Qwen: Qwen3.7 Plus
Analysis Summary
Qwen3.7 Plus from Qwen sits at an intelligence index of 53.3, placing it in the top tier of the current model landscape and directly competitive with models like Claude Opus 4.6. Its coding index of 46.5 and agentic index of 70.0 are both strong, and the combination of tool use, function calling, and vision support makes it a versatile choice for complex business workflows. The 1M token context window enables full-codebase or long-document reasoning in a single pass.
For businesses, this model suits software engineering agents, long-document analysis, multimodal content workflows, and autonomous task pipelines. Instruction following is good (ifbench 0.78) and long-context reasoning (lcr 0.65) is adequate for most enterprise document tasks. The main consideration is that it is a Qwen-family model, which some enterprise procurement teams may need to evaluate for compliance and data residency requirements.
At $0.40 input and $1.60 output per million tokens, the price-performance ratio is exceptional for a model at this intelligence level. Teams seeking frontier-class capability at mid-tier pricing should prioritise this model, particularly for agentic and coding-heavy workloads.
Assessed June 6, 2026
Editorial notes
Qwen3.7 Plus delivers top-tier reasoning, strong coding and agentic performance, vision support, and a 1M token context window at just $0.40 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 Plus compares
Qwen: Qwen3.7 Plus ranks #11 of 377 AI models we track for overall intelligence, #18 of 314 for coding, #10 of 289 for agentic tasks. Its 1M-token context window is larger than 91% of the models we list. At $0.40 per million input tokens it is cheaper than 39% of comparable models.
About Qwen: Qwen3.7 Plus
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..
Capabilities
Performance Indices
Source: Artificial Analysis
This model was released recently. Independent benchmark evaluations are typically completed within days of release, so these figures are preliminary and are likely to be updated as testing is finalised.
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3.7 Plus stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3.7-plus
|
| Provider | qwen |
| Release Date | June 3, 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 | $0.40 | $0.000400 |
| Output | $1.60 | $0.001600 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3.7 Plus
How much does Qwen: Qwen3.7 Plus cost?
Qwen: Qwen3.7 Plus costs $0.40 per million input tokens and $1.60 per million output tokens.
What is the context window of Qwen: Qwen3.7 Plus?
Qwen: Qwen3.7 Plus has a context window of 1,000,000 tokens (1M).
Is Qwen: Qwen3.7 Plus good for coding?
On our coding benchmark index, Qwen: Qwen3.7 Plus ranks #18 of 314 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.7 Plus do?
Qwen: Qwen3.7 Plus supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3.7 Plus?
Qwen: Qwen3.7 Plus is developed by Qwen and was released on June 3, 2026.
