Model Comparison
GPT-5 vs Mistral Small 3.2 24B Instruct
GPT-5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMMU), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.
GPT-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5 and Mistral Small 3.2 24B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
GPT-5 is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct 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-5 was released on 2025-08-07, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
GPT-5 is 2 months newer than Mistral Small 3.2 24B Instruct.
Aug 7, 2025
8 months ago
1mo newerJun 20, 2025
10 months ago
Knowledge Cutoff
When training data ends
GPT-5 has a knowledge cutoff of 2024-09-30, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.
GPT-5 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).
Sep 2024
11 mo newerOct 2023
Outputs Comparison
Key Takeaways
GPT-5
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-5 vs Mistral Small 3.2 24B Instruct