01
+output_cost_per_m = 0.02
+supports_streaming = true
diff --git a/providers/meituan.toml b/providers/meituan.toml
new file mode 100644
index 0000000..5520f78
--- /dev/null
+++ b/providers/meituan.toml
@@ -0,0 +1,18 @@
+# meituan — auto-generated from OpenRouter API
+
+[provider]
+id = "meituan"
+display_name = "Meituan"
+api_key_env = "MEITUAN_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "longcat-flash-chat"
+display_name = "Meituan: LongCat Flash Chat"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 131072
+input_cost_per_m = 0.2
+output_cost_per_m = 0.8
+supports_streaming = true
diff --git a/providers/meta-llama.toml b/providers/meta-llama.toml
new file mode 100644
index 0000000..1802fe2
--- /dev/null
+++ b/providers/meta-llama.toml
@@ -0,0 +1,148 @@
+# meta-llama — auto-generated from OpenRouter API
+
+[provider]
+id = "meta-llama"
+display_name = "Meta Llama"
+api_key_env = "META_LLAMA_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "llama-3-70b-instruct"
+display_name = "Meta: Llama 3 70B Instruct"
+tier = "smart"
+context_window = 8192
+max_output_tokens = 8000
+input_cost_per_m = 0.51
+output_cost_per_m = 0.74
+supports_streaming = true
+
+[[models]]
+id = "llama-3-8b-instruct"
+display_name = "Meta: Llama 3 8B Instruct"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 16384
+input_cost_per_m = 0.03
+output_cost_per_m = 0.04
+supports_streaming = true
+
+[[models]]
+id = "llama-3.1-70b-instruct"
+display_name = "Meta: Llama 3.1 70B Instruct"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.4
+output_cost_per_m = 0.4
+supports_streaming = true
+
+[[models]]
+id = "llama-3.1-8b-instruct"
+display_name = "Meta: Llama 3.1 8B Instruct"
+tier = "fast"
+context_window = 16384
+max_output_tokens = 16384
+input_cost_per_m = 0.02
+output_cost_per_m = 0.05
+supports_streaming = true
+
+[[models]]
+id = "llama-3.2-11b-vision-instruct"
+display_name = "Meta: Llama 3.2 11B Vision Instruct"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.049
+output_cost_per_m = 0.049
+supports_streaming = true
+
+[[models]]
+id = "llama-3.2-1b-instruct"
+display_name = "Meta: Llama 3.2 1B Instruct"
+tier = "fast"
+context_window = 60000
+max_output_tokens = 15000
+input_cost_per_m = 0.027
+output_cost_per_m = 0.2
+supports_streaming = true
+
+[[models]]
+id = "llama-3.2-3b-instruct"
+display_name = "Meta: Llama 3.2 3B Instruct"
+tier = "fast"
+context_window = 80000
+max_output_tokens = 16384
+input_cost_per_m = 0.051
+output_cost_per_m = 0.34
+supports_streaming = true
+
+[[models]]
+id = "llama-3.2-3b-instruct:free"
+display_name = "Meta: Llama 3.2 3B Instruct (free)"
+tier = "free"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "llama-3.3-70b-instruct"
+display_name = "Meta: Llama 3.3 70B Instruct"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.1
+output_cost_per_m = 0.32
+supports_streaming = true
+
+[[models]]
+id = "llama-3.3-70b-instruct:free"
+display_name = "Meta: Llama 3.3 70B Instruct (free)"
+tier = "free"
+context_window = 65536
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "llama-4-maverick"
+display_name = "Meta: Llama 4 Maverick"
+tier = "fast"
+context_window = 1048576
+max_output_tokens = 16384
+input_cost_per_m = 0.15
+output_cost_per_m = 0.6
+supports_streaming = true
+
+[[models]]
+id = "llama-4-scout"
+display_name = "Meta: Llama 4 Scout"
+tier = "fast"
+context_window = 327680
+max_output_tokens = 16384
+input_cost_per_m = 0.08
+output_cost_per_m = 0.3
+supports_streaming = true
+
+[[models]]
+id = "llama-guard-3-8b"
+display_name = "Llama Guard 3 8B"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.02
