Qwen3.5-Flash
by Alibaba (Qwen) · qwen/qwen3.5-flash-02-23 · #32 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:33 AM UTC · refreshed hourly
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.065
per 1M tokens
Output
$0.26
per 1M tokens
Blended (3:1)
$0.114
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3.5-Flash (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.114 | $0.00689 | — |
| 50% | $0.114 | $0.00689 | −0% |
| 90% | $0.114 | $0.00689 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000111 | $0.1105 |
| Document summary | 8,000 | 1,000 | $0.00078 | $0.78 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00247 | $2.47 |
| Long-context analysis | 150,000 | 5,000 | $0.0111 | $11.05 |
Specs
Context window
1M
tokens
Max output
66K
tokens
Input modalities
text, image, video
Tokenizer
Qwen3