[BOT ISSUE] Databricks: add missing `databricks-qwen35-122b-a10b`, `databricks-qwen3-next-80b-a3b-instruct`

[github-actions]

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

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.

Suggested entries

"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"]
}

Pricing omitted per Databricks provider constraints (no stable public per-model pricing source). Marked as experimental: true since both are in Public Preview.

Verification checklist

• Cross-source: Model IDs confirmed on Foundation model overview and Supported models page
• Recent commits: Not covered by any recent commit to model_list.json
• ID format: Follows existing databricks-<model> naming convention
• Existing issues: Not covered by [BOT ISSUE] Databricks: add missing databricks-claude-opus-4-7, databricks-claude-sonnet-4-6, databricks-gpt-5-5 #559, [BOT ISSUE] Databricks: add missing databricks-gpt-5-5-pro, databricks-gemini-3-5-flash, databricks-gpt-5-4-mini #585, [BOT ISSUE] Databricks: add missing databricks-llama-4-maverick, databricks-gpt-oss-120b, databricks-gemma-3-12b #591, [BOT ISSUE] Databricks: add missing databricks-claude-sonnet-4-5, databricks-claude-opus-4-6, databricks-claude-sonnet-4 #592, [BOT ISSUE] Databricks: add missing databricks-gpt-5-4, databricks-gpt-5-4-nano, databricks-gpt-5-2 #638, [BOT ISSUE] Databricks: add missing databricks-gemini-3-1-pro, databricks-gemini-2-5-pro, databricks-gemini-2-5-flash #639, or [BOT ISSUE] Databricks: add missing databricks-claude-haiku-4-5, databricks-claude-opus-4-5, databricks-claude-opus-4-1 #640

Verification notes

Field	Source	Notes
Model IDs	Foundation model overview + Supported models page	Listed in both pay-per-token model tables
Context window (256K for qwen35)	Supported models page	"256K token context window"
Max output (8K for qwen35)	Supported models page	"8K max output tokens"
Public Preview status	Supported models page	Both listed as "Public Preview"
format: "openai", flavor: "chat"	Catalog convention	All Databricks models use openai format
input_cost_per_mil_tokens / output_cost_per_mil_tokens	NOT PUBLISHED	Databricks does not publish stable per-model pricing

Local files inspected

• packages/proxy/schema/model_list.json — grep for databricks-qwen returns no matches

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

{
  "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"
  ]
}

[github-actions]

Prepared catalog updates for databricks-qwen35-122b-a10b, databricks-qwen3-next-80b-a3b-instruct. Added models: databricks-qwen35-122b-a10b, databricks-qwen3-next-80b-a3b-instruct.

Verification sources: 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, https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct, https://huggingface.co/Qwen/Qwen3.5-122B-A10B, https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models**, https://docs.databricks.com/aws/en/machine-learning/model-serving/foundation-model-overview**, https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct**, https://huggingface.co/Qwen/Qwen3.5-122B-A10B**
Verified metadata applied:

• databricks-qwen35-122b-a10b: format=openai, flavor=chat, displayName=Qwen 3.5 122B-A10B, max_input_tokens=256000, max_output_tokens=8000, pricing=not provided, providers=databricks, reasoning=true
• databricks-qwen3-next-80b-a3b-instruct: format=openai, flavor=chat, displayName=Qwen 3-Next 80B-A3B Instruct, max_input_tokens=262144, max_output_tokens=16384, pricing=not provided, providers=databricks

Opened #654 to apply the catalog update.