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-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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-4.1 mini

OpenAI

2025-04-14

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

$1.32 cheaper
Input:$0.27
Output:$0.41
OpenAI

GPT-4.1 mini

Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M

Average performance across 36 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:24.1%
OpenAI

GPT-4.1 mini

+15.9%
Average Score:40.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+37.0%
86.5%
code
+4.9%
64.3%
general
+13.3%
62.1%
agents
44.0%
OpenAI

GPT-4.1 mini

math
49.4%
code
59.4%
general
48.8%
agents
+1.9%
45.9%
Knowledge Cutoff
Training data recency comparison

GPT-4.1 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

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:24.1%
Providers:2
OpenAI

GPT-4.1 mini

+15.9%
Avg Score:40.0%
Providers:2