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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

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

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 5 common benchmarks

Llama 3.2 3B Instruct

+0.3%

Average Score:67.5%

Qwen2.5-Coder 7B Instruct

Average Score:67.2%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

+20.1%

77.4%

reasoning

+4.0%

74.2%

math

61.3%

general

42.5%

Qwen2.5-Coder 7B Instruct

code

57.3%

reasoning

70.2%

math

+4.0%

65.3%

general

+9.8%

52.3%

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

Qwen2.5-Coder 7B Instruct

0 providers

Llama 3.2 3B Instruct

+0.3%

Avg Score:67.5%

Providers:1

Qwen2.5-Coder 7B Instruct

Avg Score:67.2%

Providers:0