Qwen3.6 35B A3Bon Krater.ai
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
Released April 27, 2026
Specifications
Qwen3.6 35B A3B at a glance
Context
262.1K tokens
Max output
262.1K tokens
Input
Text, Image, Video
Output
Text
Input price
$0.14 / 1M
Output price
$1.00 / 1M
Capabilities
What it is good at
Catalog capabilities
- Accepts image input
- Generates text responses
- Supports tool calling
- Supports structured outputs
Good for
Benchmarks
Catalog data, not Krater benchmarks.
Coding index score
41.9
Agentic index score
21.6
Intelligence index score
32.1
Compare
Compare Qwen3.6 35B A3B
Qwen3.6 35B A3B vs Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
Open comparisonQwen3.6 35B A3B vs Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.
Open comparisonQwen3.6 35B A3B vs Qwen3.5 35B A3B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency.
Open comparisonFAQ
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