token.app › Compare › Mistral Large 2407 vs GPT-5 Nano
Mistral Large 2407 vs GPT-5 Nano
GPT-5 Nano leads on 2 of 2 shared benchmarks. GPT-5 Nano is 22× cheaper per token on a blended 3:1 basis. GPT-5 Nano accepts the larger context window (400K).
Head to head
Blended price uses a 3:1 input:output mix
| Mistral Large 2407 | GPT-5 Nano | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input $/1M | $2.00 | $0.050 |
| Output $/1M | $6.00 | $0.400 |
| Blended $/1M | $3.00 | $0.138 |
| Context window | 131K | 400K |
| Max output | — | 128K |
| Released | Nov 2024 | Aug 2025 |
| Licence | Proprietary | Proprietary |
| GPQA Diamond | 49.0% | 69.4% |
| OTIS Mock AIME | 8.5% | 81.1% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose Mistral Large 2407 if…
- No clear advantage on the data we hold.
Choose GPT-5 Nano if…
- Costs less per token — $0.138 vs $3.00 blended
- Higher GPQA Diamond (69.4% vs 49.0%)
- Higher OTIS Mock AIME (81.1% vs 8.5%)
- Larger context window (400K)
- Newer model (released Aug 2025)
FAQ
Which is better, Mistral Large 2407 or GPT-5 Nano?
Across the 2 benchmarks both models have independently-run scores for, Mistral Large 2407 leads on 0 and GPT-5 Nano leads on 2. Benchmarks are one input — price and context window are on this page too.
Is Mistral Large 2407 cheaper than GPT-5 Nano?
GPT-5 Nano is cheaper: $0.138 versus $3.00 per million tokens blended at 3:1 input:output. Input alone: $2.00 vs $0.050. Output alone: $6.00 vs $0.400.
What context windows do Mistral Large 2407 and GPT-5 Nano have?
Mistral Large 2407: 131,072 tokens. GPT-5 Nano: 400,000 tokens.
Who makes Mistral Large 2407 and GPT-5 Nano?
Mistral Large 2407 is made by Mistral AI. GPT-5 Nano is made by OpenAI.
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