GPT-5 vs Mistral Large 2
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 and Mistral Large 2.
GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
Mistral Large 2
Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling — making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.
Technical Specifications
| Specification | GPT-5 | Mistral Large 2 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 400,000 tokens | 1,048,576 tokens |
| Agent Suitability | 92/100 | 93/100 |
| Time to First Token (TTFT) | 320 ms | 270 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-07 | 2025-07-24 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5
$1.25
Mistral Large 2
$0.60
Output Price per Million Tokens
GPT-5
$10.00
Mistral Large 2
$1.80
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 Quirks & Gotchas
- ▸Reliable all-rounder — use as default for most production workflows
- ▸Not recommended for advanced reasoning chains — use o3-mini instead
Mistral Large 2 Quirks & Gotchas
- ▸Excellent European data sovereignty — GDPR-compliant infrastructure
- ▸1M context window enables full codebase analysis in a single pass