Model Comparison

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

OpenAI

GPT-4o mini

OpenAI

GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. 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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

OpenAI

GPT-4o mini

OpenAI

2024-07-18

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

2 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60
Alibaba

Qwen2.5-Coder 32B Instruct

$0.57 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o mini

Max Context:144.4K
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 3 common benchmarks

OpenAI

GPT-4o mini

+4.8%
Average Score:79.8%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:75.0%

Performance comparison across key benchmark categories

OpenAI

GPT-4o mini

code
+29.0%
87.2%
math
71.3%
general
52.7%
Alibaba

Qwen2.5-Coder 32B Instruct

code
58.2%
math
+2.9%
74.2%
general
+8.9%
61.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
OpenAI

GPT-4o mini

+4.8%
Avg Score:79.8%
Providers:1
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:75.0%
Providers:4