token.app › Compare › Mistral Large vs GPT-5.6 Luna
Mistral Large vs GPT-5.6 Luna
GPT-5.6 Luna leads on 2 of 2 shared benchmarks. GPT-5.6 Luna is 13× cheaper per token on a blended 3:1 basis. GPT-5.6 Luna accepts the larger context window (1.1M).
Head to head
Blended price uses a 3:1 input:output mix
| Mistral Large | GPT-5.6 Luna | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input $/1M | $2.00 | $0.100 |
| Output $/1M | $6.00 | $0.600 |
| Blended $/1M | $3.00 | $0.225 |
| Context window | 128K | 1.1M |
| Max output | — | 128K |
| Released | Feb 2024 | Jul 2026 |
| Licence | Proprietary | Proprietary |
| GPQA Diamond | 38.8% | 91.6% |
| OTIS Mock AIME | 1.9% | 98.3% |
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 if…
- No clear advantage on the data we hold.
Choose GPT-5.6 Luna if…
- Costs less per token — $0.225 vs $3.00 blended
- Higher GPQA Diamond (91.6% vs 38.8%)
- Higher OTIS Mock AIME (98.3% vs 1.9%)
- Larger context window (1.1M)
- Newer model (released Jul 2026)
FAQ
Which is better, Mistral Large or GPT-5.6 Luna?
Across the 2 benchmarks both models have independently-run scores for, Mistral Large leads on 0 and GPT-5.6 Luna leads on 2. Benchmarks are one input — price and context window are on this page too.
Is Mistral Large cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.225 versus $3.00 per million tokens blended at 3:1 input:output. Input alone: $2.00 vs $0.100. Output alone: $6.00 vs $0.600.
What context windows do Mistral Large and GPT-5.6 Luna have?
Mistral Large: 128,000 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Mistral Large and GPT-5.6 Luna?
Mistral Large is made by Mistral AI. GPT-5.6 Luna is made by OpenAI.