+output_cost_per_m = 0.06
+supports_streaming = true
+
+[[models]]
+id = "llama-guard-4-12b"
+display_name = "Meta: Llama Guard 4 12B"
+tier = "fast"
+context_window = 163840
+max_output_tokens = 16384
+input_cost_per_m = 0.18
+output_cost_per_m = 0.18
+supports_streaming = true
diff --git a/providers/microsoft.toml b/providers/microsoft.toml
new file mode 100644
index 0000000..0176c29
--- /dev/null
+++ b/providers/microsoft.toml
@@ -0,0 +1,28 @@
+# microsoft — auto-generated from OpenRouter API
+
+[provider]
+id = "microsoft"
+display_name = "Microsoft"
+api_key_env = "MICROSOFT_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "phi-4"
+display_name = "Microsoft: Phi 4"
+tier = "fast"
+context_window = 16384
+max_output_tokens = 16384
+input_cost_per_m = 0.065
+output_cost_per_m = 0.14
+supports_streaming = true
+
+[[models]]
+id = "wizardlm-2-8x22b"
+display_name = "WizardLM-2 8x22B"
+tier = "smart"
+context_window = 65535
+max_output_tokens = 8000
+input_cost_per_m = 0.62
+output_cost_per_m = 0.62
+supports_streaming = true
diff --git a/providers/moonshot.toml b/providers/moonshot.toml
index 38a44b0..622154a 100644
--- a/providers/moonshot.toml
+++ b/providers/moonshot.toml
@@ -53,8 +53,8 @@ display_name = "Kimi K2"
 tier = "frontier"
 context_window = 131072
 max_output_tokens = 16384
-input_cost_per_m = 0.60
-output_cost_per_m = 2.50
+input_cost_per_m = 0.44999999999999996
+output_cost_per_m = 2.2
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/providers/morph.toml b/providers/morph.toml
new file mode 100644
index 0000000..f6d24ff
--- /dev/null
+++ b/providers/morph.toml
@@ -0,0 +1,28 @@
+# morph — auto-generated from OpenRouter API
+
+[provider]
+id = "morph"
+display_name = "Morph"
+api_key_env = "MORPH_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "morph-v3-fast"
+display_name = "Morph: Morph V3 Fast"
+tier = "smart"
+context_window = 81920
+max_output_tokens = 38000
+input_cost_per_m = 0.8
+output_cost_per_m = 1.2
+supports_streaming = true
+
+[[models]]
+id = "morph-v3-large"
+display_name = "Morph: Morph V3 Large"
+tier = "smart"
+context_window = 262144
+max_output_tokens = 131072
+input_cost_per_m = 0.9
+output_cost_per_m = 1.9
+supports_streaming = true
diff --git a/providers/nex-agi.toml b/providers/nex-agi.toml
new file mode 100644
index 0000000..488622d
--- /dev/null
+++ b/providers/nex-agi.toml
@@ -0,0 +1,18 @@
+# nex-agi — auto-generated from OpenRouter API
+
+[provider]
+id = "nex-agi"
+display_name = "Nex Agi"
+api_key_env = "NEX_AGI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "deepseek-v3.1-nex-n1"
+display_name = "Nex AGI: DeepSeek V3.1 Nex N1"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 163840
+input_cost_per_m = 0.135
+output_cost_per_m = 0.5
+supports_streaming = true
diff --git a/providers/nousresearch.toml b/providers/nousresearch.toml
new file mode 100644
index 0000000..71b82b1
--- /dev/null
+++ b/providers/nousresearch.toml
@@ -0,0 +1,68 @@
+# nousresearch — auto-generated from OpenRouter API
+
+[provider]
+id = "nousresearch"
+display_name = "Nousresearch"
+api_key_env = "NOUSRESEARCH_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "hermes-2-pro-llama-3-8b"
+display_name = "NousResearch: Hermes 2 Pro - Llama-3 8B"
+tier = "fast"
+context_window = 8192
+max_output_tokens = 8192
+input_cost_per_m = 0.14
+output_cost_per_m = 0.14
+supports_streaming = true
+
+[[models]]
+id = "hermes-3-llama-3.1-405b"
+display_name = "Nous: Hermes 3 405B Instruct"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 1.0
+output_cost_per_m = 1.0
+supports_streaming = true
+
+[[models]]
+id = "hermes-3-llama-3.1-405b:free"
