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DeepSeek-V3 vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 24.4% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-V3
DeepSeek
2024-12-25
Gemma 3 1B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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DeepSeek-V3
Average Score:40.7%(+24.4%)
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Gemma 3 1B
Average Score:16.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Gemma 3 1B
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DeepSeek-V3
Avg Score:40.7%(+24.4%)
Providers:1
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Gemma 3 1B
Avg Score:16.3%
Providers:0