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DeepSeek VL2 vs GPT-5
Comprehensive side-by-side LLM comparison
GPT-5 leads with 33.1% higher average benchmark score. GPT-5 offers 269.4K more tokens in context window than DeepSeek VL2. GPT-5 is $4798.25 cheaper per million tokens. Overall, GPT-5 is the stronger choice for coding tasks.
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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-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
GPT-5
OpenAI
2025-08-07
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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-5
Input:$1.25
Output:$10.00($4798.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek VL2
Average Score:51.1%
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GPT-5
Average Score:84.2%(+33.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-5
2024-09-30
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-5
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DeepSeek VL2
Avg Score:51.1%
Providers:1
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GPT-5
Avg Score:84.2%(+33.1%)
Providers:2