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DeepSeek R1 Distill Qwen 32B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 14.0% higher average benchmark score. 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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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:62.1%(+14.0%)
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Kimi K2 Base
Average Score:48.1%
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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Kimi K2 Base
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+14.0%)
Providers:1
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Kimi K2 Base
Avg Score:48.1%
Providers:0