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DeepSeek R1 Distill Qwen 32B vs DeepSeek VL2 Tiny
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
1 month newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
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:0.0%
Providers:1
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DeepSeek VL2 Tiny
Avg Score:0.0%
Providers:0