Model Comparison

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

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

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-4

OpenAI

2023-06-13

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

1 year newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4

Input:$30.00
Output:$60.00
Alibaba

Qwen2.5-Coder 32B Instruct

$89.82 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4

Max Context:65.5K
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 5 common benchmarks

OpenAI

GPT-4

Average Score:75.6%
Alibaba

Qwen2.5-Coder 32B Instruct

+2.1%
Average Score:77.8%

Performance comparison across key benchmark categories

OpenAI

GPT-4

reasoning
+14.9%
93.0%
general
+14.7%
76.2%
math
68.5%
code
+8.8%
67.0%
Alibaba

Qwen2.5-Coder 32B Instruct

reasoning
78.1%
general
61.5%
math
+5.7%
74.2%
code
58.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
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-4

Avg Score:75.6%
Providers:2
Alibaba

Qwen2.5-Coder 32B Instruct

+2.1%
Avg Score:77.8%
Providers:4