Qwen3 30B A3B Instruct 2507 vs Qwen3.5 397B A17B
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 Qwen3.5 397B A17B.
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...
Qwen3.5 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. It delivers...
Technical Specifications
| Specification | Qwen3 30B A3B Instruct 2507 | Qwen3.5 397B A17B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 131,072 tokens | 256,000 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 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3 30B A3B Instruct 2507
$0.05
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
Qwen3 30B A3B Instruct 2507
$0.19
Qwen3.5 397B A17B
$2.45
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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.
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.