+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Ministral 8B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 30.4% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
5 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Ministral 8B Instruct
Average Score:44.6%
+
+
+
+
Qwen2.5-Omni-7B
Average Score:75.1%(+30.4%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
+
+
+
+
Qwen2.5-Omni-7B
+
+
+
+
Ministral 8B Instruct
Avg Score:44.6%
Providers:1
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:75.1%(+30.4%)
Providers:0