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Qwen: Qwen3.5-Flash API Pricing

Qwen: Qwen3.5-Flash costs $0.065 per 1M input tokens and $0.260 per 1M output tokens. Context window: 1M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Qwen: Qwen3.7 Flash
$0.030 in / $0.130 out

Cheapest qwen model — 52% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.065
Output / 1M tokens
$0.260
Context window
1M
Max output
66K
Reasoning behavior
Mode: Off by default (opt-in)

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Qwen: Qwen3.5-Flash cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.56
Coding agent5,0008,000 / 2,000$5.20
RAG pipeline30,0004,000 / 500$11.70
Doc summarizer2,00020,000 / 1,000$3.12

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Qwen: Qwen3.5-Flash

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 Qwen: Qwen3.5-Flash with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Qwen: Qwen3.5-Flash cost?

Qwen: Qwen3.5-Flash costs $0.065 per 1M input tokens and $0.260 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

1M tokens, with up to 66K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

Mistral: Mistral Nemo saves about 76% on a typical workload with comparable quality.

Official resources