token.app โ€บ Compare โ€บ Llama 3.3 70B Instruct vs GPT-5 Nano

Llama 3.3 70B Instruct vs GPT-5 Nano

GPT-5 Nano leads on 2 of 2 shared benchmarks. GPT-5 Nano is 1.1ร— cheaper per token on a blended 3:1 basis. GPT-5 Nano accepts the larger context window (400K).

Head to head
Blended price uses a 3:1 input:output mix
Llama 3.3 70B InstructGPT-5 Nano
ProviderMetaOpenAI
Input $/1M$0.100$0.050
Output $/1M$0.320$0.400
Blended $/1M$0.155$0.138
Context window131K400K
Max output16K128K
ReleasedDec 2024Aug 2025
LicenceOpen weightsProprietary
GPQA Diamond 47.4% 69.4%
OTIS Mock AIME 5.1% 81.1%
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 3.3 70B Instruct ifโ€ฆ
  • Open weights โ€” self-hostable
Choose GPT-5 Nano ifโ€ฆ
  • Costs less per token โ€” $0.138 vs $0.155 blended
  • Higher GPQA Diamond (69.4% vs 47.4%)
  • Higher OTIS Mock AIME (81.1% vs 5.1%)
  • Larger context window (400K)
  • Newer model (released Aug 2025)
FAQ
Which is better, Llama 3.3 70B Instruct or GPT-5 Nano?
Across the 2 benchmarks both models have independently-run scores for, Llama 3.3 70B Instruct leads on 0 and GPT-5 Nano leads on 2. Benchmarks are one input โ€” price and context window are on this page too.
Is Llama 3.3 70B Instruct cheaper than GPT-5 Nano?
GPT-5 Nano is cheaper: $0.138 versus $0.155 per million tokens blended at 3:1 input:output. Input alone: $0.100 vs $0.050. Output alone: $0.320 vs $0.400.
What context windows do Llama 3.3 70B Instruct and GPT-5 Nano have?
Llama 3.3 70B Instruct: 131,072 tokens. GPT-5 Nano: 400,000 tokens.
Who makes Llama 3.3 70B Instruct and GPT-5 Nano?
Llama 3.3 70B Instruct is made by Meta. GPT-5 Nano is made by OpenAI.
Related comparisons