+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Pixtral-12B vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 5.5% higher average benchmark score. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
4 months newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Pixtral-12B
Average Score:75.0%
+
+
+
+
Qwen2.5 VL 7B Instruct
Average Score:80.5%(+5.5%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Pixtral-12B
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
Qwen2.5 VL 7B Instruct
+
+
+
+
Pixtral-12B
Avg Score:75.0%
Providers:1
+
+
+
+
Qwen2.5 VL 7B Instruct
Avg Score:80.5%(+5.5%)
Providers:0