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Qwen: Qwen3.7 Plus (batch) API Pricing

Qwen: Qwen3.7 Plus (batch) costs $0.230 per 1M input tokens and $0.920 per 1M output tokens. Context window: 262K. Prices verified 2026-10-21 · source

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Alternatives to consider

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⬆️ Upgrade smart
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Qwen: Qwen3.7 Flash
$0.030 in / $0.130 out

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Price history
2026-10-17 → 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.

Intelligence & capability
via Artificial Analysis
25.2
Intelligence index · top 40% of 288 scored
55.9
Coding index
17.5
Agentic index
$0.4025
Blended $/1M (3:1 in:out)

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.

Input / 1M tokens
$0.230
Output / 1M tokens
$0.920
Context window
262K
Max output
131K
Reasoning behavior
Mode: On by default (toggleable)

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

What would Qwen: Qwen3.7 Plus (batch) cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$5.52
Coding agent5,0008,000 / 2,000$18.40
RAG pipeline30,0004,000 / 500$41.40
Doc summarizer2,00020,000 / 1,000$11.04

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

About Qwen: Qwen3.7 Plus (batch)

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 (batch) with

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

Frequently asked questions

How much does Qwen: Qwen3.7 Plus (batch) cost?

Qwen: Qwen3.7 Plus (batch) costs $0.230 per 1M input tokens and $0.920 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 131K output tokens per response. That's roughly 328 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?

ScaleDown: Summarize saves about 93% on a typical workload with comparable quality.

Official resources