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chore: update model catalog from bot issues#876

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Erin McNulty (erin2722) merged 2 commits into
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chore/autofix-bot-issues-2026-06-26
Jun 26, 2026
Merged

chore: update model catalog from bot issues#876
Erin McNulty (erin2722) merged 2 commits into
mainfrom
chore/autofix-bot-issues-2026-06-26

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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
#851 anthropic claude-sonnet-4-6 claude-sonnet-4-6
anthropic.claude-sonnet-4-6
us.anthropic.claude-sonnet-4-6
global.anthropic.claude-sonnet-4-6
publishers/anthropic/models/claude-sonnet-4-6
None claude-sonnet-4-6
anthropic.claude-sonnet-4-6
us.anthropic.claude-sonnet-4-6
global.anthropic.claude-sonnet-4-6
publishers/anthropic/models/claude-sonnet-4-6
1
2
3
#852 together google/gemma-4-31B-it google/gemma-4-31B-it
Qwen/Qwen3.5-9B
meta-llama/Llama-3.3-70B-Instruct-Turbo
None google/gemma-4-31B-it
Qwen/Qwen3.5-9B
meta-llama/Llama-3.3-70B-Instruct-Turbo
1
2
#853 openai gpt-5 gpt-5
gpt-5.4-mini
gpt-5.4-nano
None gpt-5
gpt-5.4-mini
gpt-5.4-nano
1
2
3
4
#854 mistral pixtral-large-latest pixtral-large-latest
pixtral-12b-2409
mistral-saba-latest
None pixtral-large-latest
pixtral-12b-2409
mistral-saba-latest
1
2
#855 groq meta-llama/llama-4-maverick-17b-128e-instruct meta-llama/llama-4-maverick-17b-128e-instruct
moonshotai/kimi-k2-instruct-0905
None meta-llama/llama-4-maverick-17b-128e-instruct
moonshotai/kimi-k2-instruct-0905
1
2
#859 openai gpt-5-pro gpt-5-pro
gpt-5-pro-2025-10-06
None gpt-5-pro
gpt-5-pro-2025-10-06
1
2
#860 openai chat-latest chat-latest None chat-latest 1
2
#862 mistral codestral-2508 codestral-2508
voxtral-small-2507
None codestral-2508
voxtral-small-2507
1
2
#866 xai grok-4.20-multi-agent-0309 grok-4.20-multi-agent-0309 grok-4.20-multi-agent-0309 None 1
2
#867 google gemini-3.1-flash-image gemini-3.1-flash-image gemini-3.1-flash-image None 1
2
#868 groq llama-3.1-8b-instant llama-3.1-8b-instant
llama-3.3-70b-versatile
qwen/qwen3-32b
None llama-3.1-8b-instant
llama-3.3-70b-versatile
qwen/qwen3-32b
1
2
#869 groq meta-llama/llama-4-scout-17b-16e-instruct meta-llama/llama-4-scout-17b-16e-instruct
gemma2-9b-it
llama3-70b-8192
None meta-llama/llama-4-scout-17b-16e-instruct
gemma2-9b-it
llama3-70b-8192
1
2
#870 cerebras llama-4-scout-17b-16e-instruct llama-4-scout-17b-16e-instruct
llama3.3-70b
llama3.1-8b
None llama-4-scout-17b-16e-instruct
llama3.3-70b
llama3.1-8b
1
2
#871 groq llama3-8b-8192 llama3-8b-8192
mistral-saba-24b
deepseek-r1-distill-llama-70b
None llama3-8b-8192
mistral-saba-24b
deepseek-r1-distill-llama-70b
1
2
3
#872 groq deepseek-r1-distill-llama-70b-specdec deepseek-r1-distill-llama-70b-specdec
deepseek-r1-distill-qwen-32b
qwen-2.5-32b
None deepseek-r1-distill-llama-70b-specdec
deepseek-r1-distill-qwen-32b
qwen-2.5-32b
1
2
#873 groq qwen-2.5-coder-32b qwen-2.5-coder-32b
qwen-qwq-32b
llama-guard-3-8b
None qwen-2.5-coder-32b
qwen-qwq-32b
llama-guard-3-8b
1
2
#874 groq llama-3.2-90b-vision-preview llama-3.2-90b-vision-preview
llama-3.2-11b-vision-preview
llama-3.2-3b-preview
None llama-3.2-90b-vision-preview
llama-3.2-11b-vision-preview
llama-3.2-3b-preview
1
2
#875 groq llama-3.2-1b-preview llama-3.2-1b-preview None llama-3.2-1b-preview 1
2

