token.app โ€บ Compare โ€บ Mistral Small 3.1 24B vs GPT-5.6 Luna

Mistral Small 3.1 24B vs GPT-5.6 Luna

GPT-5.6 Luna leads on 2 of 2 shared benchmarks. GPT-5.6 Luna is 1.8ร— 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 3.1 24BGPT-5.6 Luna
ProviderMistral AIOpenAI
Input $/1M$0.351$0.100
Output $/1M$0.555$0.600
Blended $/1M$0.402$0.225
Context window128K1.1M
Max output128K128K
ReleasedMar 2025Jul 2026
LicenceOpen weightsProprietary
GPQA Diamond 47.5% 91.6%
OTIS Mock AIME 5.8% 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 Small 3.1 24B ifโ€ฆ
  • Open weights โ€” self-hostable
Choose GPT-5.6 Luna ifโ€ฆ
  • Costs less per token โ€” $0.225 vs $0.402 blended
  • Higher GPQA Diamond (91.6% vs 47.5%)
  • Higher OTIS Mock AIME (98.3% vs 5.8%)
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Mistral Small 3.1 24B or GPT-5.6 Luna?
Across the 2 benchmarks both models have independently-run scores for, Mistral Small 3.1 24B leads on 0 and GPT-5.6 Luna leads on 2. Benchmarks are one input โ€” price and context window are on this page too.
Is Mistral Small 3.1 24B cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.225 versus $0.402 per million tokens blended at 3:1 input:output. Input alone: $0.351 vs $0.100. Output alone: $0.555 vs $0.600.
What context windows do Mistral Small 3.1 24B and GPT-5.6 Luna have?
Mistral Small 3.1 24B: 128,000 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Mistral Small 3.1 24B and GPT-5.6 Luna?
Mistral Small 3.1 24B is made by Mistral AI. GPT-5.6 Luna is made by OpenAI.
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