Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.1 405B Instruct
Meta
2024-07-23
GPT-5 nano
OpenAI
2025-08-07
1 year newer
Pricing Comparison
Cost per million tokens (USD)
GPT-5 nano
Llama 3.1 405B Instruct
Performance Metrics
Context window and performance specifications
GPT-5 nano
Llama 3.1 405B Instruct
Average performance across 1 common benchmarks
GPT-5 nano
Llama 3.1 405B Instruct
Performance comparison across key benchmark categories
GPT-5 nano
Llama 3.1 405B Instruct
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics
GPT-5 nano
ZeroEval
OpenAI
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
GPT-5 nano
Llama 3.1 405B Instruct