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DeepSeek R1 Distill Llama 8B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 22.2% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-8B was developed as a compact distilled variant, designed to bring reasoning capabilities to a more efficient 8B parameter Llama base. Built to democratize access to reasoning-enhanced models, it provides a lightweight option for applications requiring analytical depth with limited resources.
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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 8B
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Llama 8B
Average Score:49.0%
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GPT-5 nano
Average Score:71.2%(+22.2%)
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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 8B
0 providers
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GPT-5 nano
2 providers
OpenAI
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DeepSeek R1 Distill Llama 8B
Avg Score:49.0%
Providers:0
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GPT-5 nano
Avg Score:71.2%(+22.2%)
Providers:2