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.

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

12 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B
DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

math
53.6%
general
62.5%
DeepSeek

DeepSeek-V3

math
+36.6%
90.2%
general
+2.6%
65.1%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers
DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
DeepSeek

DeepSeek-V3

Avg Score:0.0%
Providers:1