Model Comparison
GPT-4.1 mini vs Mistral Small 3 24B InstructWhich is better in 2026?
GPT-4.1 mini significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 8.0x cheaper per token.
Verdict: GPT-4.1 mini vs Mistral Small 3 24B Instruct — which is better?
GPT-4.1 mini (by OpenAI) and Mistral Small 3 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4.1 mini outperforms in 2 benchmarks (GPQA, IFEval), while Mistral Small 3 24B Instruct is better at 0 benchmarks. GPT-4.1 mini significantly outperforms across most benchmarks.
On price, Mistral Small 3 24B Instruct is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4.1 mini if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose Mistral Small 3 24B Instruct if…
- cost matters — it's about 8.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 mini outperforms in 2 benchmarks (GPQA, IFEval), while Mistral Small 3 24B Instruct is better at 0 benchmarks.
GPT-4.1 mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 mini ($0.40/1M tokens) is 5.7x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).
For output processing, GPT-4.1 mini ($1.60/1M tokens) is 11.4x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).
In conclusion, GPT-4.1 mini is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. GPT-4.1 mini can generate longer responses up to 32,768 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 mini supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 mini
Mistral Small 3 24B Instruct
License
Usage and distribution terms
GPT-4.1 mini is licensed under a proprietary license, while Mistral Small 3 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-4.1 mini was released on 2025-04-14, while Mistral Small 3 24B Instruct was released on 2025-01-30.
GPT-4.1 mini is 2 months newer than Mistral Small 3 24B Instruct.
Apr 14, 2025
1.2 years ago
2mo newerJan 30, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a knowledge cutoff of 2024-05-31, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.
GPT-4.1 mini has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).
May 2024
7 mo newerOct 2023
Provider Availability
GPT-4.1 mini is available from OpenAI. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
GPT-4.1 mini
Mistral Small 3 24B Instruct
Outputs Comparison
Key Takeaways
GPT-4.1 mini
View detailsOpenAI
Mistral Small 3 24B Instruct
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4.1 mini vs Mistral Small 3 24B Instruct.