Model Comparison

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

DeepSeek

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.

IBM

Granite 3.3 8B Base

IBM

Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

IBM

Granite 3.3 8B Base

IBM

2025-04-16

4 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

general
+9.2%
68.9%
math
60.7%
IBM

Granite 3.3 8B Base

general
59.7%
math
+3.3%
64.0%
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Base

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
IBM

Granite 3.3 8B Base

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
IBM

Granite 3.3 8B Base

Avg Score:0.0%
Providers:0