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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

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.

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

OpenAI

o4-mini

OpenAI

2025-04-16

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

$4.23 cheaper
Input:$0.27
Output:$1.00
OpenAI

o4-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
OpenAI

o4-mini

Max Context:300.0K

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V3.1

Average Score:49.4%
OpenAI

o4-mini

+15.5%
Average Score:64.9%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

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

o4-mini

math
+46.9%
88.5%
code
+12.4%
68.9%
general
+4.3%
61.5%
agents
+17.9%
57.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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-V3.1

2 providers

DeepInfra

Novita

OpenAI

o4-mini

1 providers

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
DeepSeek

DeepSeek-V3.1

Avg Score:49.4%
Providers:2
OpenAI

o4-mini

+15.5%
Avg Score:64.9%
Providers:1