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DeepSeek VL2 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 238.1K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $4807.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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
DeepSeek
2024-12-13
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50($4807.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek VL2
Average Score:57.0%(+57.0%)
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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
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
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DeepSeek VL2
Avg Score:57.0%(+57.0%)
Providers:1
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GPT-3.5 Turbo
Avg Score:0.0%
Providers:2