Model Comparison
GPT-4o mini vs Mistral Small 3 24B Base
GPT-4o mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Mistral Small 3 24B Base is better at 0 benchmarks.
GPT-4o mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4o mini and Mistral Small 3 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o mini
Mistral Small 3 24B Base
License
Usage and distribution terms
GPT-4o mini is licensed under a proprietary license, while Mistral Small 3 24B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while Mistral Small 3 24B Base was released on 2025-01-30.
Mistral Small 3 24B Base is 7 months newer than GPT-4o mini.
Jul 18, 2024
1.8 years ago
Jan 30, 2025
1.3 years ago
6mo newerKnowledge Cutoff
When training data ends
Both models have the same knowledge cutoff date of 2023-10-01.
They should have similar awareness of historical events and information up to this date.
Oct 2023
Oct 2023
Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
Mistral Small 3 24B Base
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs Mistral Small 3 24B Base.