Qwen3 30B A3B Instruct 2507 vs Qwen3 32B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen3 30B A3B Instruct 2507 and Qwen3 32B.
Qwen3 30B A3B Instruct 2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | Qwen3 30B A3B Instruct 2507 | Qwen3 32B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-07-29 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3 30B A3B Instruct 2507
$0.05
Qwen3 32B
$0.08
Output Price per Million Tokens
Qwen3 30B A3B Instruct 2507
$0.19
Qwen3 32B
$0.28
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Qwen3 30B A3B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.
Qwen3 32B Quirks & Gotchas
No developer gotchas reported.