Chat with ChatGPT-5.5 on Lorka AI: Agentic AI That Executes, Not Just Answers
Try GPT-5.5 and run complex workflows, write code, and operate tools autonomously inside Lorka AI’s unified workspace alongside top-tier AI models for faster, outcome-driven work.
The model is optimized for advanced reasoning, coding, multimodal understanding, and agentic workflows, enabling it to plan, use tools, and complete complex tasks efficiently with minimal guidance.
Use GPT-5.5 Online to Build, Debug, and Execute Workflows End-to-End
Chat with GPT-5.5 on Lorka to take advantage of the OpenAI model’s strong reasoning and execution capabilities for different types of coding work, writing, research, and more.
Agentic-first architecture
1.05M-token long-context reasoning
Stronger autonomous coding
Native computer-use
Self-checking execution
Professional task performance
GPT-5.5 Benchmarks: Real-Prompts and Strong Outputs
See how to use ChatGPT-5.5 with the following example prompts to understand how the model can run debugging tasks, financial analysis, and more.
You are connected to a Node.js repo. 1. Run tests 2. Identify failing tests 3. Fix the root issue 4. Re-run tests 5. Output the final diff
1$ npm test23FAIL tests/auth.test.js4✖ should validate JWT token56Error: invalid signature7--- a/src/auth.js8+++ b/src/auth.js9@@ -12,7 +12,7 @@ function verifyToken(token) {10- return jwt.verify(token, process.env.JWT_SECRET);11+ return jwt.verify(token, process.env.JWT_SECRET, { algorithms: ['HS256'] });12}13$ npm test1415PASS tests/auth.test.js16✔ All tests passed (32/32)Analyze the following 3 company 10-K excerpts (total ~250K tokens). Compare YoY operating cash flow trends and identify risks. Return: - Table summary - Key insights - Risk flags
| Company | 2024 OCF | 2025 OCF | YoY Change | |--------|----------|----------|------------| | A | $4.2B | $3.8B | -9.5% | | B | $2.1B | $2.6B | +23.8% | | C | $5.0B | $4.1B | -18.0% | Key Insights: - Company B shows strong operational efficiency improvements. - Companies A and C show declining cash flow despite revenue growth. Risk Flags: - Company C: rising capex + declining liquidity. - Company A: margin compression in core segments.
Research the top 5 AI pricing models (2026). Then: 1. Extract pricing structures 2. Build a comparison table 3. Recommend optimal pricing for SaaS startup
{ "comparison": [ {"model": "usage-based", "pros": "scalable", "cons": "unpredictable"}, {"model": "subscription", "pros": "predictable", "cons": "less flexible"}, {"model": "hybrid", "pros": "balanced", "cons": "complex billing"} ], "recommendation": "Hybrid pricing with base subscription + usage overage" }
Analyze these company reports and return a structured summary with trends, risks, and actionable recommendations.
### Key Trends - Revenue growth across all companies, but profitability diverges - Company B shows improving operating efficiency and margin expansion - Companies A and C face rising costs impacting net income ### Risk Assessment - **Company A:** Margin compression in core segments - **Company C:** Declining cash flow and increasing capital expenditures - **Market-wide:** Cost inflation and reduced pricing power ### Opportunities - Company B’s operational improvements suggest scalability potential - Cost optimization strategies could unlock margin recovery for A and C ### Strategic Recommendation Focus on companies with improving cash flow and operational efficiency (Company B). For underperformers (A, C), prioritize cost control and margin stabilization before growth investments.
GPT-5.5 on Lorka AI : Agentic Multi-Model Workflows
Try GPT-5.5 on an all-in-one AI platform to help you code, write, create, and more with different models in a single chat.
Access ChatGPT-5.5 and Top AI LLMs in One Chat
Chat with GPT-5.5 on Lorka AI alongside Claude Opus 4.7, Gemini 3.1, DeepSeek, and other leading models without switching tools or tabs.
Strong Execution for Complex Workflows
Run ChatGPT for coding, Gemini 3.1 for document analysis, and other tools for multi-step tasks with a workspace built for efficient AI conversations.
