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Model Comparison

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

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K 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.

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

$0.73 cheaper
Input:$0.27
Output:$1.00
OpenAI

GPT-4.1 mini

Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Max Context:327.7K
Parameters:671.0B
OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V3.1

+18.9%
Average Score:50.0%
OpenAI

GPT-4.1 mini

Average Score:31.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

code
56.5%
general
+8.5%
57.3%
math
41.6%
agents
39.6%
OpenAI

GPT-4.1 mini

code
+2.9%
59.4%
general
48.8%
math
+7.8%
49.4%
agents
+6.3%
45.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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-V3.1

2 providers

DeepInfra

Novita

OpenAI

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
DeepSeek

DeepSeek-V3.1

+18.9%
Avg Score:50.0%
Providers:2
OpenAI

GPT-4.1 mini

Avg Score:31.1%
Providers:2