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DeepSeek R1 Distill Qwen 32B vs Gemma 2 27B
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 40.5% higher average benchmark score. Overall, Gemma 2 27B 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 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
6 months newer
Gemma 2 27B
2024-06-27
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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 2 27B
Average Score:55.3%(+40.5%)
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 2 27B
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DeepSeek R1 Distill Qwen 32B
Avg Score:14.8%
Providers:1
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Gemma 2 27B
Avg Score:55.3%(+40.5%)
Providers:0