Qwen: Qwen3.7 Max
Analysis Summary
Qwen3.7 Max is Alibaba's flagship reasoning model, sitting at intelligence index 46 and placing in the top 15 globally. Its coding index of 66 and agentic index of 72.7 make it a strong candidate for software engineering workflows and multi-step autonomous tasks. The 1M token context window is a genuine advantage for long-document analysis, large codebases, and extended agent sessions.
For businesses, this model suits complex coding assistance, agentic pipelines, and structured content generation. Tool use and function calling are both supported. The main limitation is the absence of vision or image input, which restricts it to text-only workflows. Instruction-following scores are strong but not at the very top of the field.
At $1.25 input and $3.75 output per million tokens, pricing is competitive for a model at this capability tier. Teams running high-value reasoning or coding tasks will find the cost-to-performance ratio attractive, though businesses should note it is not from an major providers, which may affect enterprise procurement decisions.
Assessed June 30, 2026
Editorial notes
Qwen3.7 Max from Alibaba delivers world-class reasoning, a 66-point coding index, strong agentic performance at 72.7, and a 1M token context window with tool use and function calling support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3.7 Max compares
Qwen: Qwen3.7 Max ranks #15 of 387 AI models we track for overall intelligence, #13 of 152 for coding, #9 of 294 for agentic tasks. Its 1M-token context window is larger than 91% of the models we list. At $1.25 per million input tokens it is cheaper than 22% of comparable models.
About 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,..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.7 Max stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3.7-max
|
| Provider | qwen |
| Release Date | May 21, 2026 |
| Context Length | 1,000,000 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $3.75 | $0.003750 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3.7 Max
How much does Qwen: Qwen3.7 Max cost?
Qwen: Qwen3.7 Max costs $1.25 per million input tokens and $3.75 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 #13 of 152 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.
