Model Comparison

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

DeepSeek

DeepSeek VL2

DeepSeek

DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). 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

DeepSeek

2024-12-13

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

math
62.8%
general
+20.3%
69.9%
IBM

IBM Granite 4.0 Tiny Preview

math
+7.3%
70.1%
general
49.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
IBM

IBM Granite 4.0 Tiny Preview

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0