Evan
85db9c8d78
* feat(providers): add supports_thinking field to thinking-capable models Mark models that support extended thinking / reasoning with supports_thinking = true so the dashboard can conditionally show thinking toggles. Providers updated: anthropic (8), codex-cli (7), gemini (6), openai (3), qwen (2), deepseek (1). Schema updated accordingly. * feat(providers): add supports_thinking to remaining thinking-capable models Cover 19 additional providers: alibaba-coding-plan, allenai, arcee-ai, fireworks, gemini-cli, groq, liquid, nvidia-nim, ollama, openai (codex), openrouter, perplexity, qwen-code, replicate, sambanova, tngtech, venice, vertex-ai, xai. Total: 62 models across 24 providers now have supports_thinking = true. * feat(providers): add supports_thinking to chutes, huggingface, together Missed in prior commits: DeepSeek-R1 on chutes/huggingface/together, Qwen3-235B on chutes. Total now 66 models across 27 providers. * feat(providers): add supports_thinking to bedrock, claude-code, aider, moonshot, stepfun - bedrock: all 5 Claude models - claude-code: all 3 models (opus/sonnet/haiku wrappers) - aider: aider/sonnet (Claude-backed) - moonshot: kimi-k2.5 (reasoning mode) - stepfun: step-1o-turbo-vision (reasoning model) Total: 77 models across 32 providers. * feat(providers): add supports_thinking to alibaba kimi-k2.5, openrouter claude-sonnet-4
354 lines
8.7 KiB
TOML
354 lines
8.7 KiB
TOML
# NVIDIA NIM — https://build.nvidia.com
|
|
# Models: 22
|
|
|
|
[provider]
|
|
id = "nvidia-nim"
|
|
display_name = "NVIDIA NIM"
|
|
api_key_env = "NVIDIA_API_KEY"
|
|
base_url = "https://integrate.api.nvidia.com/v1"
|
|
key_required = true
|
|
|
|
# ── NVIDIA models ────────────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "nvidia/llama-3.1-nemotron-ultra-253b-v1"
|
|
display_name = "Nemotron Ultra 253B"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.6
|
|
output_cost_per_m = 1.8
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["nemotron-ultra"]
|
|
|
|
[[models]]
|
|
id = "nvidia/llama-3.3-nemotron-super-49b-v1.5"
|
|
display_name = "Nemotron Super 49B v1.5"
|
|
tier = "smart"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.1
|
|
output_cost_per_m = 0.40
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["nemotron-super"]
|
|
|
|
[[models]]
|
|
id = "nvidia/llama-3.1-nemotron-70b-instruct"
|
|
display_name = "Nemotron 70B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 1.2
|
|
output_cost_per_m = 1.2
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["nemotron-70b"]
|
|
|
|
[[models]]
|
|
id = "nvidia/nemotron-mini-4b-instruct"
|
|
display_name = "Nemotron Mini 4B"
|
|
tier = "fast"
|
|
context_window = 4096
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.01
|
|
output_cost_per_m = 0.01
|
|
supports_tools = false
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["nemotron-mini"]
|
|
|
|
# ── Meta Llama models ────────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "meta/llama-4-maverick-17b-128e-instruct"
|
|
display_name = "Llama 4 Maverick 128E"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.80
|
|
output_cost_per_m = 0.80
|
|
supports_tools = true
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
aliases = ["llama4-maverick"]
|
|
|
|
[[models]]
|
|
id = "meta/llama-4-scout-17b-16e-instruct"
|
|
display_name = "Llama 4 Scout 16E"
|
|
tier = "smart"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.15
|
|
output_cost_per_m = 0.40
|
|
supports_tools = true
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
aliases = ["llama4-scout"]
|
|
|
|
[[models]]
|
|
id = "meta/llama-3.3-70b-instruct"
|
|
display_name = "Llama 3.3 70B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.10
|
|
output_cost_per_m = 0.10
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["llama-70b"]
|
|
|
|
[[models]]
|
|
id = "meta/llama-3.1-405b-instruct"
|
|
display_name = "Llama 3.1 405B"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 2.00
|
|
output_cost_per_m = 2.00
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["llama-405b"]
|
|
|
|
[[models]]
|
|
id = "meta/llama-3.1-8b-instruct"
|
|
display_name = "Llama 3.1 8B"
|
|
tier = "fast"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.03
|
|
output_cost_per_m = 0.03
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = []
|
|
|
|
[[models]]
|
|
id = "meta/llama-3.2-90b-vision-instruct"
|
|
display_name = "Llama 3.2 90B Vision"
|
|
tier = "smart"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.35
|
|
output_cost_per_m = 0.40
|
|
supports_tools = false
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
aliases = []
|
|
|
|
[[models]]
|
|
id = "meta/llama-3.2-11b-vision-instruct"
|
|
display_name = "Llama 3.2 11B Vision"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.07
|
|
output_cost_per_m = 0.07
|
|
supports_tools = false
