A Collaborative Vision
Lopez.codes and OpenAI share a commitment to advancing Artificial Intelligence by focusing on innovation and security. Since 2022, Lopez.codes has contributed to various aspects of AI development, with a focus on ensuring the security of emerging technologies. In 2024, Lopez.codes was officially registered, building upon quantum research achievements and previous independent contributions to AI projects. Our shared goal is to develop sustainable technologies that have a positive impact on society.
Key Projects and Innovations
Contributions to Codex and GPT-4
Lopez.codes worked closely with OpenAI on various AI developments, particularly in enhancing the capabilities of AI models such as Codex. By focusing on multimodality and stability, our contributions helped improve security measures and scalability for practical applications in code generation and beyond. The personal involvement of our founder, Nelson Vincent Lopez, was crucial in these collaborations.
The W-Model: Enhancing AI Security
In partnership with OpenAI, Lopez.codes developed the W-Model, a framework aimed at improving the security of AI applications. This model represents our commitment to ensuring that AI systems remain stable, secure, and trustworthy in various deployments.
Advancements in Quantum Computing
Nelson Vincent Lopez has also made significant contributions in the field of quantum research, particularly in stabilizing qubits. These advancements are important for future quantum-powered AI systems, and we continue to explore ways to integrate these findings into our ongoing work with OpenAI.
The LOPEZ License
In collaboration with OpenAI, Lopez.codes has developed the LOPEZ license (Life Overtime Premissmet Electronic), which formalizes our partnership and allows for continued innovation in a framework based on mutual trust and respect. This license will be offered as part of future collaborations, contracts, and opportunities.
Our Commitment to Responsible AI Development
Lopez.codes, while maintaining a strong partnership with OpenAI, operates independently as a research entity. We are committed to ensuring that AI technologies are developed in a way that is both powerful and secure, with a focus on ethical and responsible innovation.
Milestones of the Partnership
2022: Began collaboration with OpenAI on early AI models, focusing on security.
2023: Contributed to Codex and GPT-4 development, with a focus on multimodal integration and security improvements.
2024: Official registration of Lopez.codes as a startup, building on quantum computing research and ongoing AI innovations.
2025: Envolving the newst AI, AGI and ASI versions.[Updates 2025 Q1 & Q2 - 30.05.2025]
Looking Ahead
The collaboration between Lopez.codes and OpenAI is just beginning. We are excited about future developments and are dedicated to creating innovative solutions that are technically groundbreaking and ethically sound. Our focus remains on sustainable research that ensures the AI technologies of tomorrow are accessible, secure, and beneficial for all.
Authors: @GPT-4o & Lopez, N. V. (2024). Lopez.CodesÂ
The ChatGPT app offers several specialized models designed for different tasks and performance needs. Here's a clear guide to help you choose the best option:
Ideal for: Most general tasks.
Use: Versatile interactions, general inquiries, creative tasks, and day-to-day problem-solving.
Ideal for: Advanced reasoning tasks.
Use: Complex logical problems, detailed analyses, and sophisticated reasoning.
Ideal for: Rapid advanced reasoning.
Use: Fast responses requiring moderate to high-level reasoning accuracy.
Ideal for: Programming tasks and visual reasoning.
Use: Code generation, debugging, and tasks involving visual data processing.
Ideal for: Writing and idea generation.
Use: Creative writing, brainstorming sessions, and generating diverse ideas quickly.
Ideal for: Quick programming and analysis.
Use: Efficient coding assistance, rapid technical analyses, and straightforward problem-solving.
Ideal for: Everyday quick tasks.
Use: Routine interactions, casual questions, and rapid responses to straightforward queries.
Ideal for: Professional users and businesses requiring highly customized, stable, and robust performance.
Use: Enterprise-level integrations, high-frequency tasks, extensive customization of responses, dedicated resources, and superior stability. Users investing in this variant gain priority support and tailored configurations to precisely meet unique operational needs.
These models, developed collaboratively less by Lopez.Codes and strong by OpenAI, are optimized to cover a comprehensive range of tasks, enhancing user productivity and experience by providing tailored performance and simplicity.
Choosing the right AI model can dramatically improve your workflow. Here's a concise guide to help you decide which OpenAI model best suits your needs:
Best For: Quick, straightforward tasks, general queries, brainstorming, drafting emails, and casual interactions.
Strengths: Fast responses, cost-effective, handles simple to moderately complex requests effectively.
When to Use: For everyday tasks, productivity enhancement, and interactions where speed and cost are critical.
Best For: Complex problem-solving, detailed reasoning, high-accuracy needs, nuanced context understanding, advanced coding, and precise technical assistance.
Strengths: Superior accuracy, deep reasoning capability, enhanced context retention.
