Qwen: Qwen3.7 Max
Analysis Summary
Qwen3.7 Max is a Qwen model with a 1M-token context window, function calling, and strong measured coding and instruction-following results. Its long context supports substantial documents or codebases, while its pricing is lower than premium flagship offerings. The available data lists text input and output, without vision support.
It is a good candidate for coding assistance, structured content, SEO production, and document-heavy work where precise prompt adherence matters. Its coding results are stronger than its overall reasoning index, and its agentic result is more modest, so it is better suited to well-scoped tool calls than to highly autonomous workflows. For tasks involving images, teams will need a separate model.
Consider Qwen3.7 Max as a capable value-tier model for recurring content and coding workloads. Validate complex reasoning and agent behavior on representative tasks before assigning it high-stakes decisions.
Assessed September 23, 2026
Editorial notes
Qwen3.7 Max pairs strong coding and instruction-following results with a 1M-token context, tool support, and competitive pricing; its overall reasoning index is below leading flagship models.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.7 Max pairs strong coding and instruction-following results with a 1M-token context, tool support, and competitive pricing; its overall reasoning index is below leading flagship models.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How Qwen: Qwen3.7 Max compares
Qwen: Qwen3.7 Max ranks #50 of 435 AI models we track for overall intelligence, #32 of 198 for coding, #63 of 181 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $1.48 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.48 | $0.001475 |
| Output | $4.43 | $0.004425 |
What would Qwen: Qwen3.7 Max cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout Qwen: Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,..
Frequently asked questions about Qwen: Qwen3.7 Max
How much does Qwen: Qwen3.7 Max cost?
Qwen: Qwen3.7 Max costs $1.48 per million input tokens and $4.43 per million output tokens.
What is the context window of Qwen: Qwen3.7 Max?
Qwen: Qwen3.7 Max has a context window of 1,000,000 tokens (1M).
Is Qwen: Qwen3.7 Max good for coding?
On our coding benchmark index, Qwen: Qwen3.7 Max ranks #32 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.7 Max do?
Qwen: Qwen3.7 Max supports tool use and function calling.
Who created Qwen: Qwen3.7 Max?
Qwen: Qwen3.7 Max is developed by Qwen and was released on May 21, 2026.