Model Comparison

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

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, 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.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1-0528

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

Qwen2.5 VL 7B Instruct

Max Context:-
Parameters:8.3B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1-0528

general
+1.4%
69.2%
Alibaba

Qwen2.5 VL 7B Instruct

general
67.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
DeepSeek

DeepSeek-R1-0528

Avg Score:0.0%
Providers:3
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0