Text model
gemini-omni-flash-preview pricing
Google Gemini charges $1.50 per million input tokens and $9.00 per million output tokens for gemini-omni-flash-preview, with audio at $1.50 in and — out. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $1.50/ 1M
- Output
- $9.00/ 1M
- Audio input
- $1.50/ 1M
- Context
- 131.1Ktokens
Retired 2026-10-22. Move to gemini-omni-1.1-flash. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $1.50 | $9.00 | — | — |
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 | $0.00585 | 100,000 | $585.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.01 | 100,000 | $1,350.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.03 | 250,000 | $6,300.00 |
| 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 gemini-omni-flash-preview, 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 |
|---|---|---|
| google/gemini-robotics-er-2-preview | $0.0035 | 40% |
| google/gemini-robotics-er-2-streaming-preview | $0.0035 | 40% |
| azure-ai/FW-GLM-5.3 | $0.00483 | 18% |
| bedrock/zai.glm-5.3 | $0.00463 | 21% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: Google Gemini pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.