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

Llama 3.1 8B Instruct
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.

Llama 3.2 90B Instruct
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 8B Instruct
Meta
2024-07-23

Llama 3.2 90B Instruct
Meta
2024-09-25
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.1 8B Instruct

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications

Llama 3.1 8B Instruct

Llama 3.2 90B Instruct
Average performance across 2 common benchmarks

Llama 3.1 8B Instruct

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories

Llama 3.1 8B Instruct

Llama 3.2 90B Instruct
Llama 3.1 8B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

Llama 3.1 8B Instruct

Llama 3.2 90B Instruct