token.app › Compare › Mixtral 8x22B Instruct vs GPT-5.6 Luna

Mixtral 8x22B Instruct vs GPT-5.6 Luna

GPT-5.6 Luna leads on 1 of 1 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
Mixtral 8x22B InstructGPT-5.6 Luna
ProviderMistral AIOpenAI
Input $/1M$2.00$0.100
Output $/1M$6.00$0.600
Blended $/1M$3.00$0.225
Context window66K1.1M
Max output—128K
ReleasedApr 2024Jul 2026
LicenceOpen weightsProprietary
GPQA Diamond 34.1% 91.6%
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 Mixtral 8x22B Instruct if…
  • Open weights — self-hostable
Choose GPT-5.6 Luna if…
  • Costs less per token — $0.225 vs $3.00 blended
  • Higher GPQA Diamond (91.6% vs 34.1%)
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Mixtral 8x22B Instruct or GPT-5.6 Luna?
Across the 1 benchmark both models have independently-run scores for, Mixtral 8x22B Instruct leads on 0 and GPT-5.6 Luna leads on 1. Benchmarks are one input — price and context window are on this page too.
Is Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct and GPT-5.6 Luna have?
Mixtral 8x22B Instruct: 65,536 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Mixtral 8x22B Instruct and GPT-5.6 Luna?
Mixtral 8x22B Instruct is made by Mistral AI. GPT-5.6 Luna is made by OpenAI.
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