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 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 72B 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 72B Instruct

Max Context:-

Parameters:72.0B

Average performance across 6 common benchmarks

Llama 3.2 3B Instruct

Average Score:61.7%

Qwen2 72B Instruct

+10.3%

Average Score:72.0%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

77.4%

reasoning

74.2%

math

61.3%

general

42.5%

Qwen2 72B Instruct

code

+4.8%

82.3%

reasoning

+6.3%

80.5%

math

+14.1%

75.4%

general

+25.4%

67.9%

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 72B Instruct

0 providers

Llama 3.2 3B Instruct

Avg Score:61.7%

Providers:1

Qwen2 72B Instruct

+10.3%

Avg Score:72.0%

Providers:0