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Ministral 8B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 32.6% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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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.
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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.
4 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Ministral 8B Instruct
Average Score:51.4%
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Qwen2.5 VL 32B Instruct
Average Score:84.0%(+32.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Ministral 8B Instruct
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.18ms
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Qwen2.5 VL 32B Instruct
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Ministral 8B Instruct
Avg Score:51.4%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:84.0%(+32.6%)
Providers:0