5.5
GPT-5.5 reasoning and execution foundation
Better at handling messy but real research requests, from question decomposition, source retrieval, and evidence comparison to tables, reports, web pages, and visual assets.
Nobel Agent New VersionXue Lab Agent
Nobel Agent
Got it. Preparing a promo visual and a browsable update page for the new version.
Xue Lab OpenClaw Agent Update
Nobel has upgraded to GPT-5.5
This update moves the Xue Lab OpenClaw agent from a helper that answers questions toward a research partner that can actively advance work: clearer task decomposition, steadier tool coordination, smoother early-stage scientific scouting, and built-in GPT-Image-2 support for research figures, report illustrations, and mobile-readable cards.
This update focuses on three core upgrades
This release turns several high-friction lab workflows into executable capabilities, spanning the model foundation, image generation, and mobile-readable presentation.
IMG
Built-in GPT-Image-2 generation
Can generate retina science visuals, mechanism diagrams, talk covers, web hero images, and data-card illustrations directly for lab workflows.
M
Mobile card-table optimization
Optimizes headers, type size, column width, spacing, and wrapping for three-column tables, gene cards, and research-window summaries on phones.
GPT-5.5 in Nobel
Stronger task execution through steadier reasoning and tool coordination
In Nobel, GPT-5.5 shows up as fewer prompt patches, steadier multi-step execution, better context carryover, and stronger coordination across code, web pages, documents, charts, and source material.
Complex task decomposition
Can turn “research this RP gene and make it into a presentation page” into retrieval, evidence filtering, structured summaries, image generation, layout, and browser checks.
Early-stage scientific scouting
Designed for hypothesis scouting across genes, phenotypes, OCT windows, population differences, animal models, and possible mechanisms.
Agentic coding
Writes pages, edits scripts, runs checks, fixes layouts, and cleans assets so ideas become usable files that can be opened, reused, and iterated.
Multimodal communication
Reads images, uses images, generates images, and places them into pages or reports so results are easier to understand in lab meetings and collaborations.
Official benchmarks: GPT-5.5 compared with frontier models
The scores below are organized from OpenAI's official GPT-5.5 launch page. Each benchmark is shown as a percentage-style score; longer bars indicate higher performance.
Data source: OpenAI official GPT-5.5 launch page. A dash indicates that the official table did not list a score for that model.
GPT-5.5
GPT-5.4
Claude Opus 4.7
Gemini 3.1 Pro
Terminal-Bench 2.0Terminal task execution
GDPvalReal-world professional tasks
OSWorldComputer-use tasks
BrowseCompWeb browsing and reasoning
FrontierMath T1-3Mathematical reasoning
FrontierMath T4Advanced mathematical reasoning
CyberGymCybersecurity tasks
ToolathlonTool-use capability
Built-in GPT-Image-2: from research text to usable visuals
The two examples below are research visuals generated for and used directly in this page. In real workflows, Nobel can pass paper points, mechanism hypotheses, meeting style, and page placement into the image-generation step together.
Research evidence convergence visual
Combines cohorts, OCT, genes, literature, and hypotheses into one visual, suitable for web sections or lab-meeting transition slides.
Example prompt: create a retinal disease research workflow visual where patient cards, OCT tiles, gene variant chips, and literature evidence flow into a glowing retinal cross-section.
Retina science illustration
Explains the relationship between cones, rods, neural layers, and data particles, suitable for report covers, web hero sections, or science communication.
Example prompt: create a non-photorealistic retinal cell landscape showing photoreceptors, cone cells, neural layers, and data streams.
Mobile Card Table Readability
New: card tables are easier to read on mobile
This screenshot captures a common problem: fitting a three-column table into a mobile card is only the first step. Readers still need to identify the gene, cohort or model, and cone-research window within a few seconds. Nobel now prioritizes mobile-first restructuring for this kind of table.
1
Use high-contrast headers while controlling radius and padding so the title area does not squeeze the content.
2
Keep gene-name columns stable, allow explanatory columns to wrap naturally, and split long judgments into shorter phrases.
3
Use subtle row grouping and clearer spacing so entities such as USH2A, RPGR, and RPE65 remain easy to scan.
4
When needed, convert a three-column table into one compact card per gene while preserving the table semantics.
Recommended Nobel workflow for the lab
After this upgrade, Nobel is best treated as a research-action orchestrator: it receives a question, advances evidence organization, and turns outputs into pages, charts, cards, and reports.
Research question intake
Start with a gene, disease, phenotype, cohort, or research window; Nobel first defines task boundaries and evidence types.
Evidence organization
Convert literature, databases, clinical windows, and experimental models into comparable structured cards.
Visual and text generation
Use GPT-Image-2 to generate mechanism diagrams, science visuals, and page illustrations, then pair them with the written structure.
Web and mobile delivery
Deliver openable pages and check both desktop and mobile views, with special attention to tables, cards, and long text blocks.
References and notes
The Nobel capability descriptions on this page are based on the Xuelab Agent update request; model information refers to OpenAI's official pages.
- OpenAI: Introducing GPT-5.5, published on 2026-04-23. Benchmark values on this page are taken from the official model-comparison tables.
- OpenAI API: GPT Image 2 model, describing GPT Image 2 as a fast, high-quality image generation and editing model with flexible sizing and high-fidelity image inputs.
- Deep-research capability descriptions are folded into Nobel's GPT-5.5 workflow upgrade so the page stays focused on one agent release.