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

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

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

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+31.2%
84.9%
general
+48.0%
68.4%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%

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

QvQ-72B-Preview

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0