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DeepSeek R1 Distill Llama 70B vs o1-mini
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.8% higher average benchmark score. DeepSeek R1 Distill Llama 70B offers 62.5K more tokens in context window than o1-mini. DeepSeek R1 Distill Llama 70B is $14.50 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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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
4 months newer
o1-mini
OpenAI
2024-09-12
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
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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($14.50 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:79.8%(+4.8%)
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o1-mini
Average Score:75.0%
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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o1-mini
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DeepSeek R1 Distill Llama 70B
Avg Score:79.8%(+4.8%)
Providers:1
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o1-mini
Avg Score:75.0%
Providers:2