Qwen3 30B A3B Instruct 2507 vs Qwen3.5 Plus 2026-02-15
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 Plus 2026-02-15.
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 Plus 2026-02-15
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Technical Specifications
| Specification | Qwen3 30B A3B Instruct 2507 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 131,072 tokens | 1,000,000 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 | beta |
| 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 Plus 2026-02-15
$0.26
Output Price per Million Tokens
Qwen3 30B A3B Instruct 2507
$0.19
Qwen3.5 Plus 2026-02-15
$1.56
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 Plus 2026-02-15 Quirks & Gotchas
No developer gotchas reported.