Mistral Small 3.1 24B Base vs o3-pro
Comparing Mistral Small 3.1 24B Base and o3-pro across benchmarks, pricing, and capabilities.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Mistral Small 3.1 24B Base and o3-pro trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3.1 24B Base is roughly 233.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3-pro also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 233.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3-pro
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jun 2025
At a glance
The differences that matter most.
Individual benchmarks
5 reported for Mistral Small 3.1 24B Base · 0 for o3-pro
Mistral Small 3.1 24B Base and o3-prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Small 3.1 24B Base ($0.10/1M tokens) is 200.0x cheaper than o3-pro ($20.00/1M tokens).
For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) is 266.7x cheaper than o3-pro ($80.00/1M tokens).
In conclusion, o3-pro is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o3-pro accepts 200,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while o3-pro is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Mistral Small 3.1 24B Base and o3-pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Base
o3-pro
License
Usage and distribution terms
Mistral Small 3.1 24B Base is licensed under Apache 2.0, while o3-pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Small 3.1 24B Base was released on 2025-03-17, while o3-pro was released on 2025-06-10.
o3-pro is 3 months newer than Mistral Small 3.1 24B Base.
Mar 17, 2025
1.5 years ago
Jun 10, 2025
1.3 years ago
2mo newerKnowledge Cutoff
When training data ends
o3-pro has a documented knowledge cutoff of 2024-05-31, while Mistral Small 3.1 24B Base's cutoff date is not specified.
We can confirm o3-pro's training data extends to 2024-05-31, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.
—
May 2024
Provider Availability
Mistral Small 3.1 24B Base is available from Mistral AI. o3-pro is available from OpenAI.
Mistral Small 3.1 24B Base
o3-pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small 3.1 24B Base and o3-pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3.1 24B Base vs o3-pro.