Summary
The Databricks Foundation Model APIs catalog is severely outdated. The local catalog has only 4 active Databricks-prefixed entries (plus one deprecated databricks-claude-3-7-sonnet), while the official Databricks docs list 30+ pay-per-token serverless models. This issue covers the 3 highest-impact missing models.
Missing Model IDs
| Model ID |
Context Window |
Max Output |
Underlying Model |
databricks-claude-opus-4-7 |
1,000,000 |
not published |
Claude Opus 4.7 |
databricks-claude-sonnet-4-6 |
not published |
not published |
Claude Sonnet 4.6 |
databricks-gpt-5-5 |
400,000 |
128,000 |
GPT-5.5 |
Verification checklist
Verification notes
Fields NOT verified from official sources:
input_cost_per_mil_tokens / output_cost_per_mil_tokens — Databricks does not publish stable public per-model pricing on their docs. The downstream fix job should check the Databricks pricing page or API directly.
max_output_tokens for databricks-claude-opus-4-7 and databricks-claude-sonnet-4-6 — not published on the supported models page. Can be inferred from the underlying Anthropic models (128K for Opus 4.7, 64K for Sonnet 4.6) but not verified for the Databricks-hosted version.
max_input_tokens for databricks-claude-sonnet-4-6 — not published on the supported models page.
multimodal — the underlying models support multimodal, but it's not confirmed for the Databricks-hosted versions.
Local files inspected
packages/proxy/schema/model_list.json — grep for databricks returns only 5 entries:
databricks/dbrx-instruct (old, no provider)
databricks-claude-3-7-sonnet (deprecated since 2026-02-19)
databricks-meta-llama-3-3-70b-instruct
databricks-meta-llama-3-1-405b-instruct
databricks-meta-llama-3-1-8b-instruct
Additional missing Databricks models (not covered here)
The following are also missing but excluded from this issue due to the 3-model limit:
databricks-gpt-5-5-pro, databricks-gpt-5-4, databricks-gpt-5-4-mini, databricks-gpt-5-4-nano
databricks-gpt-5-3-codex, databricks-gpt-5-2-codex, databricks-gpt-5-2, databricks-gpt-5
databricks-gpt-5-mini, databricks-gpt-5-nano, databricks-gpt-5-1
databricks-gpt-oss-120b, databricks-gpt-oss-20b
databricks-gemini-3-1-pro, databricks-gemini-3-flash, databricks-gemini-3-1-flash-lite
databricks-gemini-2-5-pro, databricks-gemini-2-5-flash
databricks-claude-haiku-4-5, databricks-claude-sonnet-4-5, databricks-claude-opus-4-6
databricks-claude-opus-4-5, databricks-claude-opus-4-1, databricks-claude-sonnet-4
databricks-qwen35-122b-a10b, databricks-qwen3-next-80b-a3b-instruct
databricks-gemma-3-12b, databricks-llama-4-maverick
{
"kind": "missing_model",
"provider": "databricks",
"models": ["databricks-claude-opus-4-7", "databricks-claude-sonnet-4-6", "databricks-gpt-5-5"],
"status": "active",
"model_specs": {
"databricks-claude-opus-4-7": {
"format": "openai",
"flavor": "chat",
"displayName": "Claude Opus 4.7",
"max_input_tokens": 1000000,
"available_providers": ["databricks"]
},
"databricks-claude-sonnet-4-6": {
"format": "openai",
"flavor": "chat",
"displayName": "Claude Sonnet 4.6",
"available_providers": ["databricks"]
},
"databricks-gpt-5-5": {
"format": "openai",
"flavor": "chat",
"displayName": "GPT-5.5",
"max_input_tokens": 400000,
"max_output_tokens": 128000,
"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
The Databricks Foundation Model APIs catalog is severely outdated. The local catalog has only 4 active Databricks-prefixed entries (plus one deprecated
databricks-claude-3-7-sonnet), while the official Databricks docs list 30+ pay-per-token serverless models. This issue covers the 3 highest-impact missing models.Missing Model IDs
databricks-claude-opus-4-7databricks-claude-sonnet-4-6databricks-gpt-5-5Verification checklist
databricks-claude-opusordatabricks-gpt-5entries inmodel_list.json. The most recent Databricks entry isdatabricks-claude-3-7-sonnetwhich is deprecated (deprecation_date: 2026-02-19).databricks-<model-description>(e.g.,databricks-meta-llama-3-3-70b-instructat line 9065,databricks-meta-llama-3-1-405b-instructat line 9077).Verification notes
Fields NOT verified from official sources:
input_cost_per_mil_tokens/output_cost_per_mil_tokens— Databricks does not publish stable public per-model pricing on their docs. The downstream fix job should check the Databricks pricing page or API directly.max_output_tokensfordatabricks-claude-opus-4-7anddatabricks-claude-sonnet-4-6— not published on the supported models page. Can be inferred from the underlying Anthropic models (128K for Opus 4.7, 64K for Sonnet 4.6) but not verified for the Databricks-hosted version.max_input_tokensfordatabricks-claude-sonnet-4-6— not published on the supported models page.multimodal— the underlying models support multimodal, but it's not confirmed for the Databricks-hosted versions.Local files inspected
packages/proxy/schema/model_list.json— grep fordatabricksreturns only 5 entries:databricks/dbrx-instruct(old, no provider)databricks-claude-3-7-sonnet(deprecated since 2026-02-19)databricks-meta-llama-3-3-70b-instructdatabricks-meta-llama-3-1-405b-instructdatabricks-meta-llama-3-1-8b-instructAdditional missing Databricks models (not covered here)
The following are also missing but excluded from this issue due to the 3-model limit:
databricks-gpt-5-5-pro,databricks-gpt-5-4,databricks-gpt-5-4-mini,databricks-gpt-5-4-nanodatabricks-gpt-5-3-codex,databricks-gpt-5-2-codex,databricks-gpt-5-2,databricks-gpt-5databricks-gpt-5-mini,databricks-gpt-5-nano,databricks-gpt-5-1databricks-gpt-oss-120b,databricks-gpt-oss-20bdatabricks-gemini-3-1-pro,databricks-gemini-3-flash,databricks-gemini-3-1-flash-litedatabricks-gemini-2-5-pro,databricks-gemini-2-5-flashdatabricks-claude-haiku-4-5,databricks-claude-sonnet-4-5,databricks-claude-opus-4-6databricks-claude-opus-4-5,databricks-claude-opus-4-1,databricks-claude-sonnet-4databricks-qwen35-122b-a10b,databricks-qwen3-next-80b-a3b-instructdatabricks-gemma-3-12b,databricks-llama-4-maverick{ "kind": "missing_model", "provider": "databricks", "models": ["databricks-claude-opus-4-7", "databricks-claude-sonnet-4-6", "databricks-gpt-5-5"], "status": "active", "model_specs": { "databricks-claude-opus-4-7": { "format": "openai", "flavor": "chat", "displayName": "Claude Opus 4.7", "max_input_tokens": 1000000, "available_providers": ["databricks"] }, "databricks-claude-sonnet-4-6": { "format": "openai", "flavor": "chat", "displayName": "Claude Sonnet 4.6", "available_providers": ["databricks"] }, "databricks-gpt-5-5": { "format": "openai", "flavor": "chat", "displayName": "GPT-5.5", "max_input_tokens": 400000, "max_output_tokens": 128000, "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" ] }