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.

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

9 months newer

Performance Metrics

Context window and performance specifications

DeepSeek VL2 Tiny

Max Context:-

Parameters:3.0B

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

Average performance across 28 common benchmarks

DeepSeek VL2 Tiny

Average Score:31.6%

DeepSeek-V3.2-Exp

+1.5%

Average Score:33.1%

Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

math

53.6%

general

+0.5%

62.5%

DeepSeek-V3.2-Exp

math

+32.9%

86.5%

general

62.1%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek VL2 Tiny

0 providers

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

DeepSeek VL2 Tiny

Avg Score:31.6%

Providers:0

DeepSeek-V3.2-Exp

+1.5%

Avg Score:33.1%

Providers:2