Mistral Medium 3.5 vs Qwen3 30B A3B Instruct 2507
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 Mistral Medium 3.5 and Qwen3 30B A3B Instruct 2507.
Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
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...
Technical Specifications
| Specification | Mistral Medium 3.5 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 262,144 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 | 2026-04-30 | 2025-07-29 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Medium 3.5
$1.50
Qwen3 30B A3B Instruct 2507
$0.05
Output Price per Million Tokens
Mistral Medium 3.5
$7.50
Qwen3 30B A3B Instruct 2507
$0.19
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.
Mistral Medium 3.5 Quirks & Gotchas
No developer gotchas reported.
Qwen3 30B A3B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.