Mistral Medium 3.5 vs Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B.
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...
Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B 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. In terms of...
Technical Specifications
| Specification | Mistral Medium 3.5 | Qwen3.5-122B-A10B |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 262,144 tokens | 262,144 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 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Medium 3.5
$1.50
Qwen3.5-122B-A10B
$0.26
Output Price per Million Tokens
Mistral Medium 3.5
$7.50
Qwen3.5-122B-A10B
$2.08
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.
Qwen3.5-122B-A10B Quirks & Gotchas
No developer gotchas reported.