Verified metadata

#851: [BOT ISSUE] Anthropic: claude-sonnet-4-6 max_output_tokens should be 128000, not 64000

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
claude-sonnet-4-6 Claude Sonnet 4.6 anthropic anthropic chat input=1000000, output=128000 in/out=3/15 per 1M; cache read=0.3 per 1M; cache write=3.75 per 1M multimodal=true; reasoning=true
anthropic.claude-sonnet-4-6 Claude Sonnet 4.6 bedrock anthropic chat input=1000000, output=128000 in/out=3/15 per 1M; cache read=0.3 per 1M; cache write=3.75 per 1M multimodal=true; reasoning=true
us.anthropic.claude-sonnet-4-6 US Claude 4.6 Sonnet anthropic.claude-sonnet-4-6 bedrock anthropic chat input=1000000, output=128000 in/out=3.3/16.5 per 1M; cache read=0.33 per 1M; cache write=4.125 per 1M parent=anthropic.claude-sonnet-4-6; multimodal=true; reasoning=true
global.anthropic.claude-sonnet-4-6 Global Claude 4.6 Sonnet anthropic.claude-sonnet-4-6 bedrock anthropic chat input=1000000, output=128000 in/out=3/15 per 1M; cache read=0.3 per 1M; cache write=3.75 per 1M parent=anthropic.claude-sonnet-4-6; multimodal=true; reasoning=true
publishers/anthropic/models/claude-sonnet-4-6 Claude Sonnet 4.6 vertex anthropic chat input=1000000, output=128000 in/out=3/15 per 1M; cache read=0.3 per 1M; cache write=3.75 per 1M multimodal=true; reasoning=true

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
claude-sonnet-4-6 max_output_tokens 128000 64000 claude-sonnet-4-6
anthropic.claude-sonnet-4-6 max_output_tokens 128000 64000 anthropic.claude-sonnet-4-6
us.anthropic.claude-sonnet-4-6 max_output_tokens 128000 64000 us.anthropic.claude-sonnet-4-6
global.anthropic.claude-sonnet-4-6 max_output_tokens 128000 64000 global.anthropic.claude-sonnet-4-6
publishers/anthropic/models/claude-sonnet-4-6 catalog entry present missing None

#852: [BOT ISSUE] Together: stale pricing for google/gemma-4-31B-it, Qwen/Qwen3.5-9B, and meta-llama/Llama-3.3-70B-Instruct-Turbo

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
google/gemma-4-31B-it Gemma 4 31B IT together openai chat input=262144, output=not provided in/out=0.39/0.97 per 1M active
Qwen/Qwen3.5-9B Qwen3.5 9B together openai chat input=262144, output=not provided in/out=0.17/0.25 per 1M active
meta-llama/Llama-3.3-70B-Instruct-Turbo Llama 3.3 70B Instruct Turbo together openai chat input=n/a, output=not provided in/out=1.04/1.04 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
google/gemma-4-31B-it catalog entry present missing None
Qwen/Qwen3.5-9B catalog entry present missing None
meta-llama/Llama-3.3-70B-Instruct-Turbo input_cost_per_mil_tokens 1.04 0.88 together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo
meta-llama/Llama-3.3-70B-Instruct-Turbo output_cost_per_mil_tokens 1.04 0.88 together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo

