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.

Kimi-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

DeepSeek VL2
DeepSeek
2024-12-13

Kimi-k1.5
Moonshot AI
2025-01-20
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2

Kimi-k1.5
Average performance across 2 common benchmarks

DeepSeek VL2

Kimi-k1.5
Performance comparison across key benchmark categories

DeepSeek VL2

Kimi-k1.5
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

Kimi-k1.5

DeepSeek VL2

Kimi-k1.5