token.app › Compare › Codestral 2508 vs GPT-5.6 Luna
Codestral 2508 vs GPT-5.6 Luna
GPT-5.6 Luna is 2.0× 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
| Codestral 2508 | GPT-5.6 Luna | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input $/1M | $0.300 | $0.100 |
| Output $/1M | $0.900 | $0.600 |
| Blended $/1M | $0.450 | $0.225 |
| Context window | 256K | 1.1M |
| Max output | — | 128K |
| Released | Aug 2025 | Jul 2026 |
| Licence | Proprietary | Proprietary |
Choose Codestral 2508 if…
- No clear advantage on the data we hold.
Choose GPT-5.6 Luna if…
- Costs less per token — $0.225 vs $0.450 blended
- Larger context window (1.1M)
- Newer model (released Jul 2026)
FAQ
Which is better, Codestral 2508 or GPT-5.6 Luna?
We do not hold independently-run benchmark scores covering both Codestral 2508 and GPT-5.6 Luna, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Codestral 2508 cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.225 versus $0.450 per million tokens blended at 3:1 input:output. Input alone: $0.300 vs $0.100. Output alone: $0.900 vs $0.600.
What context windows do Codestral 2508 and GPT-5.6 Luna have?
Codestral 2508: 256,000 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Codestral 2508 and GPT-5.6 Luna?
Codestral 2508 is made by Mistral AI. GPT-5.6 Luna is made by OpenAI.