+display_name = "Nous: Hermes 3 405B Instruct (free)"
+tier = "free"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "hermes-3-llama-3.1-70b"
+display_name = "Nous: Hermes 3 70B Instruct"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.3
+output_cost_per_m = 0.3
+supports_streaming = true
+
+[[models]]
+id = "hermes-4-405b"
+display_name = "Nous: Hermes 4 405B"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 1.0
+output_cost_per_m = 3.0
+supports_streaming = true
+
+[[models]]
+id = "hermes-4-70b"
+display_name = "Nous: Hermes 4 70B"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.13
+output_cost_per_m = 0.4
+supports_streaming = true
diff --git a/providers/nvidia.toml b/providers/nvidia.toml
new file mode 100644
index 0000000..e22c959
--- /dev/null
+++ b/providers/nvidia.toml
@@ -0,0 +1,118 @@
+# nvidia — auto-generated from OpenRouter API
+
+[provider]
+id = "nvidia"
+display_name = "Nvidia"
+api_key_env = "NVIDIA_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "llama-3.1-nemotron-70b-instruct"
+display_name = "NVIDIA: Llama 3.1 Nemotron 70B Instruct"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 1.2
+output_cost_per_m = 1.2
+supports_streaming = true
+
+[[models]]
+id = "llama-3.1-nemotron-ultra-253b-v1"
+display_name = "NVIDIA: Llama 3.1 Nemotron Ultra 253B v1"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.6
+output_cost_per_m = 1.8
+supports_streaming = true
+
+[[models]]
+id = "llama-3.3-nemotron-super-49b-v1.5"
+display_name = "NVIDIA: Llama 3.3 Nemotron Super 49B V1.5"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.1
+output_cost_per_m = 0.4
+supports_streaming = true
+
+[[models]]
+id = "nemotron-3-nano-30b-a3b"
+display_name = "NVIDIA: Nemotron 3 Nano 30B A3B"
+tier = "fast"
+context_window = 262144
+max_output_tokens = 16384
+input_cost_per_m = 0.05
+output_cost_per_m = 0.2
+supports_streaming = true
+
+[[models]]
+id = "nemotron-3-nano-30b-a3b:free"
+display_name = "NVIDIA: Nemotron 3 Nano 30B A3B (free)"
+tier = "free"
+context_window = 256000
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "nemotron-3-super-120b-a12b"
+display_name = "NVIDIA: Nemotron 3 Super"
+tier = "fast"
+context_window = 262144
+max_output_tokens = 16384
+input_cost_per_m = 0.1
+output_cost_per_m = 0.5
+supports_streaming = true
+
+[[models]]
+id = "nemotron-3-super-120b-a12b:free"
+display_name = "NVIDIA: Nemotron 3 Super (free)"
+tier = "free"
+context_window = 262144
+max_output_tokens = 262144
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "nemotron-nano-12b-v2-vl"
+display_name = "NVIDIA: Nemotron Nano 12B 2 VL"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.2
+output_cost_per_m = 0.6
+supports_streaming = true
+
+[[models]]
+id = "nemotron-nano-12b-v2-vl:free"
+display_name = "NVIDIA: Nemotron Nano 12B 2 VL (free)"
+tier = "free"
+context_window = 128000
+max_output_tokens = 128000
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
+
+[[models]]
+id = "nemotron-nano-9b-v2"
+display_name = "NVIDIA: Nemotron Nano 9B V2"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.04
+output_cost_per_m = 0.16
+supports_streaming = true
+
+[[models]]
+id = "nemotron-nano-9b-v2:free"
+display_name = "NVIDIA: Nemotron Nano 9B V2 (free)"
+tier = "free"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
+supports_streaming = true
diff --git a/providers/ollama.toml b/providers/ollama.toml
index 7d94bdc..a6453b9 100644
--- a/providers/ollama.toml
+++ b/providers/ollama.toml
@@ -53,8 +53,8 @@ display_name = "Qwen 2.5 (Ollama)"
 tier = "local"
 context_window = 32768
 max_output_tokens = 4096
-input_cost_per_m = 0.0
