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Mistral Small 3.1 24B Base vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 27.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, QwQ-32B 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
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
12 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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:37.5%
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QwQ-32B
Average Score:65.2%(+27.7%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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QwQ-32B
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1
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QwQ-32B
Avg Score:65.2%(+27.7%)
Providers:0