GPT-6 Rosalind vs Phi-3.5-mini-instruct
Comparing GPT-6 Rosalind and Phi-3.5-mini-instruct across benchmarks, pricing, and capabilities.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-6 Rosalind and Phi-3.5-mini-instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Phi-3.5-mini-instruct is roughly 300.0x 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 Phi-3.5-mini-instruct
- cost matters — it's about 300.0x 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 · 31 for Phi-3.5-mini-instruct
GPT-6 Rosalind and Phi-3.5-mini-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 150.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 750.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas Phi-3.5-mini-instruct 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
Phi-3.5-mini-instruct
License
Usage and distribution terms
GPT-6 Rosalind is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-6 Rosalind was released on 2026-10-30, while Phi-3.5-mini-instruct was released on 2024-08-23.
GPT-6 Rosalind is 27 months newer than Phi-3.5-mini-instruct.
Oct 30, 2026
1 days ago
2.2yr newerAug 23, 2024
2.2 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. Phi-3.5-mini-instruct is available from Azure.
GPT-6 Rosalind
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Phi-3.5-mini-instruct.