New: Thinking Mode

The Chat Is Over.
The Work Begins.

Access the raw power of GPT-5.2 "Thinking"—OpenAI's newest model family explicitly designed for professional knowledge work.

GPT-5.2 is not just a smarter chatbot. It's a model family trained via reinforcement learning to "think before it answers"—to pause, plan multi-step strategies, and refine its approach before outputting a single word of your deliverable.

Start GPT-5.2 (Free) Watch Demo

Powered by GPT-5.2 API • 400,000 Token Context • Knowledge Cutoff: August 2025

Standard Chat
Build a P&L model...
Sure, here is a general idea...
> GPT-5.2 WORKSPACE: FINANCIAL_MODEL_Q3.XLSX
$ GPT-5.2 Generating Income Statement... [OK]
$ Checking Balance Sheet footing... [OK]
$ Verifying Cash Flow vs Net Income... [PASS]
$ Exporting to .xlsx...
-38%

GPT-5.2 has fewer hallucinations on factual benchmarks compared to GPT-5.1

70.9%

GPT-5.2 achieves expert-level performance on GDPval across 44 occupations

+9.3%

GPT-5.2 accuracy gain in junior investment banking spreadsheet modeling

>11×

GPT-5.2 is faster than manual work when paired with human oversight

See GPT-5.2 In Action

Don't take our word for it. Watch third-party evaluations showing GPT-5.2 handling Excel, PowerPoint, massive datasets, competitive benchmarks, and enterprise multi-document workflows.

Excel, PowerPoint & Big Data Test
Duration: ~15 min • Comprehensive test covering real office workflows: spreadsheet formula generation, PowerPoint slide creation, and massive dataset processing.
GPT 5.2 vs Gemini 3 Pro vs Claude 4.5
Duration: ~20 min • Head-to-head comparison featuring a Workforce Planning Spreadsheet Test—see which model handles complex nested formulas and business logic best.
GPT 5.2 + Box AI: Multi-Document Extraction
Duration: ~10 min • Enterprise workflow demonstration: structured data extraction, normalization, and side-by-side comparison of complex legal/financial documents.

How GPT-5.2 Works

Three steps from messy input to verified deliverable. No prompt engineering required.

1

Ingest

Drag and drop source materials for GPT-5.2 to analyze.

  • PDFs, CSVs, Excel, Word, Code
  • Images (charts, dashboards)
  • Up to 400,000 tokens of context

Vision: Upload screenshots of dashboards. GPT-5.2 can extract data points into structured tables.

2

Think

Select a pre-built GPT-5.2 workflow or describe your task.

  • "Financial Model" — cross-footing checks
  • "Contract Extraction" — page citations
  • "Launch Campaign" — copy + SEO table
  • "Code Refactor" — diff + unit tests

Compaction: For long workflows, we compress prior context to keep the model on track.

3

Deliver

Download your GPT-5.2 artifact. Not a chat bubble.

  • .xlsx / .csv for models & data
  • .docx / .md for memos & copy
  • .diff / .py / .ts for code changes
  • .pdf for polished reports

The GPT-5.2 Model Family

GPT-5.2 is delivered as three distinct modes, each optimized for different latency/quality tradeoffs.

GPT-5.2 Instant

Best for: Fast, everyday GPT-5.2 tasks—quick Q&A, translation, simple how-tos, email drafts.

Tradeoff: Speed over depth. Lower reasoning effort.

Default

GPT-5.2 Thinking

Best for: Complex, multi-step work—coding, spreadsheet modeling, long-document analysis, slide outlines.

Tradeoff: Pauses to "plan" before answering. Higher accuracy. May take longer.

GPT-5.2 Pro

Best for: "Research-grade" synthesis—deep academic comparisons, nuanced policy analysis.

Tradeoff: Highest quality, but no Canvas or image generation. Limited availability.

What we do differently: Most chat interfaces default to "Instant" to prioritize speed. We force "Thinking" and "Pro" modes by default, ensuring every GPT-5.2 interaction is deep. We expose the reasoning.effort parameter (including the new xhigh level) to ensure your most critical tasks get the deepest analysis available.

A note on "feel": Users describe GPT-5.2's Thinking mode as "colder" and "more sterile" than previous models. This is intentional. OpenAI has tuned this family for accuracy over agreeableness—it's less likely to "confidently lie" to please you.

"It feels less like a creative writer and more like a rigorous analyst—which is exactly what I needed for my board report."

