Text model
qwen3.8-flash pricing
Alibaba Qwen charges $0.15 per million input tokens and $0.47 per million output tokens for qwen3.8-flash, and $0.016 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.15/ 1M
- Output
- $0.47/ 1M
- Cached input
- $0.016/ 1M
- Context
- 991.8Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.15 | $0.47 | $0.016 | $0.20 |
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 | $0.000413 | 100,000 | $41.30 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.000599 | 100,000 | $59.90 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.0011 | 250,000 | $276.00 |
| 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 qwen3.8-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 |
|---|---|---|
| qwen/qwen-turbo | $0.000155 | 62% |
| qwen/qwen-turbo-latest | $0.000155 | 62% |
| anthropic/claude-haiku-5-5 | $0.00035 | 15% |
| azure-ai/gpt-6-luna | $0.00035 | 15% |
Price history
No price changes since Veqen started tracking this model.
Compare
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- gpt-4o-mini vs qwen3.8-flash
- gpt-4.1 vs qwen3.8-flash
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.