Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.1 70B Instruct
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.

Llama 3.2 11B Instruct
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.

Llama 3.1 70B Instruct
Meta
2024-07-23

Llama 3.2 11B Instruct
Meta
2024-09-25
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.1 70B Instruct

Llama 3.2 11B Instruct
Performance Metrics
Context window and performance specifications

Llama 3.1 70B Instruct

Llama 3.2 11B Instruct
Average performance across 2 common benchmarks

Llama 3.1 70B Instruct

Llama 3.2 11B Instruct
Performance comparison across key benchmark categories

Llama 3.1 70B Instruct

Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

Llama 3.1 70B Instruct

Llama 3.2 11B Instruct