#853: [BOT ISSUE] OpenAI: stale max_input_tokens for gpt-5, gpt-5.4-mini, and gpt-5.4-nano (272000 → 400000)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
gpt-5 GPT-5 openai, azure openai chat input=400000, output=128000 in/out=1.25/10 per 1M; cache read=0.125 per 1M multimodal=true; reasoning=true
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 max_input_tokens 400000 272000 gpt-5
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

#854: [BOT ISSUE] Mistral: missing deprecation flags for pixtral-large-latest, pixtral-12b-2409, and mistral-saba-latest

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
pixtral-large-latest Pixtral Large mistral openai chat input=128000, output=128000 in/out=2/6 per 1M deprecated=true; date=2026-05-31; multimodal=true
pixtral-12b-2409 Pixtral 12B mistral openai chat input=128000, output=128000 in/out=0.15/0.15 per 1M deprecated=true; date=2025-12-31; multimodal=true
mistral-saba-latest Mistral Saba n/a openai chat input=n/a, output=not provided in/out=0.2/0.6 per 1M deprecated=true; date=2025-09-30

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
pixtral-large-latest deprecation_date 2026-05-31 n/a mistral/pixtral-large-latest
pixtral-12b-2409 deprecation_date 2025-12-31 n/a mistral/pixtral-12b-2409
mistral-saba-latest catalog entry present missing None

#855: [BOT ISSUE] Groq: missing deprecation flags for meta-llama/llama-4-maverick-17b-128e-instruct and moonshotai/kimi-k2-instruct-0905

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
meta-llama/llama-4-maverick-17b-128e-instruct Llama 4 Maverick (17Bx128E) groq openai chat input=131072, output=8192 in/out=0.2/0.6 per 1M deprecated=true; date=2026-03-09; multimodal=true
moonshotai/kimi-k2-instruct-0905 Kimi K2 0905 groq openai chat input=262144, output=16384 in/out=1/3 per 1M; cache read=0.5 per 1M deprecated=true; date=2026-04-15

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
meta-llama/llama-4-maverick-17b-128e-instruct deprecation_date 2026-03-09 n/a groq/meta-llama/llama-4-maverick-17b-128e-instruct
moonshotai/kimi-k2-instruct-0905 deprecation_date 2026-04-15 n/a groq/moonshotai/kimi-k2-instruct-0905

#859: [BOT ISSUE] OpenAI: gpt-5-pro and gpt-5-pro-2025-10-06 stale max_input_tokens (128000 → 400000)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
gpt-5-pro GPT-5 Pro openai, azure openai chat input=400000, output=272000 in/out=15/120 per 1M multimodal=true; reasoning=true
gpt-5-pro-2025-10-06 GPT-5 Pro (2025-10-06) gpt-5-pro openai, azure openai chat input=400000, output=272000 in/out=15/120 per 1M parent=gpt-5-pro; 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-pro max_input_tokens 400000 128000 gpt-5-pro
gpt-5-pro-2025-10-06 max_input_tokens 400000 128000 gpt-5-pro-2025-10-06

#860: [BOT ISSUE] OpenAI: chat-latest stale max_input_tokens (128000 → 400000) and max_output_tokens (16384 → 128000)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
chat-latest GPT Chat Latest openai, azure openai chat input=400000, output=128000 in/out=5/30 per 1M; cache read=0.5 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
chat-latest catalog entry present missing None

#862: [BOT ISSUE] Mistral: codestral-2508 stale max_input_tokens (256000 → 128000) and voxtral-small-2507 stale output pricing ($0.4 → $0.3)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
codestral-2508 Codestral 2508 codestral-latest mistral openai chat input=128000, output=not provided in/out=0.3/0.9 per 1M parent=codestral-latest
voxtral-small-2507 mistral openai chat input=32000, output=not provided in/out=0.1/0.3 per 1M multimodal=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
codestral-2508 max_input_tokens 128000 256000 mistral/codestral-2508
codestral-2508 max_output_tokens n/a 256000 mistral/codestral-2508
voxtral-small-2507 catalog entry present missing None

