Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

1 month newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

math
+33.8%
90.2%
general
65.1%
Alibaba

Qwen2.5 VL 72B Instruct

math
56.5%
general
+4.5%
69.6%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
DeepSeek

DeepSeek-V3

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0