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Mistral Small 3.1 24B Base vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 27.7% higher average benchmark score. Mistral Small 3.1 24B Base offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-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
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
3 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
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QwQ-32B-Preview
Input:$0.15
Output:$0.20($0.05 cheaper)
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-Preview
Average Score:65.2%(+27.7%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
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-Preview
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1
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QwQ-32B-Preview
Avg Score:65.2%(+27.7%)
Providers:4