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DeepSeek VL2 vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 2.6% higher average benchmark score. DeepSeek VL2 offers 242.2K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $4809.08 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek VL2
DeepSeek
2024-12-13
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($4809.08 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek VL2
Average Score:34.2%
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DeepSeek-V2.5
Average Score:36.8%(+2.6%)
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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DeepSeek-V2.5
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DeepSeek VL2
Avg Score:34.2%
Providers:1
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DeepSeek-V2.5
Avg Score:36.8%(+2.6%)
Providers:3