Model Comparison

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

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen2.5 VL 7B Instruct

Max Context:-
Parameters:8.3B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

roleplay
+26.6%
90.2%
math
+38.3%
84.9%
general
+0.7%
68.4%
Alibaba

Qwen2.5 VL 7B Instruct

roleplay
63.6%
math
46.6%
general
67.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0