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Three Databricks Foundation Model API pay-per-token models are missing from packages/proxy/schema/model_list.json. This is a follow-up to #559, #585, #591, #592, #638, #639, #640, #641, #642, and #643, continuing to address the Databricks catalog gap.
Missing Model IDs
Model ID
Context Window
Max Output
Supported Inputs
Description
databricks-claude-opus-4-8
not published
not published
text, image
Anthropic's most capable hybrid reasoning model for complex extraction and agentic reasoning
databricks-gpt-oss-120b
128,000
not published
text
OpenAI's flagship open-weight reasoning model with chain-of-thought
databricks-llama-4-maverick
not published
not published
text, image
Meta's mixture-of-experts model optimized for image and text understanding
Databricks does not publish stable per-model pricing
max_output_tokens
NOT PUBLISHED
Not specified for any of these models
reasoning
NOT VERIFIED
Not confirmed for Databricks-hosted versions
Local files inspected
packages/proxy/schema/model_list.json — grep for databricks-claude-opus-4-8, databricks-gpt-oss-120b, and databricks-llama-4-maverick returns no matches
Existing Databricks entries at lines 9198–9233 used as reference pattern
Summary: Add three missing Databricks Foundation Model API entries to the catalog. All model IDs verified from two independent official Databricks documentation pages. Pricing omitted per provider constraints.
Summary
Three Databricks Foundation Model API pay-per-token models are missing from
packages/proxy/schema/model_list.json. This is a follow-up to #559, #585, #591, #592, #638, #639, #640, #641, #642, and #643, continuing to address the Databricks catalog gap.Missing Model IDs
databricks-claude-opus-4-8databricks-gpt-oss-120bdatabricks-llama-4-maverickSuggested entries
Pricing omitted per Databricks provider constraints (no stable public per-model pricing source).
Verification checklist
model_list.jsondatabricks-<model>naming convention (e.g.,databricks-meta-llama-3-3-70b-instruct,databricks-meta-llama-3-1-405b-instruct)databricks-llama-4-maverick,databricks-gpt-oss-120b,databricks-gemma-3-12b#591, [BOT ISSUE] Databricks: add missingdatabricks-claude-sonnet-4-5,databricks-claude-opus-4-6,databricks-claude-sonnet-4#592, [BOT ISSUE] Databricks: add missingdatabricks-gpt-5-4,databricks-gpt-5-4-nano,databricks-gpt-5-2#638, [BOT ISSUE] Databricks: add missingdatabricks-gemini-3-1-pro,databricks-gemini-2-5-pro,databricks-gemini-2-5-flash#639, [BOT ISSUE] Databricks: add missingdatabricks-claude-haiku-4-5,databricks-claude-opus-4-5,databricks-claude-opus-4-1#640, [BOT ISSUE] Databricks: add missingdatabricks-gpt-5,databricks-gpt-5-1,databricks-gpt-5-mini#641, [BOT ISSUE] Databricks: add missingdatabricks-gpt-5-nano,databricks-gpt-5-3-codex,databricks-gpt-5-2-codex#642, or [BOT ISSUE] Databricks: add missingdatabricks-gemini-3-flash,databricks-gemini-3-1-flash-lite,databricks-gpt-oss-20b#643. Searched fordatabricks-claude-opus-4-8,databricks-gpt-oss-120b, anddatabricks-llama-4-maverickin issue titles — zero results.Verification notes
format: "openai",flavor: "chat"multimodal: true(Claude, Llama)multimodal(gpt-oss-120b)input_cost_per_mil_tokens/output_cost_per_mil_tokensmax_output_tokensreasoningLocal files inspected
packages/proxy/schema/model_list.json— grep fordatabricks-claude-opus-4-8,databricks-gpt-oss-120b, anddatabricks-llama-4-maverickreturns no matchesSource URLs
{ "kind": "missing_model", "provider": "databricks", "models": ["databricks-claude-opus-4-8", "databricks-gpt-oss-120b", "databricks-llama-4-maverick"], "status": "active", "model_specs": { "databricks-claude-opus-4-8": { "format": "openai", "flavor": "chat", "multimodal": true, "displayName": "Claude Opus 4.8", "available_providers": ["databricks"] }, "databricks-gpt-oss-120b": { "format": "openai", "flavor": "chat", "displayName": "GPT-OSS 120B", "max_input_tokens": 128000, "available_providers": ["databricks"] }, "databricks-llama-4-maverick": { "format": "openai", "flavor": "chat", "multimodal": true, "displayName": "Llama 4 Maverick", "available_providers": ["databricks"] } }, "source_urls": [ "https://docs.databricks.com/aws/en/machine-learning/model-serving/foundation-model-overview", "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models" ] }Summary: Add three missing Databricks Foundation Model API entries to the catalog. All model IDs verified from two independent official Databricks documentation pages. Pricing omitted per provider constraints.