Qwen: Qwen3.7 Flash API Pricing
Qwen: Qwen3.7 Flash costs $0.030 per 1M input tokens and $0.130 per 1M output tokens (cache reads: $0.0060). Context window: 1M. Prices verified 2026-10-21 · source
⚠️ Long-context price tier applies
The headline price only applies below the first threshold. Past it, you pay more per token:
See all thresholds on the long-context tiers page.
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.030 | — |
| Cache read | $0.0060 | −80% |
| Cache write (5m) | $0.038 | +27% |
| Output | $0.130 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would Qwen: Qwen3.7 Flash cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $0.76 |
| Coding agent | 5,000 | 8,000 / 2,000 | $2.50 |
| RAG pipeline | 30,000 | 4,000 / 500 | $5.55 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $1.46 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Qwen: Qwen3.7 Flash
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
Compare Qwen: Qwen3.7 Flash with
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- Qwen3.7 Flash vs OpenAI: GPT-5.6 Sol
Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Qwen: Qwen3.7 Flash cost?
Qwen: Qwen3.7 Flash costs $0.030 per 1M input tokens and $0.130 per 1M output tokens; cached input tokens cost $0.0060 per 1M. 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?
Yes — cached input is $0.0060/1M, about 80% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
Check the value chart for models with similar intelligence at lower cost.
Official resources
- Qwen: Qwen3.7 Flash on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Qwen GitHub → — official model repositories and release notes.
- Shred your current bill — paste a CSV and see if switching saves money.