Run Agentic Workflows Without Extra Setup
Use ChatGPT-5.5 for multi-step tasks like coding, research, file analysis, and planning in a single optimized workspace without downloading extra software.
Privacy-First AI for Sensitive Work
Work with confidential documents, code, research, and business data in a secure AI workspace designed for professional use.
GPT-5.5 Tech Specs : Context Window, Agentic Capabilities, and Architecture
Model Type / Architecture
- Agentic-first LLM designed for execution, not just chat
- Built for coding, reasoning, and native computer-use workflows
Context Length & Modalities
- Supports up to 1.05M input tokens for large documents, datasets, and more
- Input: text and images
- Output: text, structured responses, and code
Core Strengths
- Performs well at long-context reasoning, autonomous coding, tool use, and workflow automation
- Best for tasks that need planning and follow-through
Agentic Capabilities
- Runs multi-step tool chains with built-in verification and self-correction
- Useful for autonomous workflows involving engineering and research
GPT-5.5 vs. GPT-5.4
- While GPT-5.4 has strong unified reasoning and coding, ChatGPT-5.5 moves further into agentic execution
- It is stronger for tool use, computer-use workflows, and real-world task completion
Reliability & Trade-offs
- High adherence to instruction and strong performance on benchmarks
- Requires validation for high-stakes tasks due to confident failure risk
How to Use GPT-5.5 as an Engineer, Product Lead, and More
Build and debug full features as a software engineer
Plan architecture, write code, run tests, and fix issues across large repositories with strong long-context reasoning.
Design and build a secure JWT authentication module for a Node.js SaaS app, including routes, schema, tests, and security notes.
"Analyze large business documents as a financial analyst
Review reports, filings, spreadsheets, and more to quickly find risks and trends and create decision-ready summaries.
Analyze these annual report excerpts and summarize revenue trends, cash flow risks, margin changes, and leadership questions.
"Automate market research as a strategy team
Turn scattered information into structured competitor insights, positioning opportunities, and practical next steps.
Research the AI workspace market and create a competitor brief with positioning gaps, pricing patterns, and messaging opportunities.
"Review detailed UI/UX designs as a product designer
Evaluate screenshots and product mockups for usability, accessibility, and conversion friction.
Review this app's onboarding flow and identify usability issues, accessibility gaps, CTA friction, and copy improvements.
"Create compliant documents as a legal or operations team
Draft structured, constraint-heavy policies, clauses, and internal documentation with consistent formatting.
Draft a GDPR-aligned vendor data processing addendum with EU residency, subprocessors, termination terms, and a $1M liability cap.
"Run autonomous QA workflows as an engineering team
Plan tests, inspect failures, reproduce bugs, and generate clear QA reports for product workflows.
Create a QA test plan for this checkout flow, covering core paths, edge cases, payment failures, accessibility, and regression checks.
"Turn raw notes into polished output as a knowledge worker
Convert meetings, messy notes, and research dumps into summaries, plans, briefs, or client-ready deliverables.
Turn these meeting notes into a clear action plan with decisions, owners, deadlines, risks, and a follow-up email.
"OpenAI GPT-5.5 vs. GPT-5.4 , Opus, and Other AI Models
In the table below, you can see how GPT-5.5 compares with other models on Lorka, highlighting the areas where each model is strongest.
| Models | Reasoning | Speed | Multimodality | Context | Ideal use cases |
|---|---|---|---|---|---|
GPT-5.5 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Ideal for high-entropy tool environments, executing autonomous agentic loops, guaranteeing precise constraint adherence, and conducting massive long-context document synthesis. |
GPT-5.4 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Multi-modal technical operations, autonomous procedural execution, sophisticated logical inference, and comprehensive text evaluation. |
GPT-5.3 Instant | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Economical text-based computation and widespread systemic embedding. |
Claude Opus 4.7 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Independent systems development and expert-level text review. It dominates sequential procedures, such as massive repository modifications, requiring zero manual oversight. |
Claude Sonnet 4.6 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Autonomous software development, rapid logical deduction, and comprehensive operating system navigation. |
Gemini 3.1 Flash-Lite | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Mass-scale processing tasks like information parsing and language localization. |
Gemini 3.1 Pro | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Immediate conversational support and premium-quality creative media generation. |
DeepSeek V3.2 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Quantitative and scientific workloads, high-speed logical deduction, and complex sequential platform navigation. |
Grok 4.1 | 💡💡💡💡💡 | ⚡⚡⚡⚡⚡ | 🤖🤖🤖🤖🤖 | 🧠🧠🧠🧠🧠 | Rapid evaluations, public sentiment tracking, and data-informed strategic planning. |
GPT-5.5
Ideal for high-entropy tool environments, executing autonomous agentic loops, guaranteeing precise constraint adherence, and conducting massive long-context document synthesis.
