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.

GPT-3.5 Turbo
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo
OpenAI
2023-03-21

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

DeepSeek VL2

GPT-3.5 Turbo
Performance Metrics
Context window and performance specifications

DeepSeek VL2

GPT-3.5 Turbo
Average performance across 2 common benchmarks

DeepSeek VL2

GPT-3.5 Turbo
Performance comparison across key benchmark categories

DeepSeek VL2

GPT-3.5 Turbo
GPT-3.5 Turbo
2021-09-30
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2
Replicate

GPT-3.5 Turbo
Azure
OpenAI

DeepSeek VL2

GPT-3.5 Turbo