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ChatGPT file upload sizes explained across all plans

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ChatGPT now supports advanced document analysis, spreadsheet processing, and multimodal interactions across multiple subscription tiers. However, file upload capabilities differ significantly depending on your plan. These limits affect maximum file size, daily upload quotas, token processing capacity, and memory handling. Understanding these constraints is essential for optimizing workflows, particularly when working with large datasets or multi-document projects.



File upload size limits vary by file type and plan

ChatGPT supports a wide range of file formats, but maximum size limits depend on both the content type and your subscription tier. Text-based files and PDFs allow for the largest uploads, whereas image and spreadsheet files have stricter constraints.

File Type

Maximum Size

Notes

Text / PDF documents

512 MB

Applies to reports, research papers, and other large text-heavy files

Images

20 MB

PNG, JPEG, and other visual formats used for multimodal tasks

Spreadsheets

~50 MB

Maximum depends on row and cell density

Zip / archives

512 MB

Supported, but contents must respect internal processing limits

These limits apply uniformly across Free, Plus, Pro, and Enterprise plans, but differences emerge when considering upload frequency, token indexing, and document recall within responses.


Token capacity defines how much content ChatGPT can process

When uploading files, ChatGPT indexes the entire document, but only the retrieved segments used in a specific answer count toward the active context window. The per-file indexing capacity is extremely large, allowing for up to 2 million tokens per file, equivalent to hundreds of pages of structured data.


However, the active conversational context window is separate from document ingestion. Maximum tokens per plan:

Subscription Plan

Context Window

File Token Processing

Indexing Mode

Free

~8,192 tokens

Standard file chunking

Limited retrieval

Plus

~32,000 tokens

Higher processing quota

Extended retrieval

Pro / Enterprise

128,000 tokens

Optimized for multi-doc

Enterprise Graph integration

API (GPT-5)

400,000 tokens

External bulk analysis

Developer-focused

For Enterprise deployments, ChatGPT can load up to ~110,000 tokens directly into a response from uploaded files, making it ideal for document-heavy tasks like audits, knowledge extraction, and reporting automation.


Daily file upload quotas differ across subscription tiers

While maximum file sizes are fixed, the number of files you can upload daily depends on your subscription:

Plan

Daily Upload Cap

Best Use Case

Free

~3 files per day

Occasional personal queries

Plus

80 files / 3 hours

Research, analysis, content preparation

Enterprise

Unlimited (negotiated)

High-volume workflows and RAG pipelines

Enterprise customers receive dedicated storage quotas, meaning limits are customized per organization, enabling large-scale data ingestion and analysis without user-facing restrictions.


Context trimming affects long sessions

As ChatGPT processes lengthy chats with multiple uploaded files, older parts of the conversation are automatically trimmed when token limits are reached. This trimming affects retrieval accuracy, especially when referencing earlier exchanges within the same session. To mitigate these effects:

  • Use separate sessions for unrelated tasks.

  • Summarize earlier findings before continuing.

  • Upload structured files rather than raw unsegmented content.

By managing context proactively, users can preserve consistency when handling long analyses and multi-file projects.


Memory features enhance personalization but don’t expand token limits

ChatGPT’s memory feature—available gradually across Plus and Enterprise tiers—allows the model to retain preferences and key facts across sessions. For example, it can remember writing style, project names, or datasets previously uploaded.


However, memory does not increase the context window. Each response is still bounded by the plan’s token capacity, meaning large-scale workflows must balance persistent personalization with per-session technical limits.

Feature

Impact on Context

Impact on Workflow

Session-only memory

Limited to active chat

No continuity after session ends

Persistent memory

Retains user data

Supports long-term personalization

Token cap impact

Unchanged

Context limits still apply


Optimizing ChatGPT file workflows for different plans

To maximize ChatGPT’s file-processing capabilities:

  • Compress large datasets before uploading to reduce retrieval overhead.

  • Use Plus or Enterprise plans when working with complex, multi-document workflows.

  • Leverage the API for large-scale automation, where GPT-5’s 400K-token context enables full-document parsing at scale.

  • For enterprises, integrate ChatGPT with Microsoft Graph or RAG pipelines to deliver consistent, contextually rich outputs.


ChatGPT’s file upload capabilities have evolved into a powerful document-processing ecosystem. While free and Plus users gain access to generous limits for research and personal productivity, Enterprise deployments unlock optimized token handling, unlimited uploads, and advanced retrieval workflows, making ChatGPT suitable for large-scale business and data-intensive environments.


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