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Mistral Small 3.1 24B Base vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 11.0% higher average benchmark score. Overall, QvQ-72B-Preview 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
QVQ-72B Preview was introduced as an experimental visual question answering model, designed to combine vision and language understanding for complex reasoning tasks. Built to demonstrate advanced multimodal reasoning capabilities, it represents Qwen's exploration into models that can analyze and reason about visual information.
2 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
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%
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QvQ-72B-Preview
Average Score:70.3%(+11.0%)
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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QvQ-72B-Preview
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1
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QvQ-72B-Preview
Avg Score:70.3%(+11.0%)
Providers:0