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Mistral Small 3 24B Base vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 10.8% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Qwen2.5 7B 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 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
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 7B Instruct
Average Score:67.8%(+10.8%)
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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 7B Instruct
1 providers
Together
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Mistral Small 3 24B Base
Avg Score:57.0%
Providers:0
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Qwen2.5 7B Instruct
Avg Score:67.8%(+10.8%)
Providers:1