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DeepSeek VL2 Small vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 1.3% higher average benchmark score. DeepSeek VL2 Small supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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.
28 days newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
DeepSeek-V3.1
DeepSeek
2025-01-10
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek VL2 Small
Average Score:32.5%(+1.3%)
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DeepSeek-V3.1
Average Score:31.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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DeepSeek-V3.1
2 providers
DeepInfra
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DeepSeek VL2 Small
Avg Score:32.5%(+1.3%)
Providers:0
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DeepSeek-V3.1
Avg Score:31.2%
Providers:2