token.app › Compare › Llama 3.2 1B Instruct vs GPT-5.6 Luna

Llama 3.2 1B Instruct vs GPT-5.6 Luna

Llama 3.2 1B Instruct is 3.2× 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 3.2 1B InstructGPT-5.6 Luna
ProviderMetaOpenAI
Input $/1M$0.027$0.100
Output $/1M$0.201$0.600
Blended $/1M$0.071$0.225
Context window60K1.1M
Max output60K128K
ReleasedSep 2024Jul 2026
LicenceOpen weightsProprietary
Choose Llama 3.2 1B Instruct if…
  • Costs less per token — $0.071 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, Llama 3.2 1B Instruct or GPT-5.6 Luna?
We do not hold independently-run benchmark scores covering both Llama 3.2 1B Instruct and GPT-5.6 Luna, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Llama 3.2 1B Instruct cheaper than GPT-5.6 Luna?
Llama 3.2 1B Instruct is cheaper: $0.071 versus $0.225 per million tokens blended at 3:1 input:output. Input alone: $0.027 vs $0.100. Output alone: $0.201 vs $0.600.
What context windows do Llama 3.2 1B Instruct and GPT-5.6 Luna have?
Llama 3.2 1B Instruct: 60,000 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Llama 3.2 1B Instruct and GPT-5.6 Luna?
Llama 3.2 1B Instruct is made by Meta. GPT-5.6 Luna is made by OpenAI.
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