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Mistral Small 3.1 24B Base vs o1-pro
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 24.9% 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 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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OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
3 months newer
o1-pro
OpenAI
2024-12-17
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:52.4%(+24.9%)
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o1-pro
Average Score:27.5%
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
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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o1-pro
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Mistral Small 3.1 24B Base
Avg Score:52.4%(+24.9%)
Providers:1
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o1-pro
Avg Score:27.5%
Providers:0