#866: [BOT ISSUE] xAI: missing canonical model ID grok-4.20-multi-agent-0309

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
grok-4.20-multi-agent-0309 Grok 4.20 Multi-Agent (0309) xAI openai chat input=1000000, output=not provided in/out=1.25/2.5 per 1M; cache read=0.2 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
grok-4.20-multi-agent-0309 catalog entry present missing None

#867: [BOT ISSUE] Google: missing stable model gemini-3.1-flash-image

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
gemini-3.1-flash-image Gemini 3.1 Flash Image google google chat input=131072, output=32768 in/out=0.5/3 per 1M multimodal=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
gemini-3.1-flash-image catalog entry present missing None

#868: [BOT ISSUE] Groq: missing deprecation_date for llama-3.1-8b-instant, llama-3.3-70b-versatile, and qwen/qwen3-32b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
llama-3.1-8b-instant Llama 3.1 8B Instant 128k groq openai chat input=131072, output=131072 in/out=0.05/0.08 per 1M date=2026-08-16
llama-3.3-70b-versatile Llama 3.3 70B Versatile 128k groq openai chat input=128000, output=32768 in/out=0.59/0.79 per 1M date=2026-08-16
qwen/qwen3-32b Qwen3-32B groq openai chat input=131072, output=40960 in/out=0.29/0.59 per 1M date=2026-07-17; 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
llama-3.1-8b-instant max_input_tokens 131072 128000 groq/llama-3.1-8b-instant
llama-3.1-8b-instant max_output_tokens 131072 8192 groq/llama-3.1-8b-instant
llama-3.1-8b-instant deprecation_date 2026-08-16 n/a groq/llama-3.1-8b-instant
llama-3.3-70b-versatile deprecation_date 2026-08-16 n/a groq/llama-3.3-70b-versatile
qwen/qwen3-32b max_input_tokens 131072 131000 groq/qwen/qwen3-32b
qwen/qwen3-32b max_output_tokens 40960 131000 groq/qwen/qwen3-32b
qwen/qwen3-32b deprecation_date 2026-07-17 n/a groq/qwen/qwen3-32b

#869: [BOT ISSUE] Groq: missing deprecation flags for meta-llama/llama-4-scout-17b-16e-instruct, gemma2-9b-it, and llama3-70b-8192

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
meta-llama/llama-4-scout-17b-16e-instruct Llama 4 Scout (17Bx16E) groq openai chat input=131072, output=8192 in/out=0.11/0.34 per 1M date=2026-07-17
gemma2-9b-it Gemma 2 9B groq openai chat input=n/a, output=not provided in/out=0.2/0.2 per 1M deprecated=true; date=2025-10-08
llama3-70b-8192 Llama 3 70B 8k groq openai chat input=n/a, output=not provided in/out=0.64/0.8 per 1M deprecated=true; date=2025-08-30

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
meta-llama/llama-4-scout-17b-16e-instruct deprecation_date 2026-07-17 n/a groq/meta-llama/llama-4-scout-17b-16e-instruct
gemma2-9b-it catalog entry present missing None
llama3-70b-8192 catalog entry present missing None

#870: [BOT ISSUE] Cerebras: missing deprecation flags for llama-4-scout-17b-16e-instruct, llama3.3-70b, and llama3.1-8b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
llama-4-scout-17b-16e-instruct LLaMA 4 Scout 17B 16e Instruct cerebras openai chat input=131072, output=8192 in/out=0.11/0.34 per 1M deprecated=true; date=2025-11-03
llama3.3-70b Llama 3.3 70B cerebras openai chat input=n/a, output=not provided in/out=0.1/0.1 per 1M deprecated=true; date=2026-02-16
llama3.1-8b Llama 3.1 8B cerebras openai chat input=128000, output=128000 in/out=0.1/0.1 per 1M deprecated=true; date=2026-05-27

