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DeepSeek R1 Distill Llama 70B vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 2.0% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than DeepSeek R1 Distill Llama 70B. DeepSeek R1 Distill Llama 70B is $2.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
7 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40($2.60 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:76.0%(+2.0%)
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Kimi K2 0905
Average Score:73.9%
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 0905
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+2.0%)
Providers:1
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Kimi K2 0905
Avg Score:73.9%
Providers:2