Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 33.5% higher average benchmark score. Llama 4 Scout offers 20.0M more tokens in context window than GPT-3.5 Turbo. Llama 4 Scout is $1.62 cheaper per million tokens. 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-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
GPT-3.5 Turbo
Llama 4 Scout
Context window and performance specifications
Average performance across 14 common benchmarks
GPT-3.5 Turbo
Llama 4 Scout
GPT-3.5 Turbo
2021-09-30
Available providers and their performance metrics
GPT-3.5 Turbo
Azure
OpenAI
GPT-3.5 Turbo
Llama 4 Scout
GPT-3.5 Turbo
Llama 4 Scout
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together