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DeepSeek R1 Zero vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 26.6% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
3 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+26.6%)
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Llama 3.2 90B Instruct
Average Score:46.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Llama 3.2 90B Instruct
5 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+26.6%)
Providers:0
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Llama 3.2 90B Instruct
Avg Score:46.7%
Providers:5