Claude Opus 4.6 vs Mistral Nemo
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 Claude Opus 4.6 and Mistral Nemo.
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
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,...
Technical Specifications
| Specification | Claude Opus 4.6 | Mistral Nemo |
|---|---|---|
| Provider | Anthropic | Mistral |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 95/100 | N/A |
| Time to First Token (TTFT) | 500 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-04 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.6
$5.00
Mistral Nemo
$0.02
Output Price per Million Tokens
Claude Opus 4.6
$25.00
Mistral Nemo
$0.03
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Opus 4.6 Quirks & Gotchas
- ▸Best for long-context document analysis and legal review
- ▸Tool calling requires structured prompt — prone to verbose refusal without explicit output schema
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.