{"data":{"id":"9c19d19e-e595-4bcf-a733-1a8fd7557f91","title":"Introducing GPT-5.4 mini and nano","summary":"OpenAI released GPT-5.4 mini and nano, smaller and faster versions of their GPT-5.4 model designed for high-volume tasks where response speed matters. GPT-5.4 mini runs more than 2x faster than GPT-5 mini while approaching the performance of the full GPT-5.4 model on coding and reasoning tasks, while GPT-5.4 nano is the smallest and cheapest option for simpler jobs like classification and data extraction. These models work best in applications like coding assistants, AI subagents (specialized AI components that handle specific subtasks), and systems that interpret screenshots, where being fast and cost-effective is more important than raw capability.","solution":"N/A -- no mitigation discussed in source.","labels":["industry"],"sourceUrl":"https://openai.com/index/introducing-gpt-5-4-mini-and-nano","publishedAt":"2026-03-17T10:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["OpenAI","GPT-5.4 mini","GPT-5.4 nano","ChatGPT","Codex"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-17T10:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":null,"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}