+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Command R+ vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 2.7% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Command R+ is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Cohere
Command R+ was developed by Cohere as an advanced language model designed for enterprise applications requiring retrieval-augmented generation. Built to excel at combining external knowledge with language understanding, it serves businesses needing reliable, factually-grounded AI assistance with strong reasoning and multilingual capabilities.
+
+
+
+
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.
6 months newer
Command R+
Cohere
2024-08-30
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
+
+
+
+
Command R+
Average Score:75.7%
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:78.4%(+2.7%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
+
+
+
+
+
+
+
+
Command R+
Avg Score:75.7%
Providers:2
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:78.4%(+2.7%)
Providers:0