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

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). 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 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 3.1 70B Instruct
Meta
2024-07-23

Grok-2 mini
xAI
2024-08-13
21 days newer
Performance Metrics
Context window and performance specifications

Grok-2 mini

Llama 3.1 70B Instruct
Average performance across 4 common benchmarks

Grok-2 mini

Llama 3.1 70B Instruct
Performance comparison across key benchmark categories

Grok-2 mini

Llama 3.1 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Grok-2 mini

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

Grok-2 mini

Llama 3.1 70B Instruct