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 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Grok-2 mini

xAI

2024-08-13

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Grok-2 mini

Max Context:-

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 3 common benchmarks

Grok-2 mini

+22.0%

Average Score:70.1%

Llama 3.2 3B Instruct

Average Score:48.1%

Performance comparison across key benchmark categories

Grok-2 mini

code

+8.3%

85.7%

math

+9.3%

70.5%

general

+27.3%

69.7%

Llama 3.2 3B Instruct

code

77.4%

math

61.3%

general

42.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Grok-2 mini

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Grok-2 mini

+22.0%

Avg Score:70.1%

Providers:0

Llama 3.2 3B Instruct

Avg Score:48.1%

Providers:1