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Mistral Small 3.1 24B Base vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 7.3% 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, 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 is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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 8 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:39.3%(+7.3%)
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QwQ-32B-Preview
Average Score:32.0%
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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:39.3%(+7.3%)
Providers:1
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QwQ-32B-Preview
Avg Score:32.0%
Providers:4