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Mistral Small 3 24B Base vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 2.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
4 months newer
Qwen2.5-Coder 32B 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 6 common benchmarks
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Mistral Small 3 24B Base
Average Score:70.5%
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Qwen2.5-Coder 32B Instruct
Average Score:72.4%(+2.0%)
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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-Coder 32B Instruct
4 providers
DeepInfra
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Mistral Small 3 24B Base
Avg Score:70.5%
Providers:0
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Qwen2.5-Coder 32B Instruct
Avg Score:72.4%(+2.0%)
Providers:4