— Strategy Director, Fintech (Series B)

Real Work Scenarios with GPT-5.2

Below, we break down specific GPT-5.2 tasks by role. For each, we describe: who you are, the exact scenario, your input, the deliverable, and how good it actually is. No hype—just honest capability mapping.

🧮 Financial Analyst / FP&A
📈 Growth & Marketing Lead
⚖️ Legal & Procurement
👔 Executive / Founder
🖥️ Operations Manager
📊 Data Analyst / BI

GPT-5.2 For The Financial Analyst

Empower your finance workflows with GPT-5.2. Build models, maintain forecasts, and verify accuracy.

Task Your Input GPT-5.2 Deliverable Quality
Build 3-Statement Model Historical P&L PDFs + Assumptions Fully linked .xlsx (Income, Balance, Cash Flow) with cross-foot checks High
Workforce Planning Spreadsheet Headcount data, salary bands, projections Cohort staffing model with burn rate and sensitivity toggles High
Cohort Analysis Table Raw transaction log CSV Pivot-ready retention table by signup month High
KPI Dashboard Data Prep Dashboard screenshots + metric definitions Structured CSV with extracted metrics Med-High
Variance Analysis Report Actuals vs Budget spreadsheets Memo explaining significant variances Medium

"I stopped double-checking every formula. The cross-foot validations are built into the output. That alone saves me 2 hours a week."

— FP&A Analyst, Healthcare

GPT-5.2 For The Growth Lead

Deploy GPT-5.2 to launch campaigns, write copy, and strategize SEO with consistent brand voice.

Task Your Input The Deliverable Quality
Product Launch Package PRD + brand guidelines + competitor URL landing_page_copy.md, email_sequence.md, seo_keywords.csv High
SEO Keyword Research Product description + target audience Categorized keyword table with difficulty scores Med-High
Landing Page Copy Feature list + value props + persona Complete page structure (Hero, Features, FAQ) High
Email Sequence Customer journey stages + key CTAs 5-email sequence with subject lines and CTAs High
Meeting Notes → Blog Post Raw transcript or notes Polished 800-word blog with meta description Med-High

"The 'Thinking' pause gives me confidence. I can see it planning the structure before writing a single headline."

— Head of Growth, B2B SaaS

GPT-5.2 For Legal & Procurement

Let GPT-5.2 review contracts, manage vendor risk, and ensure policy compliance.

Task Your Input The Deliverable Quality
Multi-Contract Comparison 10+ vendor MSAs (PDFs) + policy checklist comparison_matrix.csv with page citations + risk_memo.docx High
Missing Clause Check Contracts + required clause checklist Flagged list with suggested insertion points High
Summarize 50-Page Contract Single long-form agreement 2-page exec summary (Parties, Term, Obligations, Risks) High
Policy Compliance Check Internal policy + procedure doc Checklist showing compliance and deviations Med-High
Data Room Scan 50 PDF documents from data room Structured index: Name, Type, Key Dates, Red Flags Med-High

Real-World Validation: Box, a major enterprise content platform, publicly describes using GPT-5.2 capabilities for loan document analysis and multi-document comparison tables.

GPT-5.2 For Executives

Use GPT-5.2 to synthesize meetings and make data-driven decisions faster.

Task Your Input The Deliverable Quality
Investor Meeting Synthesis 5 meeting transcripts + focus directive synthesis_memo.docx (Themes, Quotes, Actions) High
Board Deck Narrative KPIs + strategic priorities + notes Narrative outline (Situation, Challenges, Progress) Med-High
Decision Log from Slack Exported Slack thread or email chain Structured table: Decision, Date, Owner, Context High
Strategy Memo from Research 3-5 industry reports or analyst PDFs 3-page memo comparing market perspectives High
Weekly Update Email Bullet-point notes on team progress Polished 3-paragraph email for board/investors High

The Value: Skip the "blank page anxiety." Input is messy. Output is a professional first draft, ready for your final review.

GPT-5.2 For Operations

Scale your processes and playbooks with GPT-5.2 automation.

Task Your Input The Deliverable Quality
Write SOP Process description + key steps Formatted SOP with numbered steps and owners High
Incident Runbook Past incident notes + escalation flow Step-by-step runbook in Markdown High
Ticket Triage & Draft Reply Support ticket + knowledge base Triage category, confidence, draft reply, next action High
Build QBR Template Company QBR structure + sample data Slide outline + speaker notes Med-High
Onboarding Checklist Role description + tools + norms Day-1-to-day-90 checklist table High

GPT-5.2 For Data Analysts

Accelerate SQL writing and data interpretation with GPT-5.2.

