Qwen: Qwen3.7 Plus
Analysis Summary
Qwen: Qwen3.7 Plus is developed by Qwen. Released in June 2026, it is one of the newest models we cover. For raw reasoning ability it ranks #11 of 374, putting it in among the very best models we track for overall intelligence.
For engineering teams, Qwen: Qwen3.7 Plus is a standout coder, ranking #17 of 311 on our coding index for code generation, refactoring, and debugging. It also ranks #10 of 286 for agentic, multi-step tasks ā the autonomous, tool-driven workflows that underpin business automation. Its 1M-token context window is larger than 91% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Qwen: Qwen3.7 Plus combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.400 input and $1.60 output per 1M tokens, Qwen: Qwen3.7 Plus is cost-efficient for everyday workloads so it scales comfortably across routine production traffic. Qwen: Qwen3.7 Plus is worth evaluating where Qwenās ecosystem and the modelās specific capabilities fit your workflow.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
How Qwen: Qwen3.7 Plus compares
Qwen: Qwen3.7 Plus ranks #11 of 374 AI models we track for overall intelligence, #17 of 311 for coding, #10 of 286 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 38% 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 similar 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.
External Resources
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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 #17 of 311 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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 5, 2026 8:38 pm