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AI123AI ModelsqwenQwen3.6 35B A3B
Qwen3.6 35B A3B

Qwen3.6 35B A3B

qwen

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated DeltaNet linear attention with standard gated attention layers, enabling efficient inference at a fraction of the compute cost. The model supports a 262K token native context window (extensible to 1M via YaRN) and accepts text, image, and video inputs. It includes integrated thinking mode with reasoning traces preserved across multi-turn conversations, function calling, and structured output. Released under the Apache 2.0 license.

Modalities
TT
Input / output price
$0.1/$0.9per 1M tokens
Context
262K
Released
2026-04-27
PricingArtificial AnalysisRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$0.10/ 1M tokens$0.90/ 1M tokens$0.02/ 1M tokens

Artificial Analysis

Explore rankings
18.2

Intelligence index

Outperforms 50% of compared models

41.9

Coding index

Outperforms 40% of compared models

13.1

Agentic index

Outperforms 41% of compared models

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
1.0M
Max output
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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
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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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