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chore: update model catalog from bot issues#989

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chore/autofix-bot-issues-2026-07-18
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chore: update model catalog from bot issues#989
github-actions[bot] wants to merge 1 commit into
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chore/autofix-bot-issues-2026-07-18

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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
#975 databricks databricks-gpt-5-5-pro databricks-gpt-5-5-pro
databricks-gpt-5-4-mini
databricks-gemini-3-5-flash
databricks-gpt-5-5-pro
databricks-gpt-5-4-mini
databricks-gemini-3-5-flash
None 1
2
#977 mistral mistral-small-2603 mistral-small-2603 None mistral-small-2603 1
2
#978 xai grok-4.20-0309-non-reasoning grok-4.20-0309-non-reasoning None grok-4.20-0309-non-reasoning 1
2
#980 vertex publishers/meta/models/llama-4-maverick-17b-128e-instruct-maas publishers/meta/models/llama-4-maverick-17b-128e-instruct-maas
publishers/meta/models/llama-4-scout-17b-16e-instruct-maas
publishers/meta/models/llama-4-maverick-17b-128e-instruct-maas
publishers/meta/models/llama-4-scout-17b-16e-instruct-maas
None 1
2
3
4
5
#982 anthropic claude-mythos-5 claude-mythos-5
claude-mythos-preview
claude-mythos-5
claude-mythos-preview
None 1
2
3
#987 databricks databricks-gpt-5-3-codex databricks-gpt-5-3-codex
databricks-gemma-3-12b
databricks-gpt-5-3-codex
databricks-gemma-3-12b
None 1
2
#988 groq openai/gpt-oss-120b openai/gpt-oss-120b None openai/gpt-oss-120b 1
2

Verified metadata

#975: [BOT ISSUE] Databricks: add missing databricks-gpt-5-5-pro, databricks-gpt-5-4-mini, databricks-gemini-3-5-flash

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
databricks-gpt-5-5-pro GPT-5.5 Pro databricks openai chat input=1050000, output=128000 n/a multimodal=true; reasoning=true
databricks-gpt-5-4-mini GPT-5.4 mini databricks openai chat input=272000, output=128000 n/a multimodal=true; reasoning=true
databricks-gemini-3-5-flash Gemini 3.5 Flash databricks openai chat input=1048576, output=65536 n/a 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
databricks-gpt-5-5-pro catalog entry present missing None
databricks-gpt-5-4-mini catalog entry present missing None
databricks-gemini-3-5-flash catalog entry present missing None

#977: [BOT ISSUE] Mistral: add reasoning and reasoning_budget flags to mistral-small-2603

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
mistral-small-2603 Mistral Small (2603) mistral-small-latest mistral openai chat input=262144, output=not provided in/out=0.15/0.6 per 1M parent=mistral-small-latest; 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
mistral-small-2603 catalog entry present missing None

#978: [BOT ISSUE] xAI: add missing input_cache_read_cost_per_mil_tokens to grok-4.20-0309-non-reasoning

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

#980: [BOT ISSUE] Vertex: add missing Meta Llama 4 Maverick and Scout MaaS entries

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
publishers/meta/models/llama-4-maverick-17b-128e-instruct-maas Llama 4 Maverick (17Bx128E) Instruct vertex openai chat input=1048576, output=not provided in/out=0.5/1.5 per 1M multimodal=true
publishers/meta/models/llama-4-scout-17b-16e-instruct-maas Llama 4 Scout (17Bx16E) Instruct vertex openai chat input=10485760, output=not provided in/out=0.2/0.6 per 1M multimodal=true

Verification notes

Verification Checklist

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
publishers/meta/models/llama-4-maverick-17b-128e-instruct-maas catalog entry present missing None
publishers/meta/models/llama-4-scout-17b-16e-instruct-maas catalog entry present missing None

#982: [BOT ISSUE] Anthropic: add missing claude-mythos-5 and claude-mythos-preview models

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
claude-mythos-5 Claude Mythos 5 anthropic anthropic chat input=1000000, output=128000 in/out=10/50 per 1M; cache read=1 per 1M multimodal=true; reasoning=true
claude-mythos-preview Claude Mythos Preview anthropic anthropic chat input=1000000, output=128000 n/a 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
claude-mythos-5 catalog entry present missing None
claude-mythos-preview catalog entry present missing None

#987: [BOT ISSUE] Databricks: add missing databricks-gpt-5-3-codex and databricks-gemma-3-12b

