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9OpenAI Blog·1mo ago

Introducing GPT-5.4

OpenAI has released GPT-5.4, described as their most capable and efficient frontier model targeting professional work. The model features state-of-the-art coding, computer use, and tool search capabilities, along with a 1 million token context window. This represents a significant capability and efficiency advancement over prior GPT-5 series models.

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Related events (8)

9Openai Blog·1mo ago·source ↗

Introducing GPT-5.2

OpenAI has released GPT-5.2, described as their most advanced frontier model for professional use, featuring state-of-the-art reasoning, long-context understanding, coding, and vision capabilities. The model is available through ChatGPT and the OpenAI API. It is positioned to support faster and more reliable agentic workflows.

8Openai Blog·1mo ago·source ↗

Introducing GPT-5.5

OpenAI has announced GPT-5.5, described as their most capable model to date, with improvements in speed and reasoning targeted at complex tasks including coding, research, and data analysis. The announcement positions GPT-5.5 as a step beyond GPT-5 in OpenAI's model lineage. The blog post is brief and announcement-level, with limited technical detail provided at this stage.

9Openai Blog·1mo ago·source ↗

Introducing GPT-5

OpenAI has released GPT-5, described as its most capable AI system to date. The model claims state-of-the-art performance across a broad range of domains including coding, mathematics, writing, health, and visual perception. The announcement positions GPT-5 as a significant intelligence leap over all prior OpenAI models.

8The Batch·17d ago·source ↗

GPT-5.4 released with tool search, computer use, and frontier benchmark performance

OpenAI released GPT-5.4 in Thinking and Pro variants, featuring an expanded context window (up to 1.05M input tokens), native computer use, tool search capabilities, and adjustable reasoning levels. In independent testing by Artificial Analysis, GPT-5.4 Pro at xhigh reasoning achieved state-of-the-art on GDP-Val-AA, BrowseComp, Terminal-Bench-Hard, SWE-Bench-Pro, and MCP Atlas, while trailing Gemini 3.1 Pro Preview on MMMU-Pro and Humanity's Last Exam. Pricing is set at the top of the market ($30/$180 per million input/output tokens for Pro), and the release also powers Codex, OpenAI's competitor to Claude Code. The item is reported via The Batch (tier 2 commentary) and includes additional context on Andrew Ng's chub CLI tool for agent documentation sharing.

7Openai Blog·1mo ago·source ↗

GPT-5 and the New Era of Work

OpenAI published a blog post positioning GPT-5 as its most advanced model, framing it around enterprise AI, automation, and workforce productivity. The post appears to be a high-level announcement or marketing piece accompanying GPT-5's enterprise rollout. Specific capability details or benchmarks are not provided in the excerpt. This signals OpenAI's strategic messaging around GPT-5 as a workplace transformation tool.

8Openai Blog·1mo ago·source ↗

Introducing GPT-5.4 mini and nano

OpenAI has released GPT-5.4 mini and nano, smaller and faster variants of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. These models are positioned for efficiency-sensitive deployment scenarios including agentic pipelines. The release extends the GPT-5.4 family with tiered model options targeting different cost and latency tradeoffs.

8Openai Blog·1mo ago·source ↗

Advancing science and math with GPT-5.2

OpenAI has released GPT-5.2, described as its strongest model for mathematics and science, achieving state-of-the-art results on GPQA Diamond and FrontierMath benchmarks. The announcement highlights practical research applications including solving an open theoretical problem and generating verified mathematical proofs. The post positions GPT-5.2 as a meaningful step toward AI-assisted scientific discovery.

7Openai Blog·1mo ago·source ↗

Introducing GPT-5.1 for developers

OpenAI has released GPT-5.1 via API, positioned as an upgrade to GPT-5 with faster adaptive reasoning and improved coding performance. The release introduces new developer-facing tools including apply_patch and shell, along with extended prompt caching support. The announcement targets developers building on the OpenAI API platform.