Intelligence index
Outperforms 17% of compared models
Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.
Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.
- Input / output price
- $0.12/$0.5per 1M tokens
- Context
- 41K
- Released
- 2025-04-28
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Data Visualization
967Elo
Win rate 39%
UI Component
940Elo
Win rate 42.4%
Code Categories
940Elo
Win rate 37.5%
Game Development
897Elo
Win rate 33.9%
Website
953Elo
Win rate 37.7%
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.
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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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- 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