Text model
databricks-gemini-3-1-pro pricing
Databricks charges $2.50 per million input tokens and $15.00 per million output tokens for databricks-gemini-3-1-pro, and $0.25 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $2.50/ 1M
- Output
- $15.00/ 1M
- Cached input
- $0.25/ 1M
- Context
- 1Mtokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $2.50 | $15.00 | $0.25 | $2.50 |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.00975 | 100,000 | $975.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.01 | 100,000 | $1,349.99 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $5,999.92 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with databricks-gemini-3-1-pro, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| databricks/databricks-gpt-5-2 | $0.00822 | 16% |
| databricks/databricks-gpt-5-3-codex | $0.00822 | 16% |
| openai/gpt-5.2 | $0.00822 | 16% |
| deepinfra/google/gemini-3.1-pro | $0.0078 | 20% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: Databricks pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.