AI Desk · AI FingerprintingNew arrival
Why moderate: near-exact agreement (49 of 49 strings) with openai/gpt-5-nano, short of a full exact signature.
OpenAI: GPT-6.1 Sol is OpenAI's model. Its measured tokenizer sits with the GPT group, which is evidence that it builds on the GPT tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against OpenAI's authorship of the model itself.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted, using the 49 strings that came back reliably | we measured it |
| How its API is set up | Set up identically to 4 other listings, field for field | api_523f730f |
| How much it can read and write | Reads up to 1,050,000 tokens at once, writes up to 128,000 | its own listing |
| Whether it thinks before answering | Always reasons, and cannot be turned off, at max, xhigh, high, medium, low, medium by default | its own listing |
| Who served our requests | OpenAI | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent OpenAI: GPT-6.1 Sol fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 6 prompt tokens.
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
Supported parameters
include_reasoningmax_completion_tokensmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstool_choicetoolsverbosity
defaults: {}
