+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 8B vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 8B leads with 2.3% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
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 Distill Llama 8B
DeepSeek
2025-01-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 8B
Average Score:49.0%(+2.3%)
+
+
+
+
Llama 3.2 90B Instruct
Average Score:46.7%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 8B
0 providers
+
+
+
+
Llama 3.2 90B Instruct
5 providers
Bedrock
+
+
+
+
DeepSeek R1 Distill Llama 8B
Avg Score:49.0%(+2.3%)
Providers:0
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:46.7%
Providers:5