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Mistral Small 3.1 24B Base vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 14.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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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 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
5 months newer
Qwen2.5-Coder 7B 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 2 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:68.5%(+14.7%)
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Qwen2.5-Coder 7B Instruct
Average Score:53.8%
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-Coder 7B Instruct
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Mistral Small 3.1 24B Base
Avg Score:68.5%(+14.7%)
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:53.8%
Providers:0