Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 27.8% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than GPT OSS 120B. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
OpenAI
GPT OSS 120B is a language model developed by OpenAI. It achieves strong performance with an average score of 61.7% across 7 benchmarks. It excels particularly in MMLU (90.0%), CodeForces (87.4%), GPQA (80.1%). It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. 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 OSS 120B
OpenAI
2025-08-05
Cost per million tokens (USD)
GPT OSS 120B
Llama 4 Maverick
Context window and performance specifications
Average performance across 18 common benchmarks
GPT OSS 120B
Llama 4 Maverick
Available providers and their performance metrics
GPT OSS 120B
DeepInfra
Groq
Novita
OpenAI
ZeroEval
GPT OSS 120B
Llama 4 Maverick
GPT OSS 120B
Llama 4 Maverick
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together