OpenAI has officially introduced three new models: GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano. These models come with a massive context capacity of up to 1 million tokens and a knowledge limit updated until June 2024.
The company says these models are superior to the recently updated GPT-4o and GPT-4o mini, which were released last July. GPT-4.1 is currently only available via API, so you won't be able to use it directly in ChatGPT yet.
OpenAI notes that GPT-4.1 will only be available via API. In ChatGPT, many improvements in instruction compliance, programming, and intelligence have been gradually built into the latest version of GPT-4o, and the company will continue to add more in future releases.
Benchmarks show the notable improvements that GPT-4.1 brings. The model scored 54.6% on SWE-bench Verified, a 21.4-point increase over GPT-4o. The model scored 38.3% on MultiChallenge, a guideline-based benchmark, and set a new record for long-video understanding with a score of 72.0% on the Video-MME benchmark, where models analyze videos up to an hour long without captions.
OpenAI has also collaborated with alpha partners to test the performance of GPT-4.1 in real-world use cases.
Performance is one thing, but speed is equally important. OpenAI says GPT-4.1 returns the first token in about 15 seconds when processing 128,000 tokens, and up to 30 seconds at a full million tokens. The GPT-4.1 mini and nano are even faster.
GPT-4.1 nano typically responds in under 5 seconds to prompts with 128,000 input tokens. Prompt caching can further reduce latency while saving costs.
Image understanding also made significant progress. In particular, GPT-4.1 mini outperformed GPT-4o on various visual benchmarks.
About price:
Using prompt caching or the Batch API can further reduce these costs, which is great for large-scale applications. OpenAI is also preparing to deprecate support for GPT-4.5 Preview on July 14, 2025, citing GPT-4.1's better performance, lower latency, and lower costs.
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