Qwen: Qwen3.7 Plus API Pricing
Qwen: Qwen3.7 Plus costs $0.320 per 1M input tokens and $1.28 per 1M output tokens (cache reads: $0.064). Context window: 1M. Prices verified 2026-10-21 · source
Alternatives to consider
85% cheaper with nearly identical quality (41.8 vs 39)
+13 quality points for 18% more
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.
Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.320 | — |
| Cache read | $0.064 | −80% |
| Cache write (5m) | $0.400 | +25% |
| Output | $1.28 | — |
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 Plus cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $7.68 |
| Coding agent | 5,000 | 8,000 / 2,000 | $25.60 |
| RAG pipeline | 30,000 | 4,000 / 500 | $57.60 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $15.36 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Qwen: Qwen3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Compare Qwen: Qwen3.7 Plus with
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Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Qwen: Qwen3.7 Plus cost?
Qwen: Qwen3.7 Plus costs $0.320 per 1M input tokens and $1.28 per 1M output tokens; cached input tokens cost $0.064 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
1M tokens, with up to 131K output tokens per response. That's roughly 1250 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.064/1M, about 80% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 95% on a typical workload with comparable quality.
Official resources
- Qwen: Qwen3.7 Plus on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis benchmarks → — independent intelligence and performance analysis.
- Qwen GitHub → — official model repositories and release notes.
- Shred your current bill — paste a CSV and see if switching saves money.