Qwen3.8 2.4T A95B (batch)on Krater.ai
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
Released August 12, 2026
Specifications
Qwen3.8 2.4T A95B (batch) at a glance
Context
1M tokens
Max output
909K tokens
Input
Text
Output
Text
Input price
$2.00 / 1M
Output price
$6.00 / 1M
Capabilities
What it is good at
Catalog capabilities
- Generates text responses
- Supports tool calling
- Supports structured outputs
Good for
Benchmarks
Catalog data, not Krater benchmarks.
Coding index score
71.9
Agentic index score
50.7
Intelligence index score
46.7
Compare
Compare Qwen3.8 2.4T A95B (batch)
Qwen3.8 2.4T A95B (batch) vs Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
Open comparisonQwen3.8 2.4T A95B (batch) vs Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass.
Open comparisonQwen3.8 2.4T A95B (batch) vs Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.
Open comparisonFAQ
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