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
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-minianddatabricks-gemini-3-6-flash.Gap
Both base models exist in the catalog (
gpt-5.4-miniandgemini-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
databricks-gpt-5-4-minigpt-5.4-minimodel_list.json(line 172)databricks-gpt-5-4-nanoand Azure docsdatabricks-gemini-3-6-flash
databricks-gemini-3-6-flashgemini-3.6-flashmodel_list.json(line 11122)databricks-gemini-3-5-flashCross-source verification
gpt-5.4-miniconfirmed on OpenAI docs and OpenAI pricinggemini-3.6-flashconfirmed on Google AI docs and Google pricingmodel_list.json(grep confirmed zero matches for both IDs)databricks-gpt-5-4-nano,databricks-gemini-3-5-flash)Notes
format: "openai"(not the base model's native format) since Databricks exposes an OpenAI-compatible APIreasoningis included fordatabricks-gemini-3-6-flashfor consistency with the existingdatabricks-gemini-3-5-flashentry