GPT-5.5 vs GPT-Rosalind
GPT-5.5 and GPT-Rosalind are closely matched at 47.2 and 31.6 on the LLM Stats Score. GPT-Rosalind is 1.1x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-5.5 and GPT-Rosalind are closely matched on the overall LLM Stats Score at 47.2 and 31.6.
In the 1 individual benchmarks reported for both models, GPT-5.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-Rosalind is roughly 1.1x 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-5.5
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose GPT-Rosalind
- cost matters — it's about 1.1x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
28 reported for GPT-5.5 · 10 for GPT-Rosalind
GPT-5.5 outperforms in 1 benchmarks (GeneBench), while GPT-Rosalind is better at 0 benchmarks.
GPT-5.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.5 ($5.00/1M tokens) costs the same as GPT-Rosalind ($5.00/1M tokens).
For output processing, GPT-5.5 ($30.00/1M tokens) is 1.2x more expensive than GPT-Rosalind ($25.00/1M tokens).
In conclusion, GPT-5.5 is more expensive than GPT-Rosalind.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only GPT-5.5 specifies input context (1,050,000 tokens). Only GPT-5.5 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.5 and GPT-Rosalind support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.5
GPT-Rosalind
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.5 was released on 2026-04-23, while GPT-Rosalind was released on 2026-09-11.
GPT-Rosalind is 5 months newer than GPT-5.5.
Apr 23, 2026
5 months ago
Sep 11, 2026
3 weeks ago
4mo newerKnowledge Cutoff
When training data ends
GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while GPT-Rosalind's cutoff date is not specified.
We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without GPT-Rosalind's cutoff date.
Dec 2025
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Provider Availability
GPT-5.5 is available from OpenAI. GPT-Rosalind is available from OpenAI.
GPT-5.5
GPT-Rosalind
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.5 and GPT-Rosalind side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.5 vs GPT-Rosalind.