Model Comparison

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

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.

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 Tiny

DeepSeek

2024-12-13

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek VL2 Tiny

Max Context:-

Parameters:3.0B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 2 common benchmarks

DeepSeek VL2 Tiny

+47.2%

Average Score:47.2%

GPT-3.5 Turbo

Average Score:0.0%

Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

general

+5.6%

62.5%

math

+20.5%

53.6%

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 Tiny

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 Tiny

+47.2%

Avg Score:47.2%

Providers:0

GPT-3.5 Turbo

Avg Score:0.0%

Providers:2