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Mistral Small 3.1 24B Base vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
1 month newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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 1 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:59.3%(+0.7%)
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Qwen2.5 VL 7B Instruct
Average Score:58.6%
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 VL 7B Instruct
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Mistral Small 3.1 24B Base
Avg Score:59.3%(+0.7%)
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:58.6%
Providers:0