OpenAI releases a new series of models, GPT-4.1, with performance surpassing GPT-4o in all aspects
OpenAI GPT-4.1 series models are released, with performance surpassing the previous generation and leading a new era of AI.
Core content:
1. GPT-4.1 series models surpass GPT-4o in all aspects, with significant performance improvement
2. Encoding, instruction following and long context processing capabilities have achieved a leap
3. Pricing strategy optimization, cost-effectiveness has been greatly improved, and the cost of large-scale applications has been reduced
OpenAI officially announced that the new GPT-4.1 series is superior to the highly acclaimed GPT-4o "in almost every aspect". The core improvements of this release focus on the following key areas:
Greater Intelligence and Lower Latency: Overall performance is improved while responsiveness is optimized.
Excellent coding skills: Outstanding performance on software engineering benchmarks (such as SWE-bench Verified), significant improvements in code editing capabilities (Aider's Polyglot benchmark) and front-end development tasks.
Accurate instruction following: It has significant improvements over GPT-4o in understanding complex instructions, multi-round dialogue tracking (MultiChallenge), and format compliance (IFEval).
Breakthrough long-context processing: Supports context windows of up to 1 million tokens, far exceeding the 128k of GPT-4o, and demonstrates a full range of accurate information retrieval capabilities in tests such as "Needle in a Haystack".
1. GPT-4.1 (Ultimate Edition):
Positioning: A high-performance flagship model designed for complex tasks and cross-domain problem solving, officially described as “smarter” than GPT-4o.
Features: Has a context window of 1,047,576 tokens, a maximum output token number of 32,768, and the knowledge deadline is updated to June 1, 2024.
Cost-effectiveness: The cost-effectiveness is improved by 26% compared with GPT-4o.
2. GPT-4.1 mini (high-efficiency version):
Positioning: Medium-sized cost-effective model.
Features: Performance is close to GPT-4o, but the cost is significantly reduced by 83%, and the latency is also reduced by half. Multimodal capabilities even exceed GPT-4o on some tasks.
3. GPT-4.1 nano (high-speed version):
Positioning: Extremely lightweight, ultra-high-speed model.
Features: It is the fastest and cheapest model currently available, and is particularly suitable for simple tasks such as classification and completion that are extremely sensitive to latency and cost.
Note: The hybrid average price is an estimated reference value after considering the typical input/output ratio and cache hit rate.
In addition, the discount for the Prompt caching mechanism has been increased to 75%, and a further 50% discount is available for using the Batch API, further reducing the cost of large-scale applications.
The release of the GPT-4.1 series by OpenAI is undoubtedly another important milestone in the development of large language models. It not only brings a leap in performance, but also achieves structural optimization in context length, reasoning efficiency, and cost-effectiveness.
This indicates that AI will be able to be applied to more complex real-world tasks in a more stable and controllable manner.
