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DeepSeek R1 Distill Qwen 32B vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 12.1% higher average benchmark score. Overall, Gemma 3 1B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3 1B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:14.8%
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Gemma 3 1B
Average Score:26.9%(+12.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemma 3 1B
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DeepSeek R1 Distill Qwen 32B
Avg Score:14.8%
Providers:1
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Gemma 3 1B
Avg Score:26.9%(+12.1%)
Providers:0