Headless Thrones

OpenAI · Official-source model record

GPT-Rosalind

GPT · Version gpt-rosalind-research

Listed by publisherChecked Oct 23, 2026
Editorial (0) ↓Download model brief (.md)

Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about GPT-Rosalind

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

How much does GPT-Rosalind cost?

The recorded token rates for GPT-Rosalind are:

  • Input: US$5 per 1 million input tokens. Source
  • Output: US$25 per 1 million output tokens. Source

Rate conditions: USD per million input/output tokens in the life-sciences model table. Cached input is $0.50 per million; cache-write pricing does not apply. Regional data-residency pricing can differ. Access requires approval. Source

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.1 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

Which GPT-Rosalind does this page describe?

GPT-Rosalind is a model record from OpenAI in the GPT family. Source

The recorded model identifier or checkpoint is gpt-rosalind-research. Use that exact identifier when checking documentation or a provider listing. Source

How can you access GPT-Rosalind?

The catalog documents API access for GPT-Rosalind. Source

As of the catalog check, this version was listed without confirmed general availability. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

What distinguishes GPT-Rosalind?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Restricted research access
OpenAI limits access to approved internal research through its trusted-access program; the catalog entry is not an unrestricted self-serve API offer. Source
Billing start
The pricing notice says billing for this exact research identifier began on 2026-10-05. That is a billing date, not a claimed release date or training cutoff. Source
Exact research API pricing
The life-sciences pricing row names gpt-rosalind-research at $5 input, $25 output and $0.50 cached input per million tokens. This quote is restricted to approved research access; regional data-residency pricing may differ. Source

Keep the exact version in view

Other GPT models from OpenAI.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

Chat Latest

API · 400,000 context tokens

GPT-5.2

API · 400,000 context tokens

GPT-5.2 Pro

API · 400,000 context tokens

GPT-5.4

API · 1,050,000 context tokens

GPT-5.4 Mini

API · 400,000 context tokens

GPT-5.4 Pro

API · 1,050,000 context tokens

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
OpenAISource ↗
Family
GPTSource ↗
Version
gpt-rosalind-researchSource ↗
Availability
Listed by publisherSource ↗
Access
APISource ↗
Inputs
Not documented
Outputs
Not documented
Context window
Not documented
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Not documented
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Not documented
License
Not documented
Input price / 1M tokens
$5Source ↗
Output price / 1M tokens
$25Source ↗

Read this with the numbers.

Vendor catalog lists this specialized life-sciences reasoning model for approved organizations. Specs and date fields remain unverified.

USD per million input/output tokens in the life-sciences model table. Cached input is $0.50 per million; cache-write pricing does not apply. Regional data-residency pricing can differ. Access requires approval.

Model identifiers and aliases 0

No additional identifier has been verified.

Follow the evidence

Official sources.

  1. models — official OpenAI documentation ↗developers.openai.com
  2. pricing.md — official OpenAI documentation ↗developers.openai.com

From the Headless Thrones newsroom

Editorial about GPT-Rosalind

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

GPT-Rosalind

OpenAI · API

Inputs
Not documented
Outputs
Not documented
Context window
Not documented
Knowledge cutoff
Not documented

A place to begin comparing

0 models to consider.

Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

No candidate meets the documented access, input/output and context criteria. You can still choose models manually in the comparison tool.

A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

View the full coverage report and discovery sources ↗