+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 19.2% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
1 month newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 70B
Average Score:65.2%(+19.2%)
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:46.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Qwen2.5 VL 32B Instruct
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:65.2%(+19.2%)
Providers:1
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0