What models are currently available in AI Studio?
| Vendor | Model | Best Used For | Strength Level | File Uploads |
|---|---|---|---|---|
| OpenAI | GPT 4.1 | Everyday writing, document review, coding help, structured outputs | High | Yes |
| OpenAI | GPT 5.2 | Complex analysis, multi-step reasoning, research-heavy tasks, advanced coding | Very High | Yes |
| Anthropic | Claude Sonnet 4.6 | Long documents, detailed writing, policy review, summarization | High | Yes |
| Anthropic | Claude Haiku 4.5 | Quick answers, short prompts, lightweight interactions | Moderate | No |
| Gemini 3 Flash | Fast responses, chat-style questions, lower complexity tasks | Moderate | Limited | |
| Gemini 3.1 Pro | Research, structured analysis, advanced reasoning | High | Yes | |
| Gemini 2.5 Flash | Cost-efficient general use and simple tasks | Moderate | Limited | |
| Gemini 2.5 Pro | More detailed analysis and structured tasks than Flash models | High | Yes |
Model availability may vary depending on the AI Studio experience being used, including ONEchat, Personal Agents, Platform Agents, and API access.
Because availability is tied to licensing, governance, and cost considerations, models may change over time. For the most up‑to‑date list of enabled models, sign in to AI Studio and review the model selection menu at the top of the interface.
What factors determine which models are available in AI Studio?
Model availability in AI Studio is determined by several factors:
- Cost and usage impact (models may be added, limited, or removed based on cost considerations and overall usage)
- Licensing and contract terms
- Platform configuration
- Security and compliance review (models must meet University data protection and governance standards)
- Vendor support
As a result, not all publicly available AI models are offered in AI Studio, and availability may change over time.
What steps should be taken if a model does not handle a file effectively or returns an error?
Try selecting a different model before assuming there is an issue with the file itself. Switching models is often the fastest and most effective troubleshooting step.
Why might the same file produce different results across models?
AI Studio supports models from multiple providers, and each model processes files differently. Variations in PDF handling, data analysis capabilities, image interpretation, and tool support can lead to differences in output and overall user experience.
How do token usage limits and cost considerations affect the models currently available in AI Studio?
AI models consume tokens each time they process a prompt or generate a response. More advanced models and longer conversations typically use more tokens, which increases overall cost.
To manage responsible use and maintain platform sustainability:
- Users are assigned monthly token limits.
- Some higher-cost models may have tighter usage controls.
- Certain models may be limited, rotated, or removed based on cost and overall demand.
- Extremely high-volume or resource-intensive use cases may require review.
Why are models such as Gemini Pro or Copilot Pro not included in AI Studio?
Models such as Gemini Pro and Copilot Pro are offered through separate enterprise Pro licensing agreements and are not part of the AI Studio platform.