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DeepSeek VL2 vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 14.2% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. 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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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
2 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Gemma 3 1B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek VL2
Average Score:31.0%(+14.2%)
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Gemma 3 1B
Average Score:16.8%
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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Gemma 3 1B
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DeepSeek VL2
Avg Score:31.0%(+14.2%)
Providers:1
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Gemma 3 1B
Avg Score:16.8%
Providers:0