-output_cost_per_m = 0.0
+input_cost_per_m = 0.03
+output_cost_per_m = 0.09
 supports_tools = true
 supports_vision = false
 supports_streaming = true
diff --git a/providers/openai.toml b/providers/openai.toml
index 796e5fb..74df6a5 100644
--- a/providers/openai.toml
+++ b/providers/openai.toml
@@ -80,8 +80,8 @@ display_name = "o3"
 tier = "frontier"
 context_window = 200000
 max_output_tokens = 100000
-input_cost_per_m = 2.00
-output_cost_per_m = 8.00
+input_cost_per_m = 10.0
+output_cost_per_m = 40.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -106,8 +106,8 @@ display_name = "o4-mini"
 tier = "smart"
 context_window = 200000
 max_output_tokens = 100000
-input_cost_per_m = 1.10
-output_cost_per_m = 4.40
+input_cost_per_m = 2.0
+output_cost_per_m = 8.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -132,8 +132,8 @@ display_name = "GPT-3.5 Turbo"
 tier = "fast"
 context_window = 16385
 max_output_tokens = 4096
-input_cost_per_m = 0.50
-output_cost_per_m = 1.50
+input_cost_per_m = 1.0
+output_cost_per_m = 2.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -145,8 +145,8 @@ display_name = "GPT-5"
 tier = "frontier"
 context_window = 400000
 max_output_tokens = 128000
-input_cost_per_m = 1.25
-output_cost_per_m = 10.0
+input_cost_per_m = 0.19999999999999998
+output_cost_per_m = 1.25
 supports_tools = true
 supports_vision = true
 supports_streaming = true
@@ -210,8 +210,8 @@ display_name = "GPT-5.2 Pro"
 tier = "frontier"
 context_window = 400000
 max_output_tokens = 128000
-input_cost_per_m = 1.75
-output_cost_per_m = 14.0
+input_cost_per_m = 21.0
+output_cost_per_m = 168.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/providers/perplexity.toml b/providers/perplexity.toml
index c7f7883..5ca0f42 100644
--- a/providers/perplexity.toml
+++ b/providers/perplexity.toml
@@ -40,8 +40,8 @@ display_name = "Sonar Reasoning"
 tier = "balanced"
 context_window = 128000
 max_output_tokens = 8192
-input_cost_per_m = 1.0
-output_cost_per_m = 5.0
+input_cost_per_m = 2.0
+output_cost_per_m = 8.0
 supports_tools = false
 supports_vision = false
 supports_streaming = true
diff --git a/providers/prime-intellect.toml b/providers/prime-intellect.toml
new file mode 100644
index 0000000..d181611
--- /dev/null
+++ b/providers/prime-intellect.toml
@@ -0,0 +1,18 @@
+# prime-intellect — auto-generated from OpenRouter API
+
+[provider]
+id = "prime-intellect"
+display_name = "Prime Intellect"
+api_key_env = "PRIME_INTELLECT_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "intellect-3"
+display_name = "Prime Intellect: INTELLECT-3"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 131072
+input_cost_per_m = 0.2
+output_cost_per_m = 1.1
+supports_streaming = true
diff --git a/providers/qwen.toml b/providers/qwen.toml
index 06bf5d9..6d68987 100644
--- a/providers/qwen.toml
+++ b/providers/qwen.toml
@@ -21,8 +21,8 @@ display_name = "Qwen Max"
 tier = "frontier"
 context_window = 32768
 max_output_tokens = 8192
-input_cost_per_m = 4.00
-output_cost_per_m = 12.00
+input_cost_per_m = 1.04
+output_cost_per_m = 4.16
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -34,8 +34,8 @@ display_name = "Qwen Plus"
 tier = "smart"
 context_window = 131072
 max_output_tokens = 8192
-input_cost_per_m = 0.80
-output_cost_per_m = 2.00
+input_cost_per_m = 0.26
+output_cost_per_m = 0.78
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -47,8 +47,8 @@ display_name = "Qwen Turbo"
 tier = "fast"
 context_window = 131072
 max_output_tokens = 8192
-input_cost_per_m = 0.30
-output_cost_per_m = 0.60
+input_cost_per_m = 0.0325
+output_cost_per_m = 0.13
