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DeepSeek VL2 vs Grok-1.5V
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 35.0% higher average benchmark score. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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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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xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
8 months newer
Grok-1.5V
xAI
2024-04-12
DeepSeek VL2
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2
Average Score:70.9%(+35.0%)
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Grok-1.5V
Average Score:35.9%
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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Grok-1.5V
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DeepSeek VL2
Avg Score:70.9%(+35.0%)
Providers:1
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Grok-1.5V
Avg Score:35.9%
Providers:0