Intelligence index
Outperforms 68% of compared models
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 vision-language abilities while retaining full-stack, agent-level intelligence for coding, tool use, and productivity workflows. Its distinguishing trait is multi-modal interactive hybrid agent capability: it can perceive real-world scenes, read screens and interact with GUIs, generate code from visual references, and perform end-to-end navigation within mobile apps.
- Input / output price
- $0.32/$1.28per 1M tokens
- Context
- 1.0M
- Released
- 2026-06-03
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 63% of compared models
Agentic index
Outperforms 49% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
1280Elo
Win rate 51.4%
SVG
1204Elo
Win rate 46.7%
Website
1267Elo
Win rate 50.4%
Code Categories
1267Elo
Win rate 50.1%
Game Development
1260Elo
Win rate 49.2%
UI Component
1257Elo
Win rate 48.8%
3D
1236Elo
Win rate 48.4%
Asciiart
1140Elo
Win rate 41.3%
Related Models
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qwenQwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text, with a 1M-token context window and reasoning enabled by default. This snapshot is post-trained for coding and agentic work, including multi-step software projects, multi-tool orchestration, and long-horizon task execution. It also targets chart reasoning, document parsing, and multimodal understanding over long documents and extended video. Tool calling, structured outputs, and configurable reasoning effort are supported.
- Context
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- Max output
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- Released
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- Input
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- Output
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- Cache read
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Qwen3.8 2.4T A95B
qwenQwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.
- Context
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- Max output
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- Released
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- Input
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- Output
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- Cache read
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Qwen3.8 27B
qwenQwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.
- Context
- 1.0M
- Max output
- 65.5K
- Released
- 2026-08-14
- Input
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- Output
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- Cache read
- $0.0039/M