Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 26.0% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than GPT OSS 20B. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
OpenAI
GPT OSS 20B is a language model developed by OpenAI. The model shows competitive results across 7 benchmarks. It excels particularly in MMLU (85.3%), CodeForces (83.9%), GPQA (71.5%). It supports a 262K token context window for handling large documents. The model is available through 4 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 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 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 Scout
Meta
2025-04-05
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
GPT OSS 20B
Llama 4 Scout
Context window and performance specifications
Average performance across 17 common benchmarks
GPT OSS 20B
Llama 4 Scout
Available providers and their performance metrics
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval
GPT OSS 20B
Llama 4 Scout
GPT OSS 20B
Llama 4 Scout
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together