1/ 🚨 OpenAI just dropped three new API-only models: GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. These models are faster, cheaper, and smarter—especially for coding, long-context tasks, and agent workflows. And yes, they all support up to 1 million tokens of context. 🧵👇

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3/ ⚡ GPT-4.1 Mini offers a balance between performance and efficiency. It's nearly half the latency of GPT-4o and 83% cheaper, yet it matches or exceeds GPT-4o in many benchmarks. Perfect for developers needing speed without sacrificing too much accuracy.

4/ 🚀 GPT-4.1 Nano is the fastest and most cost-effective model in the lineup. With a 1 million token context window, it's ideal for tasks like classification and autocompletion. Despite its size, it outperforms GPT-4o Mini in several benchmarks.

5/ 💰 Pricing per 1M tokens:

GPT-4.1: $2 input / $8 output

GPT-4.1 Mini: $0.40 input / $1.60 output

GPT-4.1 Nano: $0.10 input / $0.40 output

These models are available now via the OpenAI API. Time to build smarter, faster, and more cost-effective applications.

OpenAI GPT-4.1 Announcement: https://openai.com/index/gpt-4-1/

Wired Coverage on GPT-4.1’s coding performance: https://www.wired.com/story/openai-announces-4-1-ai-model-coding

TechCrunch on OpenAI's GPT-4.1 model suite: https://techcrunch.com/2025/04/14/openais-new-gpt-4-1-models-focus-on-coding/

2/ 🧠 GPT-4.1 is the flagship model, boasting a 21% improvement in coding tasks over GPT-4o and 27% over GPT-4.5. It excels in instruction following and long-context comprehension, making it ideal for complex applications.