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DeepSeek R1 Distill Llama 70B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 36.1% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. 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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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
2 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
GPT-4.1 nano
OpenAI
2025-04-14
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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
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GPT-4.1 nano
Input:$0.10
Output:$0.40
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%(+36.1%)
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GPT-4.1 nano
Average Score:39.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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GPT-4.1 nano
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+36.1%)
Providers:1
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GPT-4.1 nano
Avg Score:39.8%
Providers:1