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DeepSeek R1 Distill Qwen 32B vs Gemma 3 12B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 26.9% higher average benchmark score. Gemma 3 12B offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3 12B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:59.7%(+26.9%)
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Gemma 3 12B
Average Score:32.8%
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 12B
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DeepSeek R1 Distill Qwen 32B
Avg Score:59.7%(+26.9%)
Providers:1
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Gemma 3 12B
Avg Score:32.8%
Providers:1