Model Comparison

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

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 Tiny

DeepSeek

2024-12-13

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B
OpenAI

o1-preview

Larger context
Max Context:160.8K

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

math
53.6%
general
+4.6%
62.5%
roleplay
+0.9%
53.2%
OpenAI

o1-preview

math
+34.5%
88.1%
general
58.0%
roleplay
52.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

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 Tiny

Avg Score:0.0%
Providers:0
OpenAI

o1-preview

Avg Score:0.0%
Providers:2