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DeepSeek VL2 Tiny vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 53.9% 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 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.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
GPT-5 Codex
OpenAI
2025-09-15
Average performance across 15 common benchmarks
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DeepSeek VL2 Tiny
Average Score:58.9%(+53.9%)
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GPT-5 Codex
Average Score:5.0%
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
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 Tiny
0 providers
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GPT-5 Codex
0 providers
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DeepSeek VL2 Tiny
Avg Score:58.9%(+53.9%)
Providers:0
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GPT-5 Codex
Avg Score:5.0%
Providers:0