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 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 3.1 8B 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 8B Instruct
Performance Metrics
Context window and performance specifications

Grok-2

Llama 3.1 8B Instruct
Average performance across 4 common benchmarks

Grok-2

Llama 3.1 8B Instruct
Performance comparison across key benchmark categories

Grok-2

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

Grok-2
xAI

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

Grok-2

Llama 3.1 8B Instruct