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Mistral Small 3.1 24B Base vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 4.8% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
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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.
5 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:58.2%
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Qwen2.5 14B Instruct
Average Score:63.0%(+4.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Qwen2.5 14B Instruct
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Mistral Small 3.1 24B Base
Avg Score:58.2%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:63.0%(+4.8%)
Providers:0