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -60,8 +60,8 @@ display_name = "Qwen VL Plus"
 tier = "smart"
 context_window = 32768
 max_output_tokens = 8192
-input_cost_per_m = 1.50
-output_cost_per_m = 4.50
+input_cost_per_m = 0.1365
+output_cost_per_m = 0.40950000000000003
 supports_tools = false
 supports_vision = true
 supports_streaming = true
@@ -99,8 +99,8 @@ display_name = "Qwen3 235B"
 tier = "frontier"
 context_window = 131072
 max_output_tokens = 8192
-input_cost_per_m = 4.00
-output_cost_per_m = 12.00
+input_cost_per_m = 0.14950000000000002
+output_cost_per_m = 1.495
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -112,8 +112,8 @@ display_name = "Qwen3 30B"
 tier = "fast"
 context_window = 131072
 max_output_tokens = 8192
-input_cost_per_m = 0.30
-output_cost_per_m = 0.60
+input_cost_per_m = 0.08
+output_cost_per_m = 0.39999999999999997
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -151,8 +151,8 @@ display_name = "Qwen VL Max"
 tier = "frontier"
 context_window = 32768
 max_output_tokens = 8192
-input_cost_per_m = 3.00
-output_cost_per_m = 9.00
+input_cost_per_m = 0.52
+output_cost_per_m = 2.08
 supports_tools = false
 supports_vision = true
 supports_streaming = true
diff --git a/providers/relace.toml b/providers/relace.toml
new file mode 100644
index 0000000..d454745
--- /dev/null
+++ b/providers/relace.toml
@@ -0,0 +1,28 @@
+# relace — auto-generated from OpenRouter API
+
+[provider]
+id = "relace"
+display_name = "Relace"
+api_key_env = "RELACE_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "relace-apply-3"
+display_name = "Relace: Relace Apply 3"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 128000
+input_cost_per_m = 0.85
+output_cost_per_m = 1.25
+supports_streaming = true
+
+[[models]]
+id = "relace-search"
+display_name = "Relace: Relace Search"
+tier = "smart"
+context_window = 256000
+max_output_tokens = 128000
+input_cost_per_m = 1.0
+output_cost_per_m = 3.0
+supports_streaming = true
diff --git a/providers/stepfun.toml b/providers/stepfun.toml
index 433e619..7716392 100644
--- a/providers/stepfun.toml
+++ b/providers/stepfun.toml
@@ -14,8 +14,8 @@ display_name = "Step 3.5 Flash"
 tier = "smart"
 context_window = 256000
 max_output_tokens = 256000
-input_cost_per_m = 0.10
-output_cost_per_m = 0.30
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
@@ -27,8 +27,8 @@ display_name = "Step 3"
 tier = "frontier"
 context_window = 65536
 max_output_tokens = 16384
-input_cost_per_m = 0.57
-output_cost_per_m = 1.43
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/providers/switchpoint.toml b/providers/switchpoint.toml
new file mode 100644
index 0000000..b98b865
--- /dev/null
+++ b/providers/switchpoint.toml
@@ -0,0 +1,18 @@
+# switchpoint — auto-generated from OpenRouter API
+
+[provider]
+id = "switchpoint"
+display_name = "Switchpoint"
+api_key_env = "SWITCHPOINT_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "router"
+display_name = "Switchpoint Router"
+tier = "smart"
+context_window = 131072
+max_output_tokens = 16384
+input_cost_per_m = 0.85
+output_cost_per_m = 3.4
+supports_streaming = true
diff --git a/providers/tencent.toml b/providers/tencent.toml
new file mode 100644
index 0000000..8702200
--- /dev/null
+++ b/providers/tencent.toml
@@ -0,0 +1,18 @@
+# tencent — auto-generated from OpenRouter API
+
+[provider]
+id = "tencent"
+display_name = "Tencent"
+api_key_env = "TENCENT_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "hunyuan-a13b-instruct"
+display_name = "Tencent: Hunyuan A13B Instruct"
+tier = "fast"
+context_window = 131072
+max_output_tokens = 131072
+input_cost_per_m = 0.14
+output_cost_per_m = 0.57
+supports_streaming = true