GPT-5.4
Multi-modal technical operations, autonomous procedural execution, sophisticated logical inference, and comprehensive text evaluation.
GPT-5.3 Instant
Economical text-based computation and widespread systemic embedding.
Claude Opus 4.7
Independent systems development and expert-level text review. It dominates sequential procedures, such as massive repository modifications, requiring zero manual oversight.
Claude Sonnet 4.6
Autonomous software development, rapid logical deduction, and comprehensive operating system navigation.
Gemini 3.1 Flash-Lite
Mass-scale processing tasks like information parsing and language localization.
Gemini 3.1 Pro
Immediate conversational support and premium-quality creative media generation.
DeepSeek V3.2
Quantitative and scientific workloads, high-speed logical deduction, and complex sequential platform navigation.
Grok 4.1
Rapid evaluations, public sentiment tracking, and data-informed strategic planning.
Strengths and Limitations of ChatGPT-5.5 and Other Leading LLMs
GPT-5.5
Built for long-horizon reasoning, autonomous workflows, and end-to-end task execution across coding and tool-based environments.
Higher compute and cost profile, with occasional confident errors that require verification layers for high-stakes outputs.
GPT-5.4
A powerful OpenAI model for tasks related to structured reasoning and self-directed workflows in engineering and research contexts.
Its design can slow down response times for simpler questions compared to more lightweight models.
GPT-5.3 Instant
Extremely fast and accessible, which gives you responsive outputs for everyday tasks and large-scale conversational use cases.
Prioritizes speed over depth, resulting in weaker performance on complex reasoning and long-horizon tasks compared to models like GPT-5.4 and 5.5.
Claude Opus 4.7
Excels in extended reasoning, autonomous coding, visual understanding, and reliable self-validation across complex, multi-step workflows.
The Mythos version still surpasses it at the absolute frontier and is limited to more controlled, high-risk deployments.
Claude Opus 4.6
A flagship-level model optimized for deep reasoning and accurate information retrieval across large-scale document and code contexts.
Its more methodical approach can introduce latency, making it slower than Sonnet for simpler or time-sensitive tasks.
Claude Sonnet 4.6
Fast and efficient with strong coding and autonomous capabilities, supported by a 1M-token context window for handling large tasks.
Falls behind Opus 4.7 on highly complex reasoning, especially for demanding scenarios like large-scale refactoring or critical systems work.
Gemini 3.1 Pro
A production-grade model known for advanced reasoning, abstract problem-solving, and reliable agentic workflows with a stable 1M-token context window.
Despite strong benchmark performance, it lags behind Opus 4.7 in GUI interaction and in specialized domains such as finance and legal analysis.
DeepSeek V3.2
A competitive open-weight model delivering strong reasoning and coding capabilities comparable to recent GPT-class systems.
Still behind leading closed models in knowledge coverage, ecosystem maturity, and integration capabilities.
Grok 4.1
Performs well in real-time analysis, sentiment interpretation, and fast reasoning for troubleshooting and general tasks.
Its ecosystem is still evolving, and multimodal performance can vary depending on the specific use case.
How to Use ChatGPT-5.5 on Lorka
Try GPT-5.5 on Lorka’s multi-model AI platform by following the steps below:
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GPT-5.5 FAQs
You can try GPT-5.5 directly in the Lorka AI chat. Just choose it in the model selector. No software installation or download is needed, and no API is required. Simply select the model and start using it immediately.