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Two Databricks Foundation Model API pay-per-token Qwen models are missing from packages/proxy/schema/model_list.json. This is a follow-up to #559, #585, #591, #592, #638, #639, and #640, continuing to address the Databricks catalog gap.
Missing Model IDs
Model ID
Context Window
Max Output
Supported Inputs
Status
Description
databricks-qwen35-122b-a10b
256,000
8,000
text
Public Preview
Hybrid Mixture-of-Experts (MoE) reasoning model
databricks-qwen3-next-80b-a3b-instruct
not published
not published
text
Public Preview
Highly efficient LLM optimized for instruction-following
Details
Both models are currently in Public Preview on Databricks. They represent the Qwen model family on the Databricks platform. The databricks-qwen35-122b-a10b has a documented 256K context window with 8K max output, while databricks-qwen3-next-80b-a3b-instruct does not have published context/output limits.
Pricing omitted per Databricks provider constraints (no stable public per-model pricing source). Marked as experimental: true since both are in Public Preview.
Summary
Two Databricks Foundation Model API pay-per-token Qwen models are missing from
packages/proxy/schema/model_list.json. This is a follow-up to #559, #585, #591, #592, #638, #639, and #640, continuing to address the Databricks catalog gap.Missing Model IDs
databricks-qwen35-122b-a10bdatabricks-qwen3-next-80b-a3b-instructDetails
Both models are currently in Public Preview on Databricks. They represent the Qwen model family on the Databricks platform. The
databricks-qwen35-122b-a10bhas a documented 256K context window with 8K max output, whiledatabricks-qwen3-next-80b-a3b-instructdoes not have published context/output limits.Suggested entries
Pricing omitted per Databricks provider constraints (no stable public per-model pricing source). Marked as
experimental: truesince both are in Public Preview.Verification checklist
model_list.jsondatabricks-<model>naming conventiondatabricks-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, or [BOT ISSUE] Databricks: add missingdatabricks-claude-haiku-4-5,databricks-claude-opus-4-5,databricks-claude-opus-4-1#640Verification notes
format: "openai",flavor: "chat"input_cost_per_mil_tokens/output_cost_per_mil_tokensLocal files inspected
packages/proxy/schema/model_list.json— grep fordatabricks-qwenreturns no matchesSource URLs
{ "kind": "missing_model", "provider": "databricks", "models": ["databricks-qwen35-122b-a10b", "databricks-qwen3-next-80b-a3b-instruct"], "status": "active", "model_specs": { "databricks-qwen35-122b-a10b": { "format": "openai", "flavor": "chat", "displayName": "Qwen 3.5 122B-A10B", "experimental": true, "max_input_tokens": 256000, "max_output_tokens": 8000, "available_providers": ["databricks"] }, "databricks-qwen3-next-80b-a3b-instruct": { "format": "openai", "flavor": "chat", "displayName": "Qwen 3-Next 80B-A3B Instruct", "experimental": true, "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" ] }