Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 38.4% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct is available on 6 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
10 months newer

Llama 3.2 11B Instruct
Meta
2024-09-25

GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)

GPT-5 nano

Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-5 nano

Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
GPT-5 nano
2024-05-30
Available providers and their performance metrics

GPT-5 nano
OpenAI
ZeroEval


GPT-5 nano

Llama 3.2 11B Instruct

GPT-5 nano

Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together