Qwen: Qwen3.7 Max
Analysis Summary
Qwen3.7 Max from Qwen sits at an intelligence index of 56.6, placing it in the top five models in the current landscape. Its coding index of 50.1 and agentic index of 72.7 are both world-class, and tool use and function calling are fully supported. The 1M token context window enables large-scale document and codebase reasoning. Instruction following (ifbench 0.81) and terminal benchmark performance (terminalbench 0.51) are both strong.
For businesses, Qwen3.7 Max is a strong fit for autonomous coding agents, complex reasoning pipelines, and long-context analysis. Its tau2 score of 0.947 indicates high reliability in structured agentic task completion. The absence of vision support is a limitation compared to some competitors, but for text-only workflows it is among the most capable models available.
At $1.25 input and $3.75 output per million tokens, it is priced competitively for its capability tier. Teams running demanding agentic or coding workloads who can work within a text-only modality will find this model a strong value proposition against more expensive alternatives.
Assessed June 6, 2026
Editorial notes
Qwen3.7 Max delivers near-frontier reasoning and coding with a 72.7 agentic index, 1M token context, and strong instruction following at $1.25 per million input tokens.
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 #8 of 378 AI models we track for overall intelligence, #11 of 315 for coding, #7 of 289 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 21% 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 #11 of 315 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.
