OpenAI Unveils Coding-Focused GPT-4.1 While Phasing Out GPT-4.5

OpenAI unveiled its GPT-4.1 model family on Monday, prioritizing coding capabilities and instruction following while expanding context windows to 1 million tokens -- approximately 750,000 words. The lineup includes standard GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano variants, all available via API but not ChatGPT. The flagship model scores 54.6% on SWE-bench Verified, lagging behind Google's Gemini 2.5 Pro (63.8%) and Anthropic's Claude 3.7 Sonnet (62.3%) on the same software engineering benchmark, according to TechCrunch. However, it achieves 72% accuracy on Video-MME's long video comprehension tests -- a significant improvement over GPT-4o's 65.3%. OpenAI simultaneously announced plans to retire GPT-4.5 -- their largest model released just two months ago -- from API access by July 14. The company claims GPT-4.1 delivers "similar or improved performance" at substantially lower costs. Pricing follows a tiered structure: GPT-4.1 costs $2 per million input tokens and $8 per million output tokens, while GPT-4.1 nano -- OpenAI's "cheapest and fastest model ever" -- runs at just $0.10 per million input tokens. All models feature a June 2024 knowledge cutoff, providing more current contextual understanding than previous iterations. Read more of this story at Slashdot.

Apr 14, 2025 - 18:33

OpenAI Unveils Coding-Focused GPT-4.1 While Phasing Out GPT-4.5

OpenAI unveiled its GPT-4.1 model family on Monday, prioritizing coding capabilities and instruction following while expanding context windows to 1 million tokens -- approximately 750,000 words. The lineup includes standard GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano variants, all available via API but not ChatGPT. The flagship model scores 54.6% on SWE-bench Verified, lagging behind Google's Gemini 2.5 Pro (63.8%) and Anthropic's Claude 3.7 Sonnet (62.3%) on the same software engineering benchmark, according to TechCrunch. However, it achieves 72% accuracy on Video-MME's long video comprehension tests -- a significant improvement over GPT-4o's 65.3%. OpenAI simultaneously announced plans to retire GPT-4.5 -- their largest model released just two months ago -- from API access by July 14. The company claims GPT-4.1 delivers "similar or improved performance" at substantially lower costs. Pricing follows a tiered structure: GPT-4.1 costs $2 per million input tokens and $8 per million output tokens, while GPT-4.1 nano -- OpenAI's "cheapest and fastest model ever" -- runs at just $0.10 per million input tokens. All models feature a June 2024 knowledge cutoff, providing more current contextual understanding than previous iterations.