+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral NeMo Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 10.4% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Mistral NeMo Instruct is available on 2 providers. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
+
+
+
+
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.
7 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
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
+
+
+
+
Mistral NeMo Instruct
Average Score:68.0%
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:78.4%(+10.4%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
Mistral NeMo Instruct
Avg Score:68.0%
Providers:2
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:78.4%(+10.4%)
Providers:0