token.app › Compare › Mistral Small 3.2 24B vs GPT-5.6 Luna
Mistral Small 3.2 24B vs GPT-5.6 Luna
Mistral Small 3.2 24B is 1.7× 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 Small 3.2 24B | GPT-5.6 Luna | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input $/1M | $0.094 | $0.100 |
| Output $/1M | $0.250 | $0.600 |
| Blended $/1M | $0.133 | $0.225 |
| Context window | 256K | 1.1M |
| Max output | 16K | 128K |
| Released | Jun 2025 | Jul 2026 |
| Licence | Open weights | Proprietary |
Choose Mistral Small 3.2 24B if…
- Costs less per token — $0.133 vs $0.225 blended
- Open weights — self-hostable
Choose GPT-5.6 Luna if…
- Larger context window (1.1M)
- Newer model (released Jul 2026)
FAQ
Which is better, Mistral Small 3.2 24B or GPT-5.6 Luna?
We do not hold independently-run benchmark scores covering both Mistral Small 3.2 24B and GPT-5.6 Luna, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Mistral Small 3.2 24B cheaper than GPT-5.6 Luna?
Mistral Small 3.2 24B is cheaper: $0.133 versus $0.225 per million tokens blended at 3:1 input:output. Input alone: $0.094 vs $0.100. Output alone: $0.250 vs $0.600.
What context windows do Mistral Small 3.2 24B and GPT-5.6 Luna have?
Mistral Small 3.2 24B: 256,000 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Mistral Small 3.2 24B and GPT-5.6 Luna?
Mistral Small 3.2 24B is made by Mistral AI. GPT-5.6 Luna is made by OpenAI.
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