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
aliases = []
|
|
|
|
# ── Mistral models ───────────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "mistralai/mistral-large-3-675b-instruct-2512"
|
|
display_name = "Mistral Large 3 675B"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 1.50
|
|
output_cost_per_m = 4.50
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["mistral-large-3"]
|
|
|
|
[[models]]
|
|
id = "mistralai/mistral-small-3.1-24b-instruct-2503"
|
|
display_name = "Mistral Small 3.1 24B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.10
|
|
output_cost_per_m = 0.30
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["mistral-small"]
|
|
|
|
[[models]]
|
|
id = "mistralai/mixtral-8x22b-instruct-v0.1"
|
|
display_name = "Mixtral 8x22B"
|
|
tier = "balanced"
|
|
context_window = 65536
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.27
|
|
output_cost_per_m = 0.27
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["mixtral"]
|
|
|
|
# ── DeepSeek models ──────────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "deepseek-ai/deepseek-v3.2"
|
|
display_name = "DeepSeek V3.2"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 8192
|
|
input_cost_per_m = 0.50
|
|
output_cost_per_m = 2.00
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["deepseek-v3"]
|
|
|
|
[[models]]
|
|
id = "deepseek-ai/deepseek-r1-distill-qwen-32b"
|
|
display_name = "DeepSeek R1 Distill 32B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 8192
|
|
input_cost_per_m = 0.10
|
|
output_cost_per_m = 0.10
|
|
supports_tools = false
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
supports_thinking = true
|
|
aliases = ["deepseek-r1-32b"]
|
|
|
|
# ── Qwen models ──────────────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "qwen/qwen3.5-397b-a17b"
|
|
display_name = "Qwen 3.5 397B MoE"
|
|
tier = "frontier"
|
|
context_window = 128000
|
|
max_output_tokens = 8192
|
|
input_cost_per_m = 0.39
|
|
output_cost_per_m = 2.34
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
supports_thinking = true
|
|
aliases = ["qwen3.5"]
|
|
|
|
[[models]]
|
|
id = "qwen/qwen2.5-coder-32b-instruct"
|
|
display_name = "Qwen 2.5 Coder 32B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 8192
|
|
input_cost_per_m = 0.10
|
|
output_cost_per_m = 0.10
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["qwen-coder"]
|
|
|
|
[[models]]
|
|
id = "qwen/qwq-32b"
|
|
display_name = "QWQ 32B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 16384
|
|
input_cost_per_m = 0.15
|
|
output_cost_per_m = 0.58
|
|
supports_tools = false
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
supports_thinking = true
|
|
aliases = []
|
|
|
|
# ── Google Gemma models ──────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "google/gemma-3-27b-it"
|
|
display_name = "Gemma 3 27B"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.08
|
|
output_cost_per_m = 0.16
|
|
supports_tools = false
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["gemma"]
|
|
|
|
# ── Microsoft Phi models ─────────────────────────────────────────
|
|
|
|
[[models]]
|
|
id = "microsoft/phi-4-multimodal-instruct"
|
|
display_name = "Phi-4 Multimodal"
|
|
tier = "balanced"
|
|
context_window = 128000
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.07
|
|
output_cost_per_m = 0.07
|
|
supports_tools = true
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
aliases = ["phi-4"]
|
|
|
|
[[models]]
|
|
id = "microsoft/phi-4-mini-instruct"
|
|
display_name = "Phi-4 Mini"
|
|
tier = "fast"
|
|
context_window = 16384
|
|
max_output_tokens = 4096
|
|
input_cost_per_m = 0.03
|
|
output_cost_per_m = 0.03
|
|
supports_tools = true
|
|
supports_vision = false
|
|
supports_streaming = true
|
|
aliases = ["phi-4-mini"]
|
|
|
|
[[models]]
|
|
id = "nvidia/nemotron-3-nano-30b-a3b"
|
|
display_name = "Nvidia: Nemotron 3 Nano 30B"
|
|
tier = "fast"
|
|
context_window = 131072
|
|
max_output_tokens = 32768
|
|
input_cost_per_m = 0.05
|
|
output_cost_per_m = 0.2
|
|
supports_streaming = true
|
|
|
|
[[models]]
|
|
id = "nvidia/nemotron-3-super-120b-a12b"
|
|
display_name = "Nvidia: Nemotron 3 Super 120B"
|
|
tier = "smart"
|
|
context_window = 131072
|
|
max_output_tokens = 32768
|
|
input_cost_per_m = 0.1
|
|
output_cost_per_m = 0.5
|
|
supports_streaming = true
|
|
|
|
[[models]]
|
|
id = "nvidia/nemotron-nano-12b-v2-vl"
|
|
display_name = "Nvidia: Nemotron Nano 12B V2 VL"
|
|
tier = "fast"
|
|
context_window = 131072
|
|
max_output_tokens = 32768
|
|
input_cost_per_m = 0.2
|
|
output_cost_per_m = 0.6
|
|
supports_vision = true
|
|
supports_streaming = true
|
|
|
|
[[models]]
|
|
id = "nvidia/nemotron-nano-9b-v2"
|
|
display_name = "Nvidia: Nemotron Nano 9B V2"
|
|
tier = "fast"
|
|
context_window = 131072
|
|
max_output_tokens = 32768
|
|
input_cost_per_m = 0.04
|
|
output_cost_per_m = 0.16
|
|
supports_streaming = true
|