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DeepSeek R1 Distill Llama 8B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek R1 Distill Llama 8B is a language model developed by DeepSeek. It achieves strong performance with an average score of 64.4% across 4 benchmarks. It excels particularly in MATH-500 (89.1%), AIME 2024 (80.0%), GPQA (49.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
6 months newer
DeepSeek R1 Distill Llama 8B
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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DeepSeek R1 Distill Llama 8B
Average Score:32.2%(+0.9%)
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GPT-5 nano
Average Score:31.3%
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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:32.2%(+0.9%)
Providers:0
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GPT-5 nano
Avg Score:31.3%
Providers:2