OpenAI GPT-4.5 Language Model
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An OpenAI GPT-4.5 Language Model is a multimodal language model within an OpenAI LLM Family.
AKA: GPT-4.5, OpenAI GPT-4.5, OpenAI's GPT-4.5.
- Context:
- It can typically be a Foundation LLM.
- It can typically be a Instruction-Tuned LLM.
- It can typically demonstrate Enhanced Reasoning Capability through advanced computation.
- ...
- It can range from being a Base GPT-4.5 Model to being a GPT-4.5 Turbo Model, depending on its model variant.
- It can range from being a Text-Only GPT-4.5 to being a Multimodal GPT-4.5, depending on its input modality.
- It can range from being a Standard Context GPT-4.5 to being an Extended Context GPT-4.5, depending on its context window size.
- ...
- It can have model architecture with:
- GPT-4.5's Scale of significantly larger parameter count than GPT-4
- GPT-4.5 Mixture Of Experts (MoE) with improved expert routing
- GPT-4.5 Corpus with advanced data-efficient training
- GPT-4.5 Training Cost requiring substantial computational resources
- GPT-4.5 Inference Architecture using distributed computing clusters
- ...
- It can support input processing through:
- It can provide output generation through:
- It can maintain enhanced factual accuracy through advanced information verification.
- It can follow complex user instructions through improved steerability mechanism.
- ...
- It can be a Multi-Modal LLM.
- It can be a State-of-the-Art LLM.
- ...
- Example(s):
- GPT-4.5 Base Models (from 2025-04, cutoff 2024-10), such as:
- gpt-4.5 (128k) with 128,000 token context and base capabilitys
- gpt-4.5-512k with 512,000 token context and extended context
- gpt-4.5-0410 with initial release features
- GPT-4.5 Vision Models (from 2025-04), such as:
- gpt-4.5-vision with enhanced visual analysis capability
- gpt-4.5-vision-advanced with improved recognition
- GPT-4.5 Audio Models (from 2025-04), such as:
- GPT-4.5 Specialized Models (from 2025-04), such as:
- ...
- GPT-4.5 Base Models (from 2025-04, cutoff 2024-10), such as:
- Counter-Example(s):
- OpenAI GPT-4 Language Models, which lack gpt-4.5 enhanced reasoning capability.
- OpenAI GPT-3.5 Language Models, which lack gpt-4.5 advanced computational power and gpt-4.5 nuanced understanding.
- Google Gemini Models, which use different architecture and different training methodology.
- Anthropic Claude Models, which employ different alignment approaches.
- See: Transformer Architecture, Mixture of Experts (MoE), Data-Efficient Training, Azure OpenAI Service, Auto-GPT Framework, DSPy Framework.
- References:
- OpenAI GPT-4.5 Development Discussion (2025), featuring insights from Sam Altman, Amin Tootoonchian, Alex Paino, and Daniel Selsam.
- OpenAI Documentation (2025), detailing GPT-4.5 technical specifications.
- GPT-4.5 Technical Report (2025), explaining training methodology and performance metrics.