GPT-4o-mini vs Mistral Large 2407
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-4o-mini and Mistral Large 2407.
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Mistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Technical Specifications
| Specification | GPT-4o-mini | Mistral Large 2407 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | 82/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-18 | 2024-11-19 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4o-mini
$0.15
Mistral Large 2407
$2.00
Output Price per Million Tokens
GPT-4o-mini
$0.60
Mistral Large 2407
$6.00
Want to test both models live?
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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.
GPT-4o-mini Quirks & Gotchas
- ▸Ultra-low latency — best TTFT in the OpenAI lineup
- ▸Tool calling limited to single-step — not suitable for complex agentic pipelines
Mistral Large 2407 Quirks & Gotchas
No developer gotchas reported.