token.app › Compare › Llama 3.1 8B Instruct vs GPT-5.6 Luna

Llama 3.1 8B Instruct vs GPT-5.6 Luna

GPT-5.6 Luna leads on 2 of 2 shared benchmarks. Llama 3.1 8B Instruct is 3.9× 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
Llama 3.1 8B InstructGPT-5.6 Luna
ProviderMetaOpenAI
Input $/1M$0.050$0.100
Output $/1M$0.080$0.600
Blended $/1M$0.058$0.225
Context window131K1.1M
Max output131K128K
ReleasedJul 2024Jul 2026
LicenceOpen weightsProprietary
GPQA Diamond 25.9% 91.6%
OTIS Mock AIME 2.5% 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 Llama 3.1 8B Instruct if…
  • Costs less per token — $0.058 vs $0.225 blended
  • Open weights — self-hostable
Choose GPT-5.6 Luna if…
  • Higher GPQA Diamond (91.6% vs 25.9%)
  • Higher OTIS Mock AIME (98.3% vs 2.5%)
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Llama 3.1 8B Instruct or GPT-5.6 Luna?
Across the 2 benchmarks both models have independently-run scores for, Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct cheaper than GPT-5.6 Luna?
Llama 3.1 8B Instruct is cheaper: $0.058 versus $0.225 per million tokens blended at 3:1 input:output. Input alone: $0.050 vs $0.100. Output alone: $0.080 vs $0.600.
What context windows do Llama 3.1 8B Instruct and GPT-5.6 Luna have?
Llama 3.1 8B Instruct: 131,072 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Llama 3.1 8B Instruct and GPT-5.6 Luna?
Llama 3.1 8B Instruct is made by Meta. GPT-5.6 Luna is made by OpenAI.
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