* chore: prune deprecated models across providers Remove old-generation models that are strictly superseded by current versions on the same provider/family. Affected providers: anthropic, bedrock, vertex-ai, xai, moonshot, zhipu, baichuan, stepfun, volcengine, minimax, cohere, together, fireworks, deepinfra, openrouter. Also clean up orphan aliases (grok3, grok-mini, minimax-m2.1) and remap moonshot alias to kimi-k2.5. Net: -42 model entries across 18 files. Provider model counts and README rows updated accordingly. * chore: remove redundant and orphan aliases from aliases.toml Provider TOML files auto-register their model.aliases at load time, so re-declaring them globally is duplication. Also drop entries pointing to models that no longer exist after the prune. - 45 redundant entries duplicating provider-defined aliases - 11 orphan targets (gpt-4o, gpt-4o-mini, grok-2-mini, grok-3, mixtral-8x7b-32768, copilot/gpt-4, open-mistral-nemo, pixtral-large-latest, jamba-1.5-large, palmyra-x5, venice-uncensored) Net: 100 lines down to 21. The file is now what the header comment always claimed it was: 'additional global aliases not tied to a specific model entry.' * chore: second pass — prune more deprecated models Apply the same 'strictly superseded by same-provider/family successor' rule to providers missed in the first pass: - openai: gpt-4.1 / -mini / -nano, o3, o4-mini (5) - meta-llama: llama-3.3-70b-instruct (1) - zhipu: glm-4v-plus (1) - together: Llama-3.3-70B-Instruct-Turbo (1) - xiaomi: mimo-v2-flash / -omni / -pro (3) - aion-labs: aion-1.0 / -mini (2) - qianfan: ernie-speed-128k, ernie-4.0-turbo-8k (2) - cerebras: cerebras/llama3.1-8b (1) - qwen-code: qwen-code/qwq-32b (1) - nvidia-nim: 12 models (llama-3.1/3.2 series, mixtral-8x22b, mistral-small-3.1, phi-4-mini, qwq-32b, r1-distill-32b, qwen2.5-coder, nemotron-mini-4b, nemotron-70b-instruct) - openrouter: meta-llama/llama-3.3-70b (paid), rekaai/reka-edge (2) - alibaba-coding-plan: qwen3.5-plus, qwen3-max-2026-01-23, MiniMax-M2.5, kimi-k2.5 (4) Net: -35 model entries. providers/README.md model counts updated. 220 models remain.
45 lines
1.2 KiB
YAML
45 lines
1.2 KiB
YAML
name: Pricing Correction
|
|
description: Report outdated or incorrect model pricing
|
|
labels: ["pricing"]
|
|
body:
|
|
- type: input
|
|
id: provider
|
|
attributes:
|
|
label: Provider Name
|
|
description: Which provider's pricing needs correction?
|
|
placeholder: e.g. openai, anthropic, groq
|
|
validations:
|
|
required: true
|
|
|
|
- type: input
|
|
id: model_id
|
|
attributes:
|
|
label: Model ID
|
|
description: The canonical model identifier.
|
|
placeholder: e.g. gpt-5, claude-sonnet-4-6
|
|
validations:
|
|
required: true
|
|
|
|
- type: input
|
|
id: current_pricing
|
|
attributes:
|
|
label: Current Pricing in Registry
|
|
description: What does the registry currently show?
|
|
placeholder: "e.g. Input: $5.00 / 1M tokens, Output: $15.00 / 1M tokens"
|
|
validations:
|
|
required: true
|
|
|
|
- type: textarea
|
|
id: correct_pricing
|
|
attributes:
|
|
label: Correct Pricing (with source)
|
|
description: |
|
|
Provide the correct pricing and a link to the official source
|
|
so we can verify the update.
|
|
placeholder: |
|
|
Input: $2.50 / 1M tokens
|
|
Output: $10.00 / 1M tokens
|
|
Source: https://openai.com/pricing
|
|
validations:
|
|
required: true
|