Text model
google/gemma-3-4b-it pricing
DeepInfra charges $0.05 per million input tokens and $0.10 per million output tokens for google/gemma-3-4b-it. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.05/ 1M
- Output
- $0.10/ 1M
- Context
- 131.1Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.05 | $0.10 | — | — |
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 | $0.000115 | 100,000 | $11.50 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00035 | 100,000 | $35.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00068 | 250,000 | $170.00 |
| 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 google/gemma-3-4b-it, 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 |
|---|---|---|
| deepinfra/meta-llama/Llama-3.2-11B-Vision-Instruct | $0.0000931 | 19% |
| deepinfra/google/gemma-4-E4B-it | $0.00007 | 39% |
| cloudflare/@cf/ibm-granite/granite-4.0-h-micro | $0.0000703 | 39% |
| novita/qwen/qwen3-4b-fp8 | $0.000057 | 50% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: DeepInfra pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.