Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 23.9% higher average benchmark score. Both models have similar pricing. Llama 3.2 11B Instruct 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 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. 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 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Llama 3.2 11B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Llama 3.1 70B Instruct
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 70B Instruct
Llama 3.2 11B Instruct
Llama 3.1 70B Instruct
Llama 3.2 11B Instruct
Hyperbolic
Lambda
Sambanova
Together
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together