Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 40.2% higher average benchmark score. Llama 4 Maverick offers 1.5M more tokens in context window than GPT-5 nano. Both models have similar pricing. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
4 months newer
Llama 4 Maverick
Meta
2025-04-05
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Llama 4 Maverick
Context window and performance specifications
Average performance across 17 common benchmarks
GPT-5 nano
Llama 4 Maverick
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Llama 4 Maverick
GPT-5 nano
Llama 4 Maverick
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together