Model Comparison

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

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.

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo

OpenAI

2023-03-21

DeepSeek VL2 Small

DeepSeek

2024-12-13

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek VL2 Small

Max Context:-

Parameters:16.0B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 2 common benchmarks

DeepSeek VL2 Small

+54.4%

Average Score:54.4%

GPT-3.5 Turbo

Average Score:0.0%

Performance comparison across key benchmark categories

DeepSeek VL2 Small

general

+12.0%

68.9%

math

+27.6%

60.7%

GPT-3.5 Turbo

general

56.9%

math

33.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek VL2 Small

0 providers

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek VL2 Small

+54.4%

Avg Score:54.4%

Providers:0

GPT-3.5 Turbo

Avg Score:0.0%

Providers:2