Qwen3 235B A22B Instruct 2507on Krater.ai
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.
Released July 21, 2025
Specifications
Qwen3 235B A22B Instruct 2507 at a glance
Context
262.1K tokens
Max output
16.4K tokens
Input
Text
Output
Text
Input price
$0.09 / 1M
Output price
$0.55 / 1M
Knowledge cutoff
2025-06-30
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.
Design Arena dataviz rank
#88
Design Arena 3d rank
#92
Compare
Compare Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 vs Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models.
Open comparisonQwen3 235B A22B Instruct 2507 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 235B A22B Instruct 2507 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 comparisonFAQ
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