Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 872.0K more tokens in context window than GPT-OSS-120B. Llama 4 Maverick is $Infinity cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
3 months newer

Llama 4 Maverick
Meta AI
2025-04-05

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
GPT-OSS-120B
Llama 4 Maverick
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
Llama 4 Maverick
GPT-OSS-120B
Llama 4 Maverick
GPT-OSS-120B
Llama 4 Maverick
Together AI