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Mistral Small 3 24B Base vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 5.2% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
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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.
1 month newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 5 common benchmarks
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Mistral Small 3 24B Base
Average Score:57.0%
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Qwen2.5-Omni-7B
Average Score:62.2%(+5.2%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Base
0 providers
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Qwen2.5-Omni-7B
0 providers
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Mistral Small 3 24B Base
Avg Score:57.0%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:62.2%(+5.2%)
Providers:0