Mistral Nemo
MistralCompact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.
Mistral Nemo Pricing
| Token Type | Price per Million |
|---|---|
| Input tokens | $0.150 |
| Output tokens | $0.150 |
Estimated Cost by Project Size
Realistic cost estimates for common coding scenarios. Assumes 30% cache hit rate where caching is available.
| Scenario | Token Usage | Estimated Cost |
|---|---|---|
| Small Script (1K lines) | 50K input / 30K output | <$0.01 |
| Medium Feature (10K lines) | 500K input / 200K output | $0.08 |
| Large Project (50K lines) | 2,500K input / 1,000K output | $0.41 |
| Code Review (5K lines) | 250K input / 25K output | $0.03 |
Benchmark Performance — Mistral Nemo
Third-party benchmark scores normalized to 0-100 scale. Higher is better. Aggregated scores from published third-party benchmarks. SWE-bench measures real GitHub issue resolution. LiveCodeBench measures competitive programming ability. HumanEval measures basic code generation. BigCodeBench measures practical, multi-step coding tasks. All scores normalized to 0-100 scale.
Sources: SWE-bench Verified, LiveCodeBench, HumanEval, BigCodeBench
Get Access to Mistral Nemo
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How Does Mistral Nemo Compare?
| Model | Input ($/M) | Medium Feature Cost | |
|---|---|---|---|
| Mistral Nemo | $0.150 | $0.08 | selected |
| GPT-4o mini | $0.150 | $0.18 | Compare |
| Gemini 2.5 Flash | $0.150 | $0.17 | Compare |
| Qwen 3 Turbo | $0.150 | $0.17 | Compare |
| DeepSeek Jiuge | $0.150 | $0.17 | Compare |
| Gemini 2.0 Flash | $0.100 | $0.12 | Compare |
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