diff --git a/providers/tngtech.toml b/providers/tngtech.toml
new file mode 100644
index 0000000..47a4634
--- /dev/null
+++ b/providers/tngtech.toml
@@ -0,0 +1,18 @@
+# tngtech — auto-generated from OpenRouter API
+
+[provider]
+id = "tngtech"
+display_name = "Tngtech"
+api_key_env = "TNGTECH_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "deepseek-r1t2-chimera"
+display_name = "TNG: DeepSeek R1T2 Chimera"
+tier = "fast"
+context_window = 163840
+max_output_tokens = 163840
+input_cost_per_m = 0.3
+output_cost_per_m = 1.1
+supports_streaming = true
diff --git a/providers/upstage.toml b/providers/upstage.toml
new file mode 100644
index 0000000..d86a3dc
--- /dev/null
+++ b/providers/upstage.toml
@@ -0,0 +1,18 @@
+# upstage — auto-generated from OpenRouter API
+
+[provider]
+id = "upstage"
+display_name = "Upstage"
+api_key_env = "UPSTAGE_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "solar-pro-3"
+display_name = "Upstage: Solar Pro 3"
+tier = "fast"
+context_window = 128000
+max_output_tokens = 16384
+input_cost_per_m = 0.15
+output_cost_per_m = 0.6
+supports_streaming = true
diff --git a/providers/venice.toml b/providers/venice.toml
index ca9cde6..16a1e1e 100644
--- a/providers/venice.toml
+++ b/providers/venice.toml
@@ -27,8 +27,8 @@ display_name = "Llama 3.3 70B (Venice)"
 tier = "balanced"
 context_window = 128000
 max_output_tokens = 8192
-input_cost_per_m = 0.20
-output_cost_per_m = 0.90
+input_cost_per_m = 0.0
+output_cost_per_m = 0.0
 supports_tools = true
 supports_vision = false
 supports_streaming = true
diff --git a/providers/xai.toml b/providers/xai.toml
index 39a1485..a7704f7 100644
--- a/providers/xai.toml
+++ b/providers/xai.toml
@@ -79,8 +79,8 @@ display_name = "Grok 3"
 tier = "frontier"
 context_window = 131072
 max_output_tokens = 32768
-input_cost_per_m = 3.0
-output_cost_per_m = 15.0
+input_cost_per_m = 0.3
+output_cost_per_m = 0.5
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/providers/xiaomi.toml b/providers/xiaomi.toml
new file mode 100644
index 0000000..7634e09
--- /dev/null
+++ b/providers/xiaomi.toml
@@ -0,0 +1,38 @@
+# xiaomi — auto-generated from OpenRouter API
+
+[provider]
+id = "xiaomi"
+display_name = "Xiaomi"
+api_key_env = "XIAOMI_API_KEY"
+base_url = ""
+key_required = true
+
+[[models]]
+id = "mimo-v2-flash"
+display_name = "Xiaomi: MiMo-V2-Flash"
+tier = "fast"
+context_window = 262144
+max_output_tokens = 65536
+input_cost_per_m = 0.09
+output_cost_per_m = 0.29
+supports_streaming = true
+
+[[models]]
+id = "mimo-v2-omni"
+display_name = "Xiaomi: MiMo-V2-Omni"
+tier = "fast"
+context_window = 262144
+max_output_tokens = 65536
+input_cost_per_m = 0.4
+output_cost_per_m = 2.0
+supports_streaming = true
+
+[[models]]
+id = "mimo-v2-pro"
+display_name = "Xiaomi: MiMo-V2-Pro"
+tier = "smart"
+context_window = 1048576
+max_output_tokens = 131072
+input_cost_per_m = 1.0
+output_cost_per_m = 3.0
+supports_streaming = true
diff --git a/providers/zhipu.toml b/providers/zhipu.toml
index 87e0ad0..266b5ef 100644
--- a/providers/zhipu.toml
+++ b/providers/zhipu.toml
@@ -79,8 +79,8 @@ display_name = "GLM-4.7"
 tier = "smart"
 context_window = 131072
 max_output_tokens = 16384
-input_cost_per_m = 0.60
-output_cost_per_m = 2.20
+input_cost_per_m = 0.06
+output_cost_per_m = 0.39999999999999997
 supports_tools = true
 supports_vision = true
 supports_streaming = true
diff --git a/scripts/sync-pricing.py b/scripts/sync-pricing.py
new file mode 100644
index 0000000..f70b89c
--- /dev/null
+++ b/scripts/sync-pricing.py
@@ -0,0 +1,218 @@
+#!/usr/bin/env python3
+"""Sync model pricing and providers from OpenRouter API.
