Model Comparison

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

DeepSeek

DeepSeek VL2 Small

DeepSeek

DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

OpenAI

o1

OpenAI

2024-12-17

4 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B
OpenAI

o1

Larger context
Max Context:300.0K

Average performance across 2 common benchmarks

DeepSeek

DeepSeek VL2 Small

Average Score:54.4%
OpenAI

o1

+20.4%
Average Score:74.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

vision
74.9%
math
60.7%
general
68.9%
roleplay
62.9%
OpenAI

o1

vision
+2.7%
77.6%
math
+11.3%
72.0%
general
+2.9%
71.8%
roleplay
+4.1%
67.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
DeepSeek

DeepSeek VL2 Small

Avg Score:54.4%
Providers:0
OpenAI

o1

+20.4%
Avg Score:74.7%
Providers:2