Intelligence index
Outperforms 26% of compared models
Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and code tasks, and a "non-thinking" mode for general conversational efficiency. The model demonstrates strong reasoning ability, multilingual support (100+ languages and dialects), advanced instruction-following, and agent tool-calling capabilities. It natively handles a 32K token context window and extends up to 131K tokens using YaRN-based scaling.
- Input / output price
- $0.455/$1.82per 1M tokens
- Context
- 131K
- 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
999Elo
Win rate 40%
UI Component
962Elo
Win rate 38.6%
3D
864Elo
Win rate 24.5%
Code Categories
1006Elo
Win rate 38.2%
Website
1035Elo
Win rate 40.4%
Game Development
935Elo
Win rate 32.9%
Related Models
Qwen3.8 Max (0902)
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
- 1.0M
- Max output
- 131.1K
- Released
- 2026-09-03
- Input
- $2/M
- Output
- $6/M
- Cache read
- $0.25/M
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
- 1.0M
- Max output
- 909K
- Released
- 2026-08-12
- Input
- $2/M
- Output
- $6/M
- Cache read
- $0.25/M
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
- $0.039/M
- Output
- $1.25/M
- Cache read
- $0.0039/M