GPT-5.6 Sol vs GPT-Rosalind
GPT-5.6 Sol leads the LLM Stats Score 53.5 to 31.6. GPT-Rosalind is 1.1x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 53.5 to 31.6, ranking #8 overall.
In the 2 individual benchmarks reported for both models, GPT-5.6 Sol wins 2; 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-5.6 Sol
- overall performance matters — it scores 53.5 and ranks #8 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 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
45 reported for GPT-5.6 Sol · 10 for GPT-Rosalind
GPT-5.6 Sol outperforms in 2 benchmarks (LifeSciBench, MedChemBench (Internal)), while GPT-Rosalind is better at 0 benchmarks.
GPT-5.6 Sol 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-5.6 Sol ($5.00/1M tokens) costs the same as GPT-Rosalind ($5.00/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 1.2x more expensive than GPT-Rosalind ($25.00/1M tokens).
In conclusion, GPT-5.6 Sol 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-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and GPT-Rosalind support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
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-5.6 Sol was released on 2026-07-09, while GPT-Rosalind was released on 2026-09-11.
GPT-Rosalind is 2 months newer than GPT-5.6 Sol.
Jul 9, 2026
3 months ago
Sep 11, 2026
3 weeks ago
2mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while GPT-Rosalind's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without GPT-Rosalind's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. GPT-Rosalind is available from OpenAI.
GPT-5.6 Sol
GPT-Rosalind
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and GPT-Rosalind side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs GPT-Rosalind.