Text model
qwen/qwen3-235b-a22b-instruct-2507 pricing
Novita AI charges $0.09 per million input tokens and $0.58 per million output tokens for qwen/qwen3-235b-a22b-instruct-2507. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.09/ 1M
- Output
- $0.58/ 1M
- Context
- 131.1Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.09 | $0.58 | — | — |
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 | $0.000367 | 100,000 | $36.70 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00083 | 100,000 | $83.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00154 | 250,000 | $386.00 |
| 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 qwen/qwen3-235b-a22b-instruct-2507, 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 |
|---|---|---|
| novita/xiaomimimo/mimo-v2-flash | $0.000297 | 19% |
| novita/zai-org/glm-4.7-flash | $0.000265 | 28% |
| deepinfra/ByteDance/Seed-2.0-mini | $0.00031 | 16% |
| deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5 | $0.00031 | 16% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: Novita AI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.