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DeepSeek VL2 Tiny vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny supports multimodal inputs. GPT-3.5 Turbo is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek VL2 Tiny
Average Score:47.2%(+47.2%)
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GPT-3.5 Turbo
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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GPT-3.5 Turbo
2 providers
Azure
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DeepSeek VL2 Tiny
Avg Score:47.2%(+47.2%)
Providers:0
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GPT-3.5 Turbo
Avg Score:0.0%
Providers:2