Qwen: Qwen3.7 Max
Analysis Summary
Qwen3.7 Max posts strong results across coding and agentic benchmarks, backed by a 1M token context window and reliable tool use and function calling. Its instruction-following and long-context reasoning scores are competitive with leading flagships.
This profile suits software engineering support, multi-step agent workflows and long-document analysis where large context matters. Pricing sits in the mid-range, making it a viable alternative for teams wanting frontier-level coding capability without the highest-tier cost.
A strong pick for technical teams building coding assistants or autonomous agents on a budget below the very top flagships.
Assessed July 29, 2026
Editorial notes
Qwen3.7 Max delivers strong coding and agentic benchmarks with a 1M token context and solid instruction following, at a mid-range price point.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.7 Max delivers strong coding and agentic benchmarks with a 1M token context and solid instruction following, at a mid-range price point.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
46 Intelligence Index·66 Coding Index·72.7 Agentic Index
How Qwen: Qwen3.7 Max compares
Qwen: Qwen3.7 Max ranks #16 of 395 AI models we track for overall intelligence, #15 of 160 for coding, #7 of 302 for agentic tasks. Its 1M-token context window is larger than 88% of the models we list. At $1.48 per million input tokens it is cheaper than 20% 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.
Strongest on technical. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 650 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.7 Max for the hard ones. Most clients cut their estimate by 60-80%.
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,..
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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 #15 of 160 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.
