Model Comparison

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

GPT-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI'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.

GPT-4o

OpenAI

2024-05-13

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

4 months newer

Performance Metrics

Context window and performance specifications

GPT-4o

Larger context

Max Context:132.1K

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 4 common benchmarks

GPT-4o

+21.3%

Average Score:82.0%

Qwen2.5-Coder 7B Instruct

Average Score:60.7%

Performance comparison across key benchmark categories

GPT-4o

code

+32.9%

90.2%

math

+11.7%

77.0%

general

+22.3%

74.6%

Qwen2.5-Coder 7B Instruct

code

57.3%

math

65.3%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

GPT-4o

2 providers

Azure

Throughput: 92 tok/s

Latency: 0.54ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Qwen2.5-Coder 7B Instruct

0 providers

GPT-4o

+21.3%

Avg Score:82.0%

Providers:2

Qwen2.5-Coder 7B Instruct

Avg Score:60.7%

Providers:0