Text model
qwq-plus pricing
Alibaba Qwen charges $0.80 per million input tokens and $2.40 per million output tokens for qwq-plus. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.80/ 1M
- Output
- $2.40/ 1M
- Context
- 98.3Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.80 | $2.40 | — | — |
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 | $0.00216 | 100,000 | $216.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.006 | 100,000 | $600.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.01 | 250,000 | $2,880.00 |
| 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 qwq-plus, 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 |
|---|---|---|
| qwen/qwen3-vl-32b-thinking | $0.00139 | 36% |
| qwen/qwen3-vl-235b-a22b-instruct | $0.00124 | 43% |
| replicate/deepseek-ai/deepseek-v3.1 | $0.00181 | 16% |
| databricks/databricks-gemini-3-5-flash-lite | $0.00181 | 16% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: Alibaba Qwen pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.