Saving or uploading materials does not mean the entire text enters this context.
Context: Information the model can reference when processing the current task, such as requirements, conversation, document excerpts, and tool outputs.
Why the Same Request Can Yield Different Results
"Prepare a Silk Road lesson," paired with "Grade 7, 40 minutes, haven't systematically studied the geography along the route," will be closer to the actual goal than the title alone. Adding M01–M03 documents, the model can also organize content around these references.
These requirements, background, and documents can become part of the current context. Context may also include application instructions, previous conversation, and tool outputs—not just the user's final message.
Saving, Uploading, and Reading Are Three Separate Things
| State | Can indicate | Cannot yet prove |
|---|---|---|
| File is on your computer | The file exists on the device | The application can access it or the model has read it |
| File has been uploaded | The application received the file | The entire file content entered the current input |
| Tool reads back the file | A specific read operation succeeded | The application provided the complete file verbatim to the model |
When using this, you can have the system point to the passages or document numbers it cited, then verify against the original text. A claim of "already read" alone is insufficient to confirm that all documents were actually used.
How Much Material to Provide
Select information based on the task: student background controls difficulty, M01 and M02 are used for instruction, M03 for discussion. Irrelevant notifications need not be included; example formats and factual evidence should each be identified by purpose to avoid copying old content wholesale.
When material is lengthy, mark relevant sections, core questions, and conditions that must be preserved. Do not assume that the longer the conversation goes on, the more completely every earlier statement remains available.
Going Deeper: Capacity and Filtering
The model has a capacity limit for information it can process at once, typically measured in tokens. Applications may truncate, retrieve, compress, or summarize material—the specific approach varies. Model output and some reasoning steps also consume the corresponding budget, so you cannot gauge capacity solely by uploaded file size.
Memory refers to information an application may persist across conversations; it only enters the current context when retrieved and used for the present task. Long-term preservation and current visibility are not the same concept.
Next Steps
Learn about Memory and Tokens, or read How to Provide Materials.
Reflect
Does having a file on your computer, uploaded, and read all mean the model can reference all the material this time?
Reference judgment: No; you need to confirm which information was read and selected—uploading and saving do not equal complete entry into the current context.
Source and Scope
Reference OpenAI · Conversation state. Technical specifications verified on 2026-09-09; examples and instructional organization written by this site. Specific product support scope and operation methods should be verified separately; this article makes no cross-product feature commitments.