Model Comparison

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

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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%). The model shows particular specialization in code tasks with an average performance of 90.7%. 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.

OpenAI

GPT-5

OpenAI

2025-08-07

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

1 month newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

$10.57 cheaper
Input:$0.27
Output:$0.41
OpenAI

GPT-5

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
OpenAI

GPT-5

Larger context
Max Context:528.0K

Average performance across 41 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:21.2%
OpenAI

GPT-5

+38.7%
Average Score:59.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

factuality
+96.3%
97.1%
code
64.3%
math
+11.7%
86.5%
agents
44.0%
general
62.1%
OpenAI

GPT-5

factuality
0.8%
code
+26.5%
90.7%
math
74.7%
agents
+29.8%
73.8%
general
+8.3%
70.3%
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

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
OpenAI

GPT-5

2 providers

ZeroEval

Throughput: 100 tok/s
Latency: 2ms

OpenAI

Throughput: 100 tok/s
Latency: 2ms
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:21.2%
Providers:2
OpenAI

GPT-5

+38.7%
Avg Score:59.8%
Providers:2