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DeepSeek R1 Distill Llama 70B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 17.1% higher average benchmark score. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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 Llama 70B
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 Llama 70B
Average Score:65.2%(+17.1%)
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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 Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Kimi K2 Base
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DeepSeek R1 Distill Llama 70B
Avg Score:65.2%(+17.1%)
Providers:1
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Kimi K2 Base
Avg Score:48.1%
Providers:0