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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-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). The model shows particular specialization in code tasks with an average performance of 90.7%. It supports a 528K token context window for handling large documents. 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-5

OpenAI

2025-08-07

6 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

$9.98 cheaper
Input:$0.27
Output:$1.00
OpenAI

GPT-5

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Max Context:327.7K
Parameters:671.0B
OpenAI

GPT-5

Larger context
Max Context:528.0K

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-V3.1

Average Score:43.9%
OpenAI

GPT-5

+27.8%
Average Score:71.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+91.8%
92.6%
code
56.5%
math
41.6%
agents
39.6%
general
57.3%
OpenAI

GPT-5

factuality
0.8%
code
+34.3%
90.7%
math
+33.1%
74.7%
agents
+34.2%
73.8%
general
+13.1%
70.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5

2024-09-30

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-5

2 providers

OpenAI

Throughput: 100 tok/s
Latency: 2ms

ZeroEval

Throughput: 100 tok/s
Latency: 2ms
DeepSeek

DeepSeek-V3.1

Avg Score:43.9%
Providers:2
OpenAI

GPT-5

+27.8%
Avg Score:71.7%
Providers:2