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

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.

Grok-2
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 xAI's latest advancement in AI technology.

Grok-2
xAI
2024-08-13

DeepSeek VL2
DeepSeek
2024-12-13
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek VL2

Grok-2
Performance Metrics
Context window and performance specifications

DeepSeek VL2

Grok-2
Average performance across 3 common benchmarks

DeepSeek VL2

Grok-2
Performance comparison across key benchmark categories

DeepSeek VL2

Grok-2
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

Grok-2
xAI

DeepSeek VL2

Grok-2