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 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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

GPT-4.1 nano

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

Input:$0.27
Output:$0.41
OpenAI

GPT-4.1 nano

$0.18 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 37 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+1.9%
Average Score:25.0%
OpenAI

GPT-4.1 nano

Average Score:23.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+30.3%
86.5%
code
+22.1%
64.3%
general
+28.4%
62.1%
agents
+25.7%
44.0%
OpenAI

GPT-4.1 nano

math
56.2%
code
42.1%
general
33.7%
agents
18.3%
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

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 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
DeepSeek

DeepSeek-V3.2-Exp

+1.9%
Avg Score:25.0%
Providers:2
OpenAI

GPT-4.1 nano

Avg Score:23.1%
Providers:1