Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Grok-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.1 405B Instruct
Meta
2024-07-23
Grok-2
xAI
2024-08-13
21 days newer
Pricing Comparison
Cost per million tokens (USD)
Grok-2
Llama 3.1 405B Instruct
Performance Metrics
Context window and performance specifications
Grok-2
Llama 3.1 405B Instruct
Average performance across 5 common benchmarks
Grok-2
Llama 3.1 405B Instruct
Performance comparison across key benchmark categories
Grok-2
Llama 3.1 405B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Grok-2
xAI
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
Grok-2
Llama 3.1 405B Instruct