Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 19.9% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). 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.
8 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Llama 4 Scout
Context window and performance specifications
Average performance across 27 common benchmarks
Llama 3.1 70B Instruct
Llama 4 Scout
Available providers and their performance metrics
Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 70B Instruct
Llama 4 Scout
Llama 3.1 70B Instruct
Llama 4 Scout
Hyperbolic
Lambda
Sambanova
Together
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together