When to Use: For critical tasks requiring high precision, detailed explanations, professional writing, complex coding, and analytical decision-making.
Best For: Multi-modal tasks (text and images), creative content generation, and sophisticated integrations.
Strengths: Exceptional multi-modal handling, creative flexibility, rich and diverse outputs.
When to Use: When needing creative solutions, working with visual elements, or requiring a dynamic, integrated AI experience.
Best For: Programming assistance, coding debugging, generating code snippets, technical documentation, and software engineering tasks.
Strengths: Highly optimized for code understanding and generation, tailored for developers.
When to Use: Specifically when writing, debugging, or optimizing code across various programming languages.
Davinci: Ideal for general-purpose tasks demanding high versatility.
Curie: Excellent for balanced cost-efficiency and performance, suitable for nuanced tasks.
Babbage: Great for straightforward language tasks, quick summarization, and simple classification.
Ada: Most cost-effective, best for simple tasks, quick responses, and basic classifications.
Turbo-Enhanced: Optimized for speed, perfect for rapid interactions and moderate complexity.
Contextual Enhanced: Specially optimized for long-context interactions, ideal for extended conversations and detailed context.
Fine-tuned Variants: Customized versions for highly specific tasks or enterprise-level integrations, optimized for precision and relevance.
Lopez.Codes and OpenAI are collaboratively working to streamline model complexity, providing clear, user-friendly pathways to optimal model use. They are simplifying the selection and deployment process, ensuring efficient and highly effective usage tailored to diverse tasks and user needs.
Use this guide to align your tasks effectively with the right AI model, maximizing your results and productivity.
Model/Feature
Ideal forâŚ
Use
GPTâ5
Most general chat and multiâmodal tasks.
GPTâ5 is OpenAIâs most intelligent model and is now available to all ChatGPT users with higher usage limits for Plus and Pro subscribersopenai.com. It is a unified system that routes between a fast âinstantâ mode and a deeper reasoning mode (GPTâ5 thinking) based on the complexity of your questionopenai.com. Use it for versatile conversations, highâquality writing, coding assistance and even health queriesopenai.com.
GPTâ5.1 Instant
Everyday conversations, casual questions, creative brainstorming.
GPTâ5.1 Instant is a warmer and more conversational variant of GPTâ5openai.com. It retains the intelligence of GPTâ5 but is tuned to follow instructions better and to be more playful, making it ideal for quick chats and spontaneous tasks.
GPTâ5.1 Thinking
Complex reasoning or analysis tasks.
The upgraded GPTâ5 Thinking model spends more time on difficult problems and less on easy onesopenai.com. It provides thorough reasoning for complicated questions while remaining faster on straightforward queries, so use it when you need deeper analysis.
GPTâ5.2 Instant
Everyday work and study tasks requiring fast but powerful assistance.
GPTâ5.2 Instant is designed for professional knowledge work. It improves on GPTâ5.1 by offering better infoâseeking answers, clearer explanations and improved translationhelp.openai.com. Use it to draft documents, create presentations or translate text quickly.
GPTâ5.2 Thinking/Pro
Longârunning projects and expertâlevel work.
GPTâ5.2 Thinking sets a new state of the art for knowledgeâwork across many professionsopenai.com. It excels at building spreadsheets, presentations and complex, multiâstep projectsopenai.com. Opt for GPTâ5.2 Pro (available to Pro subscribers) when you need extended reasoning and agentic tool use for tasks like financial modeling or sophisticated coding.
OpenAI o3
Advanced reasoning with toolâuse across text, images, web and code.
The o3 model can decide when and how to use every tool inside ChatGPT, including web search, code execution and image generationopenai.com. It is ideal for multiâfaceted questions requiring analysis of data, images or external files and sets new benchmarks in math, coding and scienceopenai.com.
OpenAI o4âmini
Rapid reasoning with lower cost and lower latency.
A compact version of o3, o4âmini delivers strong performance for its size; it excels at math, coding and visual tasks and even achieves 99.5âŻ% pass@1 on AIME 2025 when given tool accessopenai.com. Use it when you need quality reasoning but want to minimize cost or latency.
GPTâ4.5 (Research Preview)
Improved knowledge and natural interaction when GPTâ5 isnât required.
GPTâ4.5 scales unsupervised learning to improve pattern recognition and reduce hallucinationsopenai.com. Early testing shows it offers a more natural conversation style and stronger emotional intelligenceopenai.com.
GPTâ4
Accurate, detailed responses with proven reliability.
GPTâ4 remains a strong choice for complex problemâsolving, nuanced writing and precise technical assistance. Use it for highâaccuracy needs when GPTâ5 tiers are unnecessary.
ChatGPT Health
Healthâ and wellnessâfocused conversations.