Task Your Input The Deliverable Quality
Write Complex SQL Schema description + question Working SQL query with inline comments High
Interpret Dashboard Screenshot Screenshot of BI dashboard Written explanation: trends, anomalies Med-High
Create Data Dictionary Database schema or CSV headers Formatted table: Column, Type, Description, Example High
Explain Finding to Stakeholder Analysis output + target audience 1-pager summary in plain English High

GPT-5.2 Workspace vs. Standard ChatGPT

We love ChatGPT. But GPT-5.2 is built for work. If your job requires consistent, high-stakes, verifiable output, you need a layer on top.

Feature Standard ChatGPT Our GPT-5.2 Workspace
Default Model Mode Often "Auto" or "Instant" ✓ Forced "Thinking" & "Pro"
Reasoning Effort Not user-controllable ✓ Exposed (low to xhigh)
Context Window Varies by tier (32k-196k) ✓ Full 400k Token Access
Long-Task Management Context can "drift" ✓ Compaction enabled
Output Format Text in a chat bubble ✓ Native Files (.csv, .docx, .xlsx)
Data Retention May use chats for training ✓ Zero-Retention Policy
Vision Basic image analysis ✓ Deep data extraction

GPT-5.2 Technical Specifications

Base Model gpt-5.2 (Thinking / Pro)
Context Window 400,000 Tokens
Max Output Tokens 128,000 Tokens
Knowledge Cutoff August 31, 2025
Input Modalities Text + Image (Vision)
Output Modalities Text only (no image/audio/video generation)
Reasoning Effort none, low, medium, high, xhigh
Long-Context Mgmt Compaction (server-side compression)
Latency Sub-100ms standard; Thinking takes longer
Data Privacy Zero-Retention Policy (API Default)

GPT-5.2 Frequently Asked Questions

Getting Started

Do I need my own OpenAI API key? +
No. We provide fully managed access to the GPT-5.2 "Thinking" and "Pro" models. You sign up and start working immediately. We handle all API key management, token budgeting, and context window optimization.
What if I already have a ChatGPT Plus/Pro subscription? +
Great! But note that even paid ChatGPT tiers often default to "Instant" mode and have lower context limits (e.g., 32k for Instant, 196k for Thinking/Pro in ChatGPT Business). Our workspace forces maximum capability and provides structured output formats that ChatGPT's chat interface cannot.

Capabilities

What is GPT-5.2 "Thinking" mode and why does it matter? +
"Thinking" is GPT-5.2's deep reasoning mode. Unlike "Instant" which prioritizes fast responses, Thinking is trained via reinforcement learning to pause, plan its approach, outline steps, and verify logic before answering. This results in significantly fewer errors on complex tasks like coding, financial modeling, and multi-document analysis.
What does "xhigh" reasoning effort mean? +
It's the maximum reasoning intensity available in the GPT-5.2 API. OpenAI uses this setting for internal benchmarks. We expose it for your most critical tasks—when accuracy matters more than speed.
How does GPT-5.2 "Compaction" work? +
For very long tasks (e.g., analyzing a 200-page document set), the conversation history can exceed even 400k tokens. Compaction is a server-side feature that compresses prior context into an encrypted, information-dense state, allowing the model to "continue working" without losing critical task details.
What is the GPT-5.2 knowledge cutoff? +
August 31, 2025. The model's training data is current up to this date.
Can GPT-5.2 analyze images? Can it generate images? +
Analyze (Yes): Upload screenshots of dashboards, charts, or even handwritten notes. GPT-5.2's Vision capability can extract data and describe content.
Generate (No): GPT-5.2 is a text-output model. It does not generate images.

Data & Privacy

Is my data safe? Will it be used for training? +
Your data is safe. We use the OpenAI API, which by default does not use your data for training. This is different from the consumer ChatGPT product, where chat history may be used unless you opt out. With our platform, your uploads and outputs are isolated and never shared.
Are you SOC2 compliant? +
We are pursuing SOC2 Type II certification. Enterprise customers can request a detailed security questionnaire.

Experience

Why does GPT-5.2 sometimes feel "cold"? +
This is by design. GPT-5.2 is optimized for accuracy over personality ("agreeableness"). It prioritizes being a rigorous analyst over being a conversational friend. For professional work where precision is paramount, this is a feature: the model is less likely to "confidently lie" to please you.
What if the GPT-5.2 output is wrong? +
No AI is perfect. "38% fewer hallucinations" is not "zero hallucinations." We always recommend human review for high-stakes decisions, especially in legal, medical, and financial contexts. Our platform is designed to make that review faster by providing structured, citable outputs—not to replace your judgment.