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.

Alibaba

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

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

Qwen2.5-Coder 7B Instruct

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

general
+17.7%
69.9%
math
62.8%
Alibaba

Qwen2.5-Coder 7B Instruct

general
52.3%
math
+2.5%
65.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5-Coder 7B Instruct

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5-Coder 7B Instruct

Avg Score:0.0%
Providers:0