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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

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

Qwen2 7B Instruct

Max Context:-
Parameters:7.6B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

roleplay
63.6%
general
+20.5%
69.9%
math
62.8%
Alibaba

Qwen2 7B Instruct

roleplay
+20.5%
84.1%
general
49.4%
math
+3.2%
66.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Alibaba

Qwen2 7B Instruct

0 providers
DeepSeek

DeepSeek VL2

Avg Score:0.0%
Providers:1
Alibaba

Qwen2 7B Instruct

Avg Score:0.0%
Providers:0