GPT-5.5 Pro 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 GPT-5.5 Pro and Mistral Nemo.
GPT-5.5 Pro
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
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 | GPT-5.5 Pro | Mistral Nemo |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 1,050,000 tokens | 131,072 tokens |
| Agent Suitability | 98/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.5 Pro
$30.00
Mistral Nemo
$0.02
Output Price per Million Tokens
GPT-5.5 Pro
$180.00
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.
GPT-5.5 Pro Quirks & Gotchas
- ▸Best-in-class instruction following for complex agentic chains
- ▸Premium pricing — use GPT-5 for cost-sensitive workloads
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.