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DeepSeek VL2 Tiny vs DeepSeek-R1-0528
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 2.6% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
5 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek VL2 Tiny
Average Score:29.4%
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DeepSeek-R1-0528
Average Score:32.1%(+2.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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DeepSeek-R1-0528
3 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:29.4%
Providers:0
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DeepSeek-R1-0528
Avg Score:32.1%(+2.6%)
Providers:3