GPT-6 Rosalind vs Mistral Small
Comparing GPT-6 Rosalind and Mistral Small across benchmarks, pricing, and capabilities.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Rosalind and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 100.0x 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
- cost matters — it's about 100.0x 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 · 0 for Mistral Small
GPT-6 Rosalind and Mistral Smalldon'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 75.0x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 125.0x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas Mistral Small does not.
GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Rosalind
Mistral Small
License
Usage and distribution terms
GPT-6 Rosalind is licensed under a proprietary license, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
GPT-6 Rosalind was released on 2026-10-30, while Mistral Small was released on 2024-09-17.
GPT-6 Rosalind is 26 months newer than Mistral Small.
Oct 30, 2026
5 days ago
2.1yr newerSep 17, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-6 Rosalind is available from OpenAI. Mistral Small is available from Mistral AI.
GPT-6 Rosalind
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Mistral Small.