Qwen3.8 27Bon Krater.ai
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
Released August 14, 2026
Specifications
Qwen3.8 27B at a glance
Context
1M tokens
Max output
131.1K tokens
Input
Text, Image, Video
Output
Text
Input price
$0.40 / 1M
Output price
$3.00 / 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
68.1
Agentic index score
50.9
Intelligence index score
52
Compare
Compare Qwen3.8 27B
Qwen3.8 27B 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 comparisonQwen3.8 27B 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 comparisonQwen3.8 27B vs Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B 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 comparisonFAQ
Questions about Qwen3.8 27B
Clear answers based on the model catalog and Krater access.
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