Text model
databricks-gemini-2-5-flash pricing
Databricks charges $0.30 per million input tokens and $2.50 per million output tokens for databricks-gemini-2-5-flash, and $0.03 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.30/ 1M
- Output
- $2.50/ 1M
- Cached input
- $0.03/ 1M
- Context
- 1Mtokens
Retired 2026-10-02. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.30 | $2.50 | $0.03 | $0.30 |
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 | $0.00145 | 100,000 | $145.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00197 | 100,000 | $197.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00344 | 250,000 | $860.02 |
| 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-2-5-flash, 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-gemini-3-1-flash-lite | $0.00122 | 16% |
| databricks/databricks-qwen35-122b-a10b | $0.00121 | 17% |
| bedrock/qwen.qwen3-coder-next | $0.00123 | 15% |
| novita/xiaomimimo/mimo-v2.5-pro | $0.0012 | 17% |
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.