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DeepSeek R1 Distill Qwen 32B vs DeepSeek VL2 Tiny
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 32.6% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
1 month newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:16.5%
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DeepSeek VL2 Tiny
Average Score:49.1%(+32.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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DeepSeek VL2 Tiny
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DeepSeek R1 Distill Qwen 32B
Avg Score:16.5%
Providers:1
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DeepSeek VL2 Tiny
Avg Score:49.1%(+32.6%)
Providers:0