Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 15.0% higher average benchmark score. Llama 3.1 8B Instruct offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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 8B Instruct
Meta
2024-07-23
Llama 3.2 11B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.1 8B Instruct
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Llama 3.1 8B Instruct
Llama 3.2 11B Instruct
Llama 3.1 8B Instruct
2023-12-31
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 8B Instruct
Llama 3.2 11B Instruct
Llama 3.1 8B Instruct
Llama 3.2 11B Instruct
Hyperbolic
Lambda
Sambanova
Together
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together