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
llama-4-scout-17b-16e-instruct catalog entry present missing None
llama3.3-70b catalog entry present missing None
llama3.1-8b deprecation_date 2026-05-27 n/a cerebras/llama3.1-8b

#871: [BOT ISSUE] Groq: missing deprecation flags for llama3-8b-8192, mistral-saba-24b, and deepseek-r1-distill-llama-70b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
llama3-8b-8192 Llama 3 8B 8k groq openai chat input=n/a, output=not provided in/out=0.05/0.08 per 1M deprecated=true; date=2025-08-30
mistral-saba-24b Mistral Saba 24B groq openai chat input=n/a, output=not provided in/out=0.79/0.79 per 1M deprecated=true; date=2025-07-30
deepseek-r1-distill-llama-70b DeepSeek R1 Distill Llama 70b groq, cerebras openai chat input=n/a, output=not provided in/out=0.23/0.69 per 1M deprecated=true; date=2025-08-12

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
llama3-8b-8192 catalog entry present missing None
mistral-saba-24b catalog entry present missing None
deepseek-r1-distill-llama-70b catalog entry present missing None

#872: [BOT ISSUE] Groq: missing deprecation flags for deepseek-r1-distill-llama-70b-specdec, deepseek-r1-distill-qwen-32b, and qwen-2.5-32b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
deepseek-r1-distill-llama-70b-specdec DeepSeek R1 Distill Llama 70b (Speculative Decoding) groq openai chat input=n/a, output=not provided in/out=0.23/0.69 per 1M deprecated=true; date=2025-04-14
deepseek-r1-distill-qwen-32b DeepSeek R1 Distill Qwen 32b groq openai chat input=n/a, output=not provided in/out=0.23/0.69 per 1M deprecated=true; date=2025-04-14
qwen-2.5-32b Qwen 2.5 32B groq openai chat input=n/a, output=not provided in/out=0.29/0.39 per 1M deprecated=true; date=2025-04-14

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
deepseek-r1-distill-llama-70b-specdec catalog entry present missing None
deepseek-r1-distill-qwen-32b catalog entry present missing None
qwen-2.5-32b catalog entry present missing None

#873: [BOT ISSUE] Groq: missing deprecation flags for qwen-2.5-coder-32b, qwen-qwq-32b, and llama-guard-3-8b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
qwen-2.5-coder-32b Qwen 2.5 Coder 32B groq openai chat input=n/a, output=not provided in/out=0.29/0.39 per 1M deprecated=true; date=2025-04-14
qwen-qwq-32b Qwen QwQ 32B groq openai chat input=n/a, output=not provided in/out=0.29/0.39 per 1M deprecated=true; date=2025-07-14; reasoning=true
llama-guard-3-8b Llama Guard 3 8B groq openai chat input=n/a, output=not provided in/out=0.2/0.2 per 1M deprecated=true; date=2025-06-06

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-2.5-coder-32b catalog entry present missing None
qwen-qwq-32b catalog entry present missing None
llama-guard-3-8b catalog entry present missing None

#874: [BOT ISSUE] Groq: missing deprecation flags for llama-3.2-90b-vision-preview, llama-3.2-11b-vision-preview, and llama-3.2-3b-preview

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
llama-3.2-90b-vision-preview Llama 3.2 90B Vision Preview groq openai chat input=n/a, output=not provided in/out=0.9/0.9 per 1M deprecated=true; date=2025-04-14; multimodal=true
llama-3.2-11b-vision-preview Llama 3.2 11B Vision Preview groq openai chat input=n/a, output=not provided in/out=0.18/0.18 per 1M deprecated=true; date=2025-04-14; multimodal=true
llama-3.2-3b-preview Llama 3.2 3B Preview groq openai chat input=n/a, output=not provided in/out=0.06/0.06 per 1M deprecated=true; date=2025-04-14

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
llama-3.2-90b-vision-preview catalog entry present missing None
llama-3.2-11b-vision-preview catalog entry present missing None
llama-3.2-3b-preview catalog entry present missing None

