Introducing GPT-5 for developers
📰 OpenAI News
OpenAI introduces GPT-5, a state-of-the-art model for coding and agentic tasks, with improved performance and new features for developers
Action Steps
- Explore GPT-5's capabilities for coding and agentic tasks
- Use the new `verbosity` parameter to control model response length
- Utilize the `reasoning_effort` parameter to balance response time and accuracy
- Integrate GPT-5 into development workflows to improve productivity
Who Needs to Know This
Developers and software engineers can leverage GPT-5 to improve coding efficiency and accuracy, while product managers and entrepreneurs can explore new use cases for the model
Key Insight
💡 GPT-5's improved tool intelligence and steerability enable it to reliably execute complex tasks end-to-end
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🚀 Introducing GPT-5! 🤖 State-of-the-art coding and agentic tasks model with improved performance and new features 🚀
Key Takeaways
OpenAI introduces GPT-5, a state-of-the-art model for coding and agentic tasks, with improved performance and new features for developers
Full Article
# Introducing GPT‑5 for developers | OpenAI
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Table of contents
* [Introduction](https://openai.com/index/introducing-gpt-5-for-developers#introduction)
* [New features](https://openai.com/index/introducing-gpt-5-for-developers#new-features)
* [Safety](https://openai.com/index/introducing-gpt-5-for-developers#safety)
* [Availability & pricing](https://openai.com/index/introducing-gpt-5-for-developers#availability-and-pricing)
* [Detailed benchmarks](https://openai.com/index/introducing-gpt-5-for-developers#detailed-benchmarks)
August 7, 2025
[Product](https://openai.com/news/product-releases/)
# Introducing GPT‑5 for developers
The best model for coding and agentic tasks.
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## Introduction
Today, we’re releasing GPT‑5 in our API platform—our best model yet for coding and agentic tasks.
GPT‑5 is state-of-the-art (SOTA) across key coding benchmarks, scoring 74.9% on SWE-bench Verified and 88% on Aider polyglot. We trained GPT‑5 to be a true coding collaborator. It excels at producing high-quality code and handling tasks such as fixing bugs, editing code, and answering questions about complex codebases. The model is steerable and collaborative—it can follow very detailed instructions with high accuracy and can provide upfront explanations of its actions before and between tool calls. The model also excels at front-end coding, beating OpenAI o3 at frontend web development 70% of the time in internal testing.
We trained GPT‑5 on real-world coding tasks in collaboration with early testers across startups and enterprises. **Cursor** says GPT‑5 is “the smartest model [they’ve] used” and “remarkably intelligent, easy to steer, and even has a personality [they] haven’t seen in other models.” **Windsurf** shared GPT‑5 is SOTA on their evals and “has half the tool calling error rate over other frontier models.” **Vercel**says “it’s the best frontend AI model, hitting top performance across both the aesthetic sense and the code quality, putting it in a category of its own.”
GPT‑5 also excels at long-running agentic tasks—achieving SOTA results on τ 2-bench telecom (96.7%), a tool-calling benchmark released just 2 months ago. GPT‑5’s improved tool intelligence lets it reliably chain together dozens of tool calls—both in sequence and in parallel—without losing its way, making it far better at executing complex, real-world tasks end to end. It also follows tool instructions more precisely, is better at handling tool errors, and excels at long-context content retrieval. **Manus** says GPT‑5 “achieved the best performance [they’ve] ever seen from a single model on [their] internal benchmarks.”**Notion** says “[the model’s] rapid responses, especially in low reasoning mode, make GPT‑5 an ideal model when you need complex tasks solved in one shot.” **Inditex** shared “what truly sets [GPT‑5] apart is the depth of its reasoning: nuanced, multi-layered answers that reflect real subject-matter understanding.”
We’re introducing new features in our API to give developers more control over model responses. GPT‑5 supports a new `verbosity` parameter (values: `low`, `medium`, `high`) to help control whether answers are short and to the point or long and comprehensive. GPT‑5’s `reasoning_effort` parameter can now take a minimal value to get answers back faster, without extensive
[Skip to main content](https://openai.com/index/introducing-gpt-5-for-developers#main)
[](https://openai.com/)
* [Research](https://openai.com/research/index/)
* Products
* [Business](https://openai.com/business/)
* [Developers](https://openai.com/api/)
* [Company](https://openai.com/about/)
* [Foundation(opens in a new window)](https://openaifoundation.org/)
Log in[Try ChatGPT(opens in a new window)](https://chatgpt.com/)
* Research
* Products
* Business
* Developers
* Company
* [Foundation(opens in a new window)](https://openaifoundation.org/)
[Try ChatGPT(opens in a new window)](https://chatgpt.com/)Login
OpenAI
Table of contents
* [Introduction](https://openai.com/index/introducing-gpt-5-for-developers#introduction)
* [New features](https://openai.com/index/introducing-gpt-5-for-developers#new-features)
* [Safety](https://openai.com/index/introducing-gpt-5-for-developers#safety)
* [Availability & pricing](https://openai.com/index/introducing-gpt-5-for-developers#availability-and-pricing)
* [Detailed benchmarks](https://openai.com/index/introducing-gpt-5-for-developers#detailed-benchmarks)
August 7, 2025
[Product](https://openai.com/news/product-releases/)
# Introducing GPT‑5 for developers
The best model for coding and agentic tasks.
Loading…
Share
## Introduction
Today, we’re releasing GPT‑5 in our API platform—our best model yet for coding and agentic tasks.
GPT‑5 is state-of-the-art (SOTA) across key coding benchmarks, scoring 74.9% on SWE-bench Verified and 88% on Aider polyglot. We trained GPT‑5 to be a true coding collaborator. It excels at producing high-quality code and handling tasks such as fixing bugs, editing code, and answering questions about complex codebases. The model is steerable and collaborative—it can follow very detailed instructions with high accuracy and can provide upfront explanations of its actions before and between tool calls. The model also excels at front-end coding, beating OpenAI o3 at frontend web development 70% of the time in internal testing.
We trained GPT‑5 on real-world coding tasks in collaboration with early testers across startups and enterprises. **Cursor** says GPT‑5 is “the smartest model [they’ve] used” and “remarkably intelligent, easy to steer, and even has a personality [they] haven’t seen in other models.” **Windsurf** shared GPT‑5 is SOTA on their evals and “has half the tool calling error rate over other frontier models.” **Vercel**says “it’s the best frontend AI model, hitting top performance across both the aesthetic sense and the code quality, putting it in a category of its own.”
GPT‑5 also excels at long-running agentic tasks—achieving SOTA results on τ 2-bench telecom (96.7%), a tool-calling benchmark released just 2 months ago. GPT‑5’s improved tool intelligence lets it reliably chain together dozens of tool calls—both in sequence and in parallel—without losing its way, making it far better at executing complex, real-world tasks end to end. It also follows tool instructions more precisely, is better at handling tool errors, and excels at long-context content retrieval. **Manus** says GPT‑5 “achieved the best performance [they’ve] ever seen from a single model on [their] internal benchmarks.”**Notion** says “[the model’s] rapid responses, especially in low reasoning mode, make GPT‑5 an ideal model when you need complex tasks solved in one shot.” **Inditex** shared “what truly sets [GPT‑5] apart is the depth of its reasoning: nuanced, multi-layered answers that reflect real subject-matter understanding.”
We’re introducing new features in our API to give developers more control over model responses. GPT‑5 supports a new `verbosity` parameter (values: `low`, `medium`, `high`) to help control whether answers are short and to the point or long and comprehensive. GPT‑5’s `reasoning_effort` parameter can now take a minimal value to get answers back faster, without extensive
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