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

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). The model shows particular specialization in math tasks with an average performance of 88.5%. It supports a 300K 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 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

o4-mini

OpenAI

2025-04-16

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

$4.82 cheaper
Input:$0.27
Output:$0.41
OpenAI

o4-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
OpenAI

o4-mini

Larger context
Max Context:300.0K

Average performance across 21 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:41.3%
OpenAI

o4-mini

+3.0%
Average Score:44.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
86.5%
code
64.3%
general
+0.5%
62.1%
agents
44.0%
OpenAI

o4-mini

math
+2.0%
88.5%
code
+4.6%
68.9%
general
61.5%
agents
+13.5%
57.5%
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

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

o4-mini

1 providers

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:41.3%
Providers:2
OpenAI

o4-mini

+3.0%
Avg Score:44.3%
Providers:1