Mistral Nemo vs Qwen Plus 0728
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 Qwen Plus 0728.
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,...
Qwen Plus 0728
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | Mistral Nemo | Qwen Plus 0728 |
|---|---|---|
| Provider | Mistral | 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 | 2024-07-19 | 2025-09-08 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Nemo
$0.02
Qwen Plus 0728
$0.26
Output Price per Million Tokens
Mistral Nemo
$0.03
Qwen Plus 0728
$0.78
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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.
Qwen Plus 0728 Quirks & Gotchas
No developer gotchas reported.