Mistral Nemo vs Qwen2.5 72B 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 Nemo and Qwen2.5 72B Instruct.
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Qwen2.5 72B Instruct
Qwen2.5 72B 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 Nemo | Qwen2.5 72B Instruct |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 131,072 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 | 2024-07-19 | 2024-09-19 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Nemo
$0.02
Qwen2.5 72B Instruct
$0.36
Output Price per Million Tokens
Mistral Nemo
$0.03
Qwen2.5 72B Instruct
$0.40
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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 Nemo Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 72B Instruct Quirks & Gotchas
No developer gotchas reported.