Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 5.5% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta'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 3.3 70B Instruct
Meta
2024-12-06
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 3.3 70B Instruct
Llama 4 Scout
Context window and performance specifications
Average performance across 16 common benchmarks
Llama 3.3 70B Instruct
Llama 4 Scout
Available providers and their performance metrics
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.3 70B Instruct
Llama 4 Scout
Llama 3.3 70B Instruct
Llama 4 Scout
Hyperbolic
Lambda
Sambanova
Together
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together