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DeepSeek R1 Distill Llama 70B vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 1.4% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than DeepSeek R1 Distill Llama 70B. DeepSeek R1 Distill Llama 70B is $2.37 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 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
5 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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($2.37 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:82.1%(+1.4%)
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Kimi K2 Instruct
Average Score:80.7%
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 Instruct
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DeepSeek R1 Distill Llama 70B
Avg Score:82.1%(+1.4%)
Providers:1
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Kimi K2 Instruct
Avg Score:80.7%
Providers:1