Model Comparison

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

OpenAI

GPT-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). It supports a 528K 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 2025, 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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

OpenAI

GPT-5

OpenAI

2025-08-07

10 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-5

Input:$1.25
Output:$10.00
Alibaba

Qwen2.5-Coder 32B Instruct

$11.07 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5

Larger context
Max Context:528.0K
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 3 common benchmarks

OpenAI

GPT-5

+15.2%
Average Score:90.2%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:75.0%

Performance comparison across key benchmark categories

OpenAI

GPT-5

code
+35.2%
93.4%
general
+12.8%
74.3%
math
55.5%
factuality
0.8%
Alibaba

Qwen2.5-Coder 32B Instruct

code
58.2%
general
61.5%
math
+18.7%
74.2%
factuality
+53.4%
54.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-5

2 providers

OpenAI

Throughput: 100 tok/s
Latency: 2ms

ZeroEval

Throughput: 100 tok/s
Latency: 2ms
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-5

+15.2%
Avg Score:90.2%
Providers:2
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:75.0%
Providers:4