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AI123AI ModelsqwenQwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507

Qwen3 30B A3B Thinking 2507

qwen

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated from final answers.

Compared to earlier Qwen3-30B releases, this version improves performance across logical reasoning, mathematics, science, coding, and multilingual benchmarks. It also demonstrates stronger instruction following, tool use, and alignment with human preferences. With higher reasoning efficiency and extended output budgets, it is best suited for advanced research, competitive problem solving, and agentic applications requiring structured long-context reasoning.

Modalities
TT
Input / output price
$0.2/$2.4per 1M tokens
Context
82K
Released
2025-08-28
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutput
$0.20/ 1M tokens$2.40/ 1M tokens

Artificial Analysis

Explore rankings
9.8

Intelligence index

Outperforms 27% of compared models

12.1

Coding index

Outperforms 11% of compared models

0.9

Agentic index

Outperforms 13% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Model Arena

Data Visualization

928Elo

Win rate 33.3%

Website

935Elo

Win rate 35.5%

How Design Arena works

Related Models

Qwen3.8 Max (0902)

Qwen3.8 Max (0902)

qwen

Qwen3.8 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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Input
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Output
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Cache read
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Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B

qwen

Qwen3.8 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
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Input
$2/M
Output
$6/M
Cache read
$0.25/M
Qwen3.8 27B

Qwen3.8 27B

qwen

Qwen3.8 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
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