Model Comparison

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

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.

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba

2024-07-23

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 4 common benchmarks

Llama 3.2 3B Instruct

Average Score:55.5%

Qwen2 7B Instruct

+1.5%

Average Score:56.9%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

+13.2%

77.4%

math

61.3%

general

42.5%

Qwen2 7B Instruct

code

64.2%

math

+4.7%

66.0%

general

+6.9%

49.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Qwen2 7B Instruct

0 providers

Llama 3.2 3B Instruct

Avg Score:55.5%

Providers:1

Qwen2 7B Instruct

+1.5%

Avg Score:56.9%

Providers:0