Model Comparison

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

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). 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-1.5

xAI

2024-03-28

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Grok-1.5

Max Context:-

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 4 common benchmarks

Grok-1.5

+9.0%

Average Score:64.5%

Llama 3.2 3B Instruct

Average Score:55.5%

Performance comparison across key benchmark categories

Grok-1.5

code

74.1%

math

+3.2%

64.5%

general

+13.6%

56.1%

Llama 3.2 3B Instruct

code

+3.3%

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-1.5

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Grok-1.5

+9.0%

Avg Score:64.5%

Providers:0

Llama 3.2 3B Instruct

Avg Score:55.5%

Providers:1