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AI123AI ModelsqwenQwen3.6 Plus
Qwen3.6 Plus

Qwen3.6 Plus

qwen

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers major gains in agentic coding, front-end development, and overall reasoning, with a significantly improved “vibe coding” experience. The model excels at complex tasks such as 3D scenes, games, and repository-level problem solving, achieving a 78.8 score on SWE-bench Verified. It represents a substantial leap in both pure-text and multimodal capabilities, performing at the level of leading state-of-the-art models.

Modalities
TT
Input / output price
$0.325/$1.95per 1M tokens
Context
1.0M
Released
2026-04-02
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache write
$0.33/ 1M tokensOver 256K: $1.30 / 1M tokens$1.95/ 1M tokensOver 256K: $3.90 / 1M tokens$0.41/ 1M tokensOver 256K: $1.63 / 1M tokens

Artificial Analysis

Explore rankings
27.0

Intelligence index

Outperforms 73% of compared models

54.5

Coding index

Outperforms 61% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1199; Asciiart: 1112; Code Categories: 1234; Data Visualization: 1228; Game Development: 1210; SVG: 1159; UI Component: 1226; Website: 12413D1199 EloAsciiart1112 EloCode Categories1234 EloData Visualization1228 EloGame Development1210 EloSVG1159 EloUI Component1226 EloWebsite1241 Elo

Model Arena

SVG

1159Elo

Win rate 50.2%

Data Visualization

1228Elo

Win rate 50.7%

Code Categories

1234Elo

Win rate 50%

Website

1241Elo

Win rate 50%

3D

1199Elo

Win rate 50.5%

Game Development

1210Elo

Win rate 48.4%

UI Component

1226Elo

Win rate 50.4%

Asciiart

1112Elo

Win rate 41.1%

How Design Arena works

Related Models

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Qwen3.8 Max (0902)

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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.

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Cache read
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Qwen3.8 2.4T A95B

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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
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Max output
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Released
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Output
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Cache read
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Qwen3.8 27B

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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
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Released
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Input
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Output
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Cache read
$0.0039/M
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