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chore: update model catalog from bot issues#833

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chore/autofix-bot-issues-2026-06-19
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chore: update model catalog from bot issues#833
github-actions[bot] wants to merge 1 commit into
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chore/autofix-bot-issues-2026-06-19

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Automated daily batch of model catalog updates from bot issues.

Included issues

Summary

Issue Provider Primary model Changed models Added models Updated models Verification sources
#824 groq qwen/qwen3.6-27b qwen/qwen3.6-27b qwen/qwen3.6-27b None 1
2
#825 together Qwen/Qwen3.7-Plus Qwen/Qwen3.7-Plus Qwen/Qwen3.7-Plus None 1
#826 openai gpt-5.4-mini gpt-5.4-mini
gpt-5.4-nano
None gpt-5.4-mini
gpt-5.4-nano
1
2
3
#827 openai gpt-5.3-codex gpt-5.3-codex None gpt-5.3-codex 1
2
#828 mistral magistral-medium-2509 magistral-medium-2509
magistral-small-2509
devstral-2512
None magistral-medium-2509
magistral-small-2509
devstral-2512
1
2
#829 mistral open-mistral-nemo open-mistral-nemo
open-mistral-nemo-2407
None open-mistral-nemo
open-mistral-nemo-2407
1
2
#830 openai chatgpt-4o-latest chatgpt-4o-latest
codex-mini-latest
None chatgpt-4o-latest
codex-mini-latest
1
2

Verified metadata

#824: [BOT ISSUE] Groq: add missing qwen/qwen3.6-27b model

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
qwen/qwen3.6-27b Qwen 3.6 27B groq openai chat input=131072, output=32768 in/out=0.6/3 per 1M active

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
qwen/qwen3.6-27b catalog entry present missing None

#825: [BOT ISSUE] Together: add missing Qwen/Qwen3.7-Plus model

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
Qwen/Qwen3.7-Plus Qwen 3.7 Plus together openai chat input=1000000, output=not provided in/out=0.32/1.28 per 1M active

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
Qwen/Qwen3.7-Plus catalog entry present missing None

#826: [BOT ISSUE] OpenAI: update gpt-5.4-mini and gpt-5.4-nano max_input_tokens from 272K to 400K

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
gpt-5.4-mini GPT-5.4 mini openai, azure openai chat input=400000, output=128000 in/out=0.75/4.5 per 1M; cache read=0.075 per 1M multimodal=true; reasoning=true
gpt-5.4-nano GPT-5.4 nano openai, azure openai chat input=400000, output=128000 in/out=0.2/1.25 per 1M; cache read=0.02 per 1M multimodal=true; reasoning=true

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
gpt-5.4-mini max_input_tokens 400000 272000 gpt-5.4-mini
gpt-5.4-nano max_input_tokens 400000 272000 gpt-5.4-nano

#827: [BOT ISSUE] OpenAI: update gpt-5.3-codex max_input_tokens from 272K to 400K

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
gpt-5.3-codex GPT-5.3 Codex openai, azure openai chat input=400000, output=128000 in/out=1.75/14 per 1M; cache read=0.175 per 1M multimodal=true; reasoning=true

Verification notes

No LLM verification step ran; model metadata was already complete in the issue.

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
gpt-5.3-codex max_input_tokens 400000 272000 gpt-5.3-codex

#828: [BOT ISSUE] Mistral: add deprecation markers for magistral-medium-2509, magistral-small-2509, devstral-2512

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
magistral-medium-2509 Magistral Medium (2509) magistral-medium-latest mistral openai chat input=128000, output=not provided in/out=2/5 per 1M parent=magistral-medium-latest; date=2026-07-31
magistral-small-2509 Magistral Small (2509) magistral-small-latest mistral openai chat input=128000, output=not provided in/out=0.5/1.5 per 1M parent=magistral-small-latest; date=2026-07-31
devstral-2512 Devstral 2512 mistral openai chat input=262144, output=not provided in/out=0.4/2 per 1M date=2026-07-31

Verification notes

Verification

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
magistral-medium-2509 max_input_tokens 128000 40000 mistral/magistral-medium-2509
magistral-medium-2509 max_output_tokens n/a 40000 mistral/magistral-medium-2509
magistral-medium-2509 deprecation_date 2026-07-31 n/a mistral/magistral-medium-2509
magistral-small-2509 catalog entry present missing None
devstral-2512 max_input_tokens 262144 256000 mistral/devstral-2512
devstral-2512 max_output_tokens n/a 256000 mistral/devstral-2512
devstral-2512 deprecation_date 2026-07-31 n/a mistral/devstral-2512

#829: [BOT ISSUE] Mistral: add deprecation markers for open-mistral-nemo and open-mistral-nemo-2407

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
open-mistral-nemo Mistral NeMo mistral openai chat input=128000, output=128000 in/out=0.15/0.15 per 1M date=2026-07-31
open-mistral-nemo-2407 mistral openai chat input=128000, output=128000 in/out=0.15/0.15 per 1M date=2026-07-31

Verification notes

Verification

sync_models vs proposed update

sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.

Model Field Proposed update sync_models sync_models source models
open-mistral-nemo input_cost_per_mil_tokens 0.15 0.3 mistral/open-mistral-nemo
open-mistral-nemo output_cost_per_mil_tokens 0.15 0.3 mistral/open-mistral-nemo
open-mistral-nemo deprecation_date 2026-07-31 n/a mistral/open-mistral-nemo
open-mistral-nemo-2407 input_cost_per_mil_tokens 0.15 0.3 mistral/open-mistral-nemo-2407
open-mistral-nemo-2407 output_cost_per_mil_tokens 0.15 0.3 mistral/open-mistral-nemo-2407
open-mistral-nemo-2407 deprecation_date 2026-07-31 n/a mistral/open-mistral-nemo-2407

#830: [BOT ISSUE] OpenAI: mark chatgpt-4o-latest and codex-mini-latest as deprecated (already shut down)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
chatgpt-4o-latest ChatGPT-4o openai, azure openai chat input=128000, output=4096 in/out=5/15 per 1M deprecated=true; multimodal=true
codex-mini-latest openai, azure openai chat input=200000, output=100000 in/out=1.5/6 per 1M; cache read=0.375 per 1M deprecated=true; multimodal=true; reasoning=true

Verification notes

Verification

sync_models vs proposed update

sync_models cross-check found no pricing/token discrepancies for the changed models.

No sync_models discrepancies were noted.

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Project Deployment Actions Updated (UTC)
ai-proxy Ready Ready Preview, Comment Jun 19, 2026 11:53am

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Codex (@codex) review

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Codex Review: Didn't find any major issues. You're on a roll.

Reviewed commit: 3b20425104

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When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "Codex (@codex) address that feedback".

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Codex review found no issues ("Didn't find any major issues"). No changes were made to repository files.

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