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DeepSeek R1 Distill Llama 70B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 6.0% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano 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-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
6 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
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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-5 nano
Input:$0.05
Output:$0.40($0.05 cheaper)
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%
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GPT-5 nano
Average Score:71.2%(+6.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
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DeepSeek R1 Distill Llama 70B
Avg Score:65.2%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+6.0%)
Providers:2