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
databricks-gpt-5-3-codex GPT-5.3 Codex databricks openai chat input=400000, output=128000 n/a multimodal=true; reasoning=true
databricks-gemma-3-12b Gemma 3 12B databricks openai chat input=131072, output=not provided n/a 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
databricks-gpt-5-3-codex catalog entry present missing None
databricks-gemma-3-12b max_input_tokens 131072 128000 databricks/databricks-gemma-3-12b
databricks-gemma-3-12b max_output_tokens n/a 32000 databricks/databricks-gemma-3-12b
databricks-gemma-3-12b input_cost_per_mil_tokens n/a 0.15001 databricks/databricks-gemma-3-12b
databricks-gemma-3-12b output_cost_per_mil_tokens n/a 0.50001 databricks/databricks-gemma-3-12b

#988: [BOT ISSUE] Groq/Together: stale pricing for openai/gpt-oss-120b ($0.10/$0.50 → $0.15/$0.60)

Model Display name Parent Providers Format Flavor Token limits Pricing Lifecycle
openai/gpt-oss-120b OpenAI GPT-OSS (120B) groq, together, baseten openai chat input=131072, output=65536 in/out=0.15/0.6 per 1M; cache read=0.075 per 1M reasoning=true

Verification notes

Verification checklist

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
openai/gpt-oss-120b max_input_tokens 131072 n/a baseten/openai/gpt-oss-120b, groq/openai/gpt-oss-120b, together_ai/openai/gpt-oss-120b
openai/gpt-oss-120b max_output_tokens 65536 n/a baseten/openai/gpt-oss-120b, groq/openai/gpt-oss-120b, together_ai/openai/gpt-oss-120b
openai/gpt-oss-120b input_cost_per_mil_tokens 0.15 0.1 baseten/openai/gpt-oss-120b, groq/openai/gpt-oss-120b, together_ai/openai/gpt-oss-120b
openai/gpt-oss-120b output_cost_per_mil_tokens 0.6 0.5 baseten/openai/gpt-oss-120b, groq/openai/gpt-oss-120b, together_ai/openai/gpt-oss-120b
openai/gpt-oss-120b input_cache_read_cost_per_mil_tokens 0.075 n/a baseten/openai/gpt-oss-120b, groq/openai/gpt-oss-120b, together_ai/openai/gpt-oss-120b

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vercel Bot commented Jul 18, 2026

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The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Actions Updated (UTC)
ai-proxy Ready Ready Preview, Comment Jul 18, 2026 10:49am

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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: 68bcbbe3fe

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Comment on lines +7446 to +7447
"input_cost_per_mil_tokens": 0.5,
"output_cost_per_mil_tokens": 1.5,

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P2 Badge Use the current Vertex Llama pricing

These Vertex MaaS prices don't match Google's pricing for the same models: the official Agent Platform pricing page lists Llama 4 Maverick at $0.35 input / $1.15 output per MTok and Llama 4 Scout at $0.25 / $0.70, while this catalog sets Maverick to $0.50 / $1.50 and the Scout entry below to $0.20 / $0.60 (https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing). Since these new catalog entries are provider-specific to Vertex, requests to either model will be mispriced.

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"locations": [
"us-east5"
],
"max_input_tokens": 1048576,

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P2 Badge Cap the Vertex Llama quota values

Google's current MaaS specs list llama-4-maverick-17b-128e-instruct-maas with max output 8,192 and context length 524,288, and Scout below with max output 8,192 and context length 1,310,720 (https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/partner-models/llama/llama4-maverick and https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/partner-models/llama/llama4-scout). Advertising 1,048,576 here and 10,485,760 for Scout, while omitting max_output_tokens, lets clients/UI that rely on this catalog accept prompts or output settings that Vertex will reject.

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"multimodal": true,
"input_cost_per_mil_tokens": 10,
"output_cost_per_mil_tokens": 50,
"input_cache_read_cost_per_mil_tokens": 1,

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P2 Badge Add cache-write pricing for Mythos 5

When a claude-mythos-5 request creates prompt-cache entries, the proxy emits cache_write_input_tokens, but this new catalog entry only supplies cache-hit/read pricing. Anthropic's pricing table lists Mythos 5 5-minute cache writes at $12.50/MTok and 1-hour writes at $20/MTok, matching Fable 5 (https://platform.claude.com/docs/en/about-claude/pricing), so cache-creation usage for this newly routed model will be unc costed or undercharged unless the input_cache_write_* fields are added.

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