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Mistral Small 3.1 24B Base vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 5.3% higher average benchmark score. 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
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
10 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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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:50.9%(+5.3%)
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Qwen2.5-Omni-7B
Average Score:45.7%
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-Omni-7B
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Mistral Small 3.1 24B Base
Avg Score:50.9%(+5.3%)
Providers:1
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Qwen2.5-Omni-7B
Avg Score:45.7%
Providers:0