GPT-6 Rosalind vs Mistral Small 3.2 24B Instruct
Comparing GPT-6 Rosalind and Mistral Small 3.2 24B Instruct across benchmarks, pricing, and capabilities.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Rosalind and Mistral Small 3.2 24B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3.2 24B Instruct is roughly 282.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Rosalind
- you want the most recent training data — it shipped Oct 2026
Choose Mistral Small 3.2 24B Instruct
- cost matters — it's about 282.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GPT-6 Rosalind · 15 for Mistral Small 3.2 24B Instruct
GPT-6 Rosalind and Mistral Small 3.2 24B Instructdon'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, GPT-6 Rosalind ($15.00/1M tokens) is 200.0x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 375.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Mistral Small 3.2 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Rosalind 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-6 Rosalind
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
GPT-6 Rosalind 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-6 Rosalind was released on 2026-10-30, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
GPT-6 Rosalind is 17 months newer than Mistral Small 3.2 24B Instruct.
Oct 30, 2026
2 days ago
1.4yr newerJun 20, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while GPT-6 Rosalind's cutoff date is not specified.
We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without GPT-6 Rosalind's cutoff date.
—
Oct 2023
Provider Availability
GPT-6 Rosalind is available from OpenAI. Mistral Small 3.2 24B Instruct is available from DeepInfra.
GPT-6 Rosalind
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Mistral Small 3.2 24B Instruct.