#875: [BOT ISSUE] Groq: missing deprecation flag for llama-3.2-1b-preview

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
llama-3.2-1b-preview Llama 3.2 1B Preview groq openai chat input=n/a, output=not provided in/out=0.04/0.04 per 1M deprecated=true; date=2025-04-14

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
llama-3.2-1b-preview catalog entry present missing None

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ai-proxy Ready Ready Preview, Comment Jun 26, 2026 2:48pm

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Codex (@codex) review

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💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: d9503dbdc0

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Comment thread packages/proxy/schema/model_list.json Outdated
Comment on lines +9447 to +9449
"locations": [
"global"
],

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P2 Badge Preserve Vertex region selection for Claude 4.6

When a Vertex secret is configured with a regional or multi-region location, this locations override makes resolveVertexLocation choose modelSpec.locations before the secret metadata (packages/proxy/src/proxy.ts:2645), so every Vertex call to Sonnet 4.6 is forced to /locations/global/. Google documents Sonnet 4.6 as available in us-east5, europe-west1, asia-southeast1, and global (https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/partner-models/claude/sonnet-4-6#supported-regions), so customers relying on regional routing/data residency lose their configured location unless this is removed or all supported locations are represented without overriding metadata.

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Comment on lines +13066 to +13068
"available_providers": [
"google"
]

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P2 Badge Expose Gemini 3.1 Flash Image on Vertex

For Vertex-only installations, this new model will not be selectable because it advertises only the google provider and has no publisher fallback, while Google Cloud lists gemini-3.1-flash-image as available on the global endpoint (https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/gemini/3-1-flash-image#supported-regions). The adjacent stable image model (gemini-3-pro-image) includes both google and vertex plus a publishers/google/models/... fallback, so this omission prevents routing through supported Vertex credentials.

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@github-actions github-actions Bot force-pushed the chore/autofix-bot-issues-2026-06-26 branch from d9503db to 55006dc Compare June 26, 2026 11:29
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Codex Review Response

Issue 1: Preserve Vertex region selection for Claude 4.6 (P2)

Fixed. Removed the "locations": ["global"] override from publishers/anthropic/models/claude-sonnet-4-6 in model_list.json. No other Claude Vertex model (Sonnet 4.5, Opus 4.7, Opus 4.6, etc.) has a locations field — the override was an anomaly introduced in this commit that would force all Vertex calls to the global endpoint, breaking customer-configured regional routing for data residency.

Issue 2: Expose Gemini 3.1 Flash Image on Vertex (P2)

Fixed. The gemini-3.1-flash-image entry was missing Vertex support, unlike its preview counterpart (gemini-3.1-flash-image-preview) and sibling model (gemini-3-pro-image), both of which include Vertex routing. Changes:

  • model_list.json: Added fallback_models: ["publishers/google/models/gemini-3.1-flash-image"] and supported_regions: ["global"] to the non-publisher entry; added "vertex" to its available_providers; added a new publishers/google/models/gemini-3.1-flash-image publisher entry (vertex-only, locations: ["global"]), matching the pattern of the preview version.
  • index.ts: Updated gemini-3.1-flash-image providers to ["google", "vertex"] and added publishers/google/models/gemini-3.1-flash-image: ["vertex"].

This was referenced Jun 26, 2026
The bot bumped publishers/anthropic/models/claude-sonnet-4-6 max_output_tokens
to 128000, but Claude Sonnet 4.6 has a 64000 output cap (LiteLLM lists 64000 for
both claude-sonnet-4-6 and vertex_ai/claude-sonnet-4-6, and the non-vertex
catalog entry is 64000). The max_input bump to 1000000 is correct (Sonnet 4.6 is
1M context); only the output value was wrong. Keep the two provider variants
consistent at 1M / 64000.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
@erin2722 Erin McNulty (erin2722) merged commit c12294c into main Jun 26, 2026
7 of 8 checks passed
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