OpenAI GPT-5 is the new version of GPT, already available on GPTunneL in three variants: gpt-5, gpt-5 mini, and gpt-5 nano. It's the biggest update in recent years, focused on multimodality and improved generation quality. The model significantly changes the rules of the game in the AI industry.
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Quick overview of GPT-5
OpenAI developed GPT-5 as an evolution of the lineup, shifting the focus toward agentic tasks, control over reasoning depth, and multimodal input. At launch, the model is already integrated into the web version, mobile apps, and enterprise plans.
Compared to previous versions such as GPT-4o, the GPT-5 release stands out for its improved prompt-handling logic, support for extended reasoning, and increased resistance to "hallucinations." This makes the model useful for complex automation and analytics.
Key highlights of the release:
- GPT-5 multimodality: text + vision;
- Enhanced structured reasoning: the model justifies its answers and shows its thought process;
- Expanded GPT-5 context window of up to 272K tokens for output and 128K tokens for reasoning;
- Improved results on coding benchmarks;
- Access to GPT-5 across all major ChatGPT plans.
Technical features and improvements
Architectural details haven't been disclosed, but it's known the model is scaled for long reasoning chains. A new reasoning_effort parameter lets you balance speed and depth of response, while verbosity controls its length.
In the API, GPT-5 supports three sizes: gpt-5, gpt-5-mini, and gpt-5-nano. These models are available on GPTunneL. They differ in cost, inference speed, and reasoning quality, which simplifies integration for different budgets and tasks.
GPT-5 multimodality is reflected in support for text and visual input in the API. ChatGPT has also gained improvements to voice mode and native connectors with Gmail and Google Calendar, expanding no-code use cases.
The context window became a key change: the model now processes up to 272K tokens of input and 128K of output. This enables RAG scenarios, integration with large knowledge bases, and full processing of long documents.
Access, pricing, and integrations
In official ChatGPT, GPT-5 is available on the Free, Plus, Pro, and Team plans. Limits depend on the plan: Plus is for active individual use, while Pro and Team come with higher quotas and the option of unlimited requests under fair-use policy.
On GPTunneL, three models are available: gpt-5, gpt-5-mini, and gpt-5-nano. Each supports responses directly in chat, reasoning, and the ability to process files, images, and long prompts. You can check the cost per 1M tokens on the pricing page. You can also embed the model into a personal assistant, a Telegram bot, or your own application via our API.
How to connect GPT-5 for business:
- Create or log in to an OpenAI account.
- Connect the API and choose the right model.
- Configure quotas and limits.
- Integrate the model into your product or service.
Applications and early demonstrations
GPT-5 is already being used to generate analytical reports, automate search, and build conversational agents. In coding, the model shows an improvement to 74.9% on SWE-bench Verified and is preferred by developers for frontend tasks.
In agentic scenarios, GPT-5 handles longer chains of tool calls better, reduces errors in intermediate steps, and supports parallel API calls. This makes it easier to automate business processes with minimal human involvement.
Limitations and safety
While GPT-5's capabilities have expanded, GPTunneL's usage policy prohibits abuse scenarios, resale of access, and mass misuse. GPT-5 also demonstrates fewer "hallucinations" and better recognizes incorrect requests, explaining why the model can't fulfill them and exactly how they violate OpenAI's policy. Developers recommend verifying critical outputs and using built-in safety filters.
Conclusion
The GPT-5 release changes how we think about using large language models: it's now a tool not just for generating text, but for comprehensive automation. It's already available to ChatGPT and API users, and will reach Enterprise and Edu in the coming weeks. If your task requires complex agentic scenarios, multimodal input, and long context, GPT-5 is worth trying now.
