Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 20.7% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
8 months newer

Llama 3.3 70B Instruct
Meta
2024-12-06

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

GPT-5 nano

Llama 3.3 70B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-5 nano

Llama 3.3 70B Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics

GPT-5 nano
OpenAI
ZeroEval


GPT-5 nano

Llama 3.3 70B Instruct

GPT-5 nano

Llama 3.3 70B Instruct
Llama 3.3 70B Instruct
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