GPT-4.5 Preview
Version: 2025-02-27
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Key capabilities
About this model
Early testing shows that interacting with GPT-4.5 Preview feels more natural. Its broader knowledge base, improved ability to follow user intent, and greater "EQ" make it useful for tasks like improving writing, programming, and solving practical problems. We also expect it to hallucinate less.Key model capabilities
Core capabilities- Model Qualities: Early testing shows that interacting with GPT-4.5 Preview feels more natural. Its broader knowledge base, improved ability to follow user intent, and greater "EQ" make it useful for tasks like improving writing, programming, and solving practical problems. We also expect it to hallucinate less.
- Accuracy & Hallucinations: Our testing shows that GPT-4.5 Preview achieves lower hallucination rates compared to GPT-4o (37% vs. GPT-4o at 61.2%) and higher accuracy (61.9% compared to 38.4% for GPT-4o).
- Stronger human alignment: For GPT-4.5 Preview, we developed new, scalable alignment techniques that enable training larger and more powerful models with data derived from smaller models. These techniques improve GPT 4.5 Preview's steerability, understanding of nuance, and natural conversation.
- Creative and practical applications: GPT-4.5 Preview excels in writing help, design, multi-step coding workflows, task automation, communication, learning, coaching, and brainstorming. Also shows strong performance in planning, execution, and complex task automation.
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
GPT-4.5 Preview excels in writing help, design, multi-step coding workflows, task automation, communication, learning, coaching, and brainstorming. Also shows strong performance in planning, execution, and complex task automation.Out of scope use cases
The provider has not supplied this information.Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
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Training, testing and validation
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Distribution channels
This model is provided through the Azure OpenAI service.More information
The following documents are applicable:- Overview of Responsible AI practices for Azure OpenAI models
- Transparency Note for Azure OpenAI Service
Responsible AI considerations
Safety techniques
Safety is built into our models from the beginning, and reinforced at every step of our development process. In pre-training, we filter out information that we do not want our models to learn from or output, such as hate speech, adult content, sites that primarily aggregate personal information, and spam. In post-training, we align the model's behavior to our policies using techniques such as reinforcement learning with human feedback (RLHF) to improve the accuracy and reliability of the models' responses. GPT-4.5 Preview has the same safety mitigations built-in as GPT-4o, which we carefully assessed using both automated and human evaluations according to our Preparedness Framework and in line with our voluntary commitments. For GPT-4.5 Preview, we developed new, scalable alignment techniques that enable training larger and more powerful models with data derived from smaller models. These techniques improve GPT 4.5 Preview's steerability, understanding of nuance, and natural conversation. Building on these learnings, our teams also worked to improve the safety of GPT-4.5 Preview using new techniques informed by our research. GPT-4.5 Preview in the API is the first model to apply our instruction hierarchy method, which helps to improve the model's ability to resist jailbreaks, prompt injections, and system prompt extractions. This makes the model's responses more reliable and helps make it safer to use in applications at scale. We'll continue to monitor how GPT-4.5 Preview is being used and improve the model's safety as we identify new risks. Prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .Safety evaluations
More than 70 external experts in fields like social psychology and misinformation tested GPT-4o to identify potential risks, which we have addressed and plan to share the details of in the forthcoming GPT-4.5 Preview system card and Preparedness scorecard. Insights from these expert evaluations have helped improve the safety of both GPT-4o and GPT-4o mini.Known limitations
The provider has not supplied this information.Acceptable use
Acceptable use policy
The provider has not supplied this information.Quality and performance evaluations
Source: OpenAI GPT-4.5 Preview has leading scores on the Simple QA benchmark which tests factual knowldge. Our testing shows that GPT-4.5 Preview achieves lower hallucination rates compared to GPT-4o (37% vs. GPT-4o at 61.2%) and higher accuracy (61.9% compared to 38.4% for GPT-4o).Benchmarking methodology
Source: OpenAI The provider has not supplied this information.Public data summary
Source: OpenAI The provider has not supplied this information.Model Specifications
Context Length131072
LicenseCustom
Training DataOctober 2023
Last UpdatedDecember 2025
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages27 Languages