Mistral Medium 3.5 vs Qwen2.5 7B Instruct
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 Qwen2.5 7B Instruct.
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...
Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Technical Specifications
| Specification | Mistral Medium 3.5 | Qwen2.5 7B Instruct |
|---|---|---|
| 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 | 2024-10-16 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Medium 3.5
$1.50
Qwen2.5 7B Instruct
$0.04
Output Price per Million Tokens
Mistral Medium 3.5
$7.50
Qwen2.5 7B Instruct
$0.10
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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.
Mistral Medium 3.5 Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 7B Instruct Quirks & Gotchas
No developer gotchas reported.