Qwen3 30B A3B Instruct 2507on Krater.ai
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
Released July 29, 2025
Specifications
Qwen3 30B A3B Instruct 2507 at a glance
Context
262.1K tokens
Max output
32K tokens
Input
Text
Output
Text
Input price
$0.05 / 1M
Output price
$0.19 / 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
Compare
Compare Qwen3 30B A3B Instruct 2507
Qwen3 30B A3B Instruct 2507 vs Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models.
Open comparisonQwen3 30B A3B 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 30B A3B 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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