+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 13.7% higher average benchmark score. Granite 3.3 8B Base supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
+
+
+
+
IBM
Granite 3.3 8B Base was developed by IBM as an enterprise-focused foundation model, designed to provide a reliable starting point for business applications. Built with 8 billion parameters and trained on curated data, it serves as a foundation for domain-specific customization in enterprise contexts.
2 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Granite 3.3 8B Base
IBM
2025-04-16
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:88.8%(+13.7%)
+
+
+
+
Granite 3.3 8B Base
Average Score:75.1%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Granite 3.3 8B Base
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:88.8%(+13.7%)
Providers:1
+
+
+
+
Granite 3.3 8B Base
Avg Score:75.1%
Providers:0