+
+Usage:
+    python scripts/sync-pricing.py [--dry-run] [--create-missing]
+
+Fetches current pricing from https://openrouter.ai/api/v1/models and:
+1. Updates input_cost_per_m / output_cost_per_m in existing providers/*.toml
+2. With --create-missing: generates TOML files for providers not yet in registry
+"""
+
+import json
+import re
+import sys
+import urllib.request
+from pathlib import Path
+
+OPENROUTER_API = "https://openrouter.ai/api/v1/models"
+PROVIDERS_DIR = Path(__file__).parent.parent / "providers"
+
+# Map OpenRouter provider prefixes → our TOML filenames (when they differ)
+PROVIDER_ALIAS = {
+    "google": "gemini",
+    "mistralai": "mistral",
+    "x-ai": "xai",
+    "moonshotai": "moonshot",
+    "z-ai": "zhipu",
+    "bytedance-seed": "volcengine",
+    "baidu": "qianfan",
+    "meta-llama": "meta-llama",
+}
+
+# Skip these — community finetunes, not real providers
+SKIP_PROVIDERS = {
+    "sao10k", "thedrummer", "undi95", "gryphe", "cognitivecomputations",
+    "anthracite-org", "alpindale", "alfredpros", "mancer",
+}
+
+
+def fetch_openrouter_models():
+    """Fetch all models from OpenRouter."""
+    req = urllib.request.Request(OPENROUTER_API)
+    req.add_header("User-Agent", "librefang-registry/sync-pricing")
+    with urllib.request.urlopen(req, timeout=30) as resp:
+        return json.loads(resp.read()).get("data", [])
+
+
+def parse_pricing(model):
+    """Extract per-million pricing from an OpenRouter model entry."""
+    p = model.get("pricing", {})
+    prompt = p.get("prompt")
+    completion = p.get("completion")
+    if not prompt or not completion:
+        return None, None
+    try:
+        return round(float(prompt) * 1_000_000, 4), round(float(completion) * 1_000_000, 4)
+    except (ValueError, TypeError):
+        return None, None
+
+
+def update_toml_prices(toml_path, models_by_id, dry_run=False):
+    """Update pricing fields in an existing TOML file."""
+    content = toml_path.read_text()
+    lines = content.split("\n")
+    updated = 0
+    current_model_id = None
+    new_lines = []
+
+    for line in lines:
+        id_match = re.match(r'^id\s*=\s*"([^"]+)"', line)
+        if id_match:
+            current_model_id = id_match.group(1)
+
+        cost_match = re.match(r'^(input_cost_per_m|output_cost_per_m)\s*=\s*([\d.]+)', line)
+        if cost_match and current_model_id:
+            field = cost_match.group(1)
+            old_val = float(cost_match.group(2))
+
+            new_val = None
+            for or_id, (inp, outp) in models_by_id.items():
+                or_model = or_id.split("/")[-1] if "/" in or_id else or_id
+                if current_model_id == or_model or current_model_id in or_id:
+                    new_val = inp if field == "input_cost_per_m" else outp
+                    break
+
+            if new_val is not None and abs(new_val - old_val) > 0.001:
+                new_lines.append(f"{field} = {new_val}")
+                print(f"  {toml_path.name}: {current_model_id}.{field}: {old_val} -> {new_val}")
+                updated += 1
+                continue
+
+        new_lines.append(line)
+
+    if updated > 0 and not dry_run:
+        toml_path.write_text("\n".join(new_lines))
+    return updated
+
+
+def generate_provider_toml(provider_id, models, dry_run=False):
+    """Generate a new provider TOML file from OpenRouter data."""
