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[BOT ISSUE] Add databricks-gpt-5-4-mini and databricks-gemini-3-6-flash (Databricks) #1092

Description

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Summary

Two models listed on the Databricks Foundation Model APIs docs for pay-per-token serverless inference are missing from the model catalog: databricks-gpt-5-4-mini and databricks-gemini-3-6-flash.

Gap

Both base models exist in the catalog (gpt-5.4-mini and gemini-3.6-flash), but the Databricks-specific endpoint names do not. Other models in the same series already have Databricks variants (e.g., databricks-gpt-5-4, databricks-gpt-5-4-nano, databricks-gemini-3-5-flash).

Source verification

databricks-gpt-5-4-mini

Field Value Source
Model ID databricks-gpt-5-4-mini Databricks Foundation Model docs
Base model gpt-5.4-mini Already in model_list.json (line 172)
Context window 272,000 input / 128,000 output Consistent with databricks-gpt-5-4-nano and Azure docs
Pricing Not published per-model by Databricks Skipped per provider constraint

databricks-gemini-3-6-flash

Field Value Source
Model ID databricks-gemini-3-6-flash Databricks Foundation Model docs
Base model gemini-3.6-flash Already in model_list.json (line 11122)
Context window 1,048,576 input / 65,536 output Consistent with databricks-gemini-3-5-flash
Pricing Not published per-model by Databricks Skipped per provider constraint

Cross-source verification

  • Both models confirmed on Databricks official documentation as available for pay-per-token serverless inference
  • Base model gpt-5.4-mini confirmed on OpenAI docs and OpenAI pricing
  • Base model gemini-3.6-flash confirmed on Google AI docs and Google pricing
  • Not present in model_list.json (grep confirmed zero matches for both IDs)
  • No existing GitHub issue covers these Databricks endpoints
  • Specs derived from existing Databricks entries in the same model families (databricks-gpt-5-4-nano, databricks-gemini-3-5-flash)

Notes

  • Databricks does not publish stable per-model pricing — pricing fields are omitted per provider constraint
  • Databricks entries use format: "openai" (not the base model's native format) since Databricks exposes an OpenAI-compatible API
  • reasoning is included for databricks-gemini-3-6-flash for consistency with the existing databricks-gemini-3-5-flash entry

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