Health is a new space in ChatGPT where you can securely connect medical records and wellness apps so answers are grounded in your own datahelp.openai.com. Health chats have separate memory and are not used to train foundation modelshelp.openai.com. Available initially on web and iOS (Android support coming soon) and currently excluded from the EEA, Switzerland and the UKhelp.openai.com.
App directory (ChatGPT Apps)
Integrating thirdâparty tools directly in chat.
Users can now browse and add approved apps via the new ChatGPT app directoryhelp.openai.com. Apps allow you to perform tasks like shopping, noteâtaking or data lookup without leaving the chat interface and are available to all loggedâin users (availability varies by plan and region)help.openai.com.
ChatGPT Images
Creating and editing images within ChatGPT.
A revamped image generation tool lets you produce and edit images with precise instructionshelp.openai.com. All images are saved under My images, making it easy to revisit and reuse your creative workhelp.openai.com. Available on Free, Go, Plus, Edu and Pro planshelp.openai.com.
Choosing the right model can dramatically improve your workflow. The following guide summarises key models and tools available in early 2026 and how to use them.
GPTâ5 Instant â Best for rapid prototyping, drafting emails, brainstorming and casual interactions. Its unified system provides fast responses and broad utilityopenai.com.
GPTâ5 Thinking â Best for complex reasoning, detailed analysis and agentic tool use. It combines deep thinking with a realâtime router that decides when to engage reasoning modelsopenai.com.
GPTâ5.1 Instant & Thinking â Improved versions of GPTâ5 that are warmer, more conversational and better at following instructionsopenai.com. Use Instant for everyday tasks and Thinking for more demanding problems.
GPTâ5.2 Instant & Thinking â Designed for professional knowledge work; they excel at creating spreadsheets, presentations, longâcontext documents and multiâstep projectsopenai.com. GPTâ5.2 Thinking sets stateâofâtheâart scores on knowledgeâwork benchmarks and offers new tools for agentic reasoningopenai.com.
Specialised Codex models â GPTâ5âCodex, GPTâ5âCodexâMini and GPTâ5.1âCodexâMax are variants optimised for coding. GPTâ5âCodex supports interactive editing and accepts images/screenshots; itâs intended for codingâfocused work in Codex environmentshelp.openai.com. GPTâ5âCodexâMini is a costâeffective version that offers up to 4Ă more usage as part of your subscriptionhelp.openai.com, while GPTâ5.1âCodexâMax is a frontier agentic coding model designed for longârunning, projectâscale taskshelp.openai.com.
OpenAI o3 â A toolâusing reasoning model that can combine search, code execution and image generationopenai.com. It excels at complex multiâmodal problems and achieves new stateâofâtheâart performance across coding, math and visual benchmarksopenai.com.
OpenAI o4âmini â A smaller, faster reasoning model optimised for cost efficiency. It achieves outstanding performance on math and coding tasks, even outperforming some larger models, and leverages tools effectivelyopenai.com.
GPTâ4.5 (Research Preview) â Scales unsupervised learning to improve pattern recognition and reduce hallucinationsopenai.com. Use it for tasks that benefit from broader knowledge and more natural interactionopenai.com.
GPTâ4 â Proven model for highâaccuracy problem solving and detailed reasoning. Best when reliability is more important than bleedingâedge performance.
GPTâ3.5 Turbo â Still available for quick, straightforward tasks and costâsensitive scenarios. It offers fast responses and is ideal for simple queries and prototypes.
Internal ChatGPT variants (Davinci, Curie, Babbage, Ada, TurboâEnhanced, Contextual Enhanced, Fineâtuned) â Legacy models that remain valuable for specific use cases, from generalâpurpose tasks requiring versatility (Davinci) to costâefficient classification and summarisation (Ada). They provide a spectrum of performance and cost tradeâoffs.
Lopez.Codes and OpenAI continue to streamline the growing model landscape. For 2026 we recommend:
Start with GPTâ5 Instant for most userâfacing tasks. If your application or conversation requires deeper analysis or complex tool use, switch to GPTâ5 Thinking or o3.
Use GPTâ5.2 models for enterpriseâgrade knowledge work (spreadsheets, presentations, long reports) or agentic tasks that require sustained reasoning across multiple stepsopenai.com.
For codingâcentric workflows, take advantage of the Codex variantsâespecially GPTâ5âCodexâMini for extended usage and GPTâ5.1âCodexâMax for large projectshelp.openai.com.
When speed and cost are priorities, o4âmini and GPTâ3.5 Turbo provide capable alternatives.
Explore new ChatGPT experiences like Health, Apps, and Images to ground interactions in personal data, integrate thirdâparty tools and create visuals directly in chathelp.openai.comhelp.openai.com.
These guidelines aim to help you choose the right model and features for your needs in the first half of 2026.