+    our_name = PROVIDER_ALIAS.get(provider_id, provider_id)
+    toml_path = PROVIDERS_DIR / f"{our_name}.toml"
+
+    if toml_path.exists():
+        return 0
+
+    # Derive api_key_env from provider name: FOO_BAR -> FOO_BAR_API_KEY
+    env_key = our_name.upper().replace("-", "_") + "_API_KEY"
+
+    lines = [
+        f'# {provider_id} — auto-generated from OpenRouter API',
+        f"",
+        f"[provider]",
+        f'id = "{our_name}"',
+        f'display_name = "{provider_id.replace("-", " ").title()}"',
+        f'api_key_env = "{env_key}"',
+        f'base_url = ""',
+        f"key_required = true",
+        f"",
+    ]
+
+    count = 0
+    for m in sorted(models, key=lambda x: x.get("id", "")):
+        model_id = m["id"].split("/")[-1] if "/" in m["id"] else m["id"]
+        display = m.get("name", model_id)
+        ctx = m.get("context_length", 0)
+        max_out = m.get("top_provider", {}).get("max_completion_tokens", 0)
+        inp, outp = parse_pricing(m)
+        if inp is None:
+            continue
+
+        supports_tools = "tool_use" in str(m.get("supported_parameters", []))
+        supports_vision = "vision" in str(m.get("architecture", {}).get("modality", ""))
+
+        # Infer tier from pricing
+        if inp == 0 and outp == 0:
+            tier = "free"
+        elif inp < 0.5:
+            tier = "fast"
+        elif inp < 3.0:
+            tier = "smart"
+        else:
+            tier = "frontier"
+
+        # Default max_output_tokens if not provided
+        if not max_out:
+            max_out = min(ctx // 4, 16384) if ctx > 0 else 4096
+
+        lines.append("[[models]]")
+        lines.append(f'id = "{model_id}"')
+        lines.append(f'display_name = "{display}"')
+        lines.append(f'tier = "{tier}"')
+        lines.append(f"context_window = {ctx}")
+        lines.append(f"max_output_tokens = {max_out}")
+        lines.append(f"input_cost_per_m = {inp}")
+        lines.append(f"output_cost_per_m = {outp}")
+        if supports_tools:
+            lines.append("supports_tools = true")
+        if supports_vision:
+            lines.append("supports_vision = true")
+        lines.append("supports_streaming = true")
+        lines.append("")
+        count += 1
+
+    if count == 0:
+        return 0
+
+    print(f"  NEW: {our_name}.toml ({count} models)")
+
+    if not dry_run:
+        toml_path.write_text("\n".join(lines))
+    return count
+
+
+def main():
+    dry_run = "--dry-run" in sys.argv
+    create_missing = "--create-missing" in sys.argv
+
+    print("Fetching models from OpenRouter API...")
+    all_models = fetch_openrouter_models()
+    print(f"Got {len(all_models)} models")
+
+    # Build pricing index
+    pricing = {}
+    by_provider = {}
+    for m in all_models:
+        mid = m.get("id", "")
+        inp, outp = parse_pricing(m)
+        if inp is not None:
+            pricing[mid] = (inp, outp)
+        if "/" in mid:
+            p = mid.split("/")[0]
+            by_provider.setdefault(p, []).append(m)
+
+    # Update existing providers
+    total_updated = 0
+    for toml_file in sorted(PROVIDERS_DIR.glob("*.toml")):
+        count = update_toml_prices(toml_file, pricing, dry_run=dry_run)
+        total_updated += count
+
+    # Create missing providers
+    total_created = 0
+    if create_missing:
+        print("\nChecking for missing providers...")
+        for provider_id, models in sorted(by_provider.items()):
+            if provider_id in SKIP_PROVIDERS:
+                continue
+            our_name = PROVIDER_ALIAS.get(provider_id, provider_id)
+            if not (PROVIDERS_DIR / f"{our_name}.toml").exists():
+                count = generate_provider_toml(provider_id, models, dry_run=dry_run)
+                total_created += count
+
+    action = "Would" if dry_run else "Done:"
+    print(f"\n{action} updated {total_updated} prices, created {total_created} new model entries")
+
+
+if __name__ == "__main__":
+    main()