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-preview

OpenAI

o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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.

OpenAI

o1-preview

OpenAI

2024-09-12

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B
OpenAI

o1-preview

Larger context
Max Context:160.8K

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
general
+10.9%
68.9%
roleplay
+10.6%
62.9%
OpenAI

o1-preview

math
+27.4%
88.1%
general
58.0%
roleplay
52.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
OpenAI

o1-preview

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
OpenAI

o1-preview

Avg Score:0.0%
Providers:2