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Mistral Small 3 24B Base vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 8.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Qwen2.5 14B Instruct 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
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
4 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Average performance across 7 common benchmarks
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Mistral Small 3 24B Base
Average Score:65.3%
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Qwen2.5 14B Instruct
Average Score:73.3%(+8.0%)
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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 14B Instruct
0 providers
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Mistral Small 3 24B Base
Avg Score:65.3%
Providers:0
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Qwen2.5 14B Instruct
Avg Score:73.3%(+8.0%)
Providers:0