Mistral NeMo Instruct
MistralOverview
A state-of-the-art 12B multilingual model with a 128k context window, designed for global applications and strong in multiple languages.
Mistral NeMo Instruct was released on July 18, 2024. API access is available through Google, Mistral AI.
Performance
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Compare Mistral NeMo Instruct to other models by quality (GPQA score) vs cost. Higher scores and lower costs represent better value.
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Benchmarks
Mistral NeMo Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Sat Dec 06 2025Pricing
Pricing, performance, and capabilities for Mistral NeMo Instruct across different providers:
| Provider | Input ($/M) | Output ($/M) | Max Input | Max Output | Latency (s) | Throughput | Quantization | Input | Output |
|---|---|---|---|---|---|---|---|---|---|
 Google | $0.15 | $0.15 | 128.0K | 128.0K | 0.4 | 42.0 tok/s | — | Text Image Audio Video | Text Image Audio Video |
Mistral AI | $0.15 | $0.15 | 128.0K | 128.0K | 0.5 | 0.1 tok/s | — | Text Image Audio Video | Text Image Audio Video |
Price Comparison for Mistral NeMo Instruct
Price per 1M input tokens (USD), lower is better
llm-stats.com - Sat Dec 06 2025Throughput Comparison for Mistral NeMo Instruct
Tokens per second, higher is better
llm-stats.com - Sat Dec 06 2025Latency Comparison for Mistral NeMo Instruct
Time to first token (s), lower is better
llm-stats.com - Sat Dec 06 2025Mistral NeMo Instruct API Providers: Price vs Throughput
Example Outputs
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FAQ
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