Qwen3.5 397B-A17B API Pricing
Alibaba · released Feb 15, 2026 · 262K context · API model ID qwen3.5-397b-a17b
Qwen3.5 397B-A17B by Alibaba API pricing: $0.60 per 1M input tokens and $3.60 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).
Prices
| Price | USD per 1M tokens |
|---|---|
| Input | $0.60 |
| Output | $3.60 |
| Cache read | Not published |
| Cache write | Not published |
Alibaba's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation
Estimated monthly cost
$720.00
per month
- per day
- $24.00
- per request
- $0.0024
Cannot estimate: a needed price is not published.
Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.
Monthly cost by workload
| Workload | Per month |
|---|---|
| Chatbot1,000 in / 500 out tokens, 10,000 requests a day | $720.00/mo |
| RAG8,000 in / 500 out tokens, 5,000 requests a day | $990.00/mo |
| Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input | $1,116/mo |
Context and capabilities
- Context
- 262,144 tokens
- Max output
- 65,536 tokens
- Input
- text, image, video, audio
- Output
- text
- Knowledge cutoff
- Not published
- Open weights
- Yes
- Tool calling
- Yes
- Reasoning
- Yes
- Structured outputs
- Yes
Capabilities and limits as listed by models.dev.
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Price history
No price changes since we started tracking on Oct 8, 2026.
Questions
- How much does Qwen3.5 397B-A17B cost per month?
- For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Qwen3.5 397B-A17B costs about $720.00 per month at Alibaba's list prices ($0.60 per 1M input tokens, $3.60 per 1M output tokens).
- Does Qwen3.5 397B-A17B support prompt caching?
- No cache read price is published for Qwen3.5 397B-A17B.
- How long is Qwen3.5 397B-A17B's context window?
- Qwen3.5 397B-A17B accepts up to 262,144 tokens (262K) of context and returns up to 65,536 tokens per response.