AI & LLM
Token, cost & context tools for LLMs
Gemini Context Window Checker — Does Your Prompt Fit Gemini 2.5 Pro?
Gemini 2.5 Pro has a 1,048,576-token context window (≈ 1,049K tokens) as of 2026-07-03. The context window includes all modalities in one request: text, images, audio, video, and the model's text response. The max text output is 65,536 tokens per response — significantly smaller than the context window; plan your output budget accordingly. With 32,000 tokens reserved for output, the usable input space is 1,016,576 tokens. An 800,000-token text prompt fits within that space. Paste your document or system prompt to check fit before calling the Gemini API.
Gemini 2.5 Pro context window: 1,048,576 tokens
- Gemini 2.5 Pro max output: 65,536 tokens (separate limit — much smaller than the context window)
- Usable input (1,048,576 − 32,000 reserved output): 1,016,576 tokens
- Example check: 800,000-token prompt → FITS
- Data as of 2026-07-03
Frequently asked questions
What is the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro has a 1,048,576-token context window (≈ 1,049K tokens). This covers all modalities combined — text, images, audio, and video inputs all consume tokens toward this limit. The maximum text output per response is 65,536 tokens. Token counts for non-text inputs (images, audio) depend on resolution and duration — this checker estimates text tokens only. Data as of 2026-07-03.
Why is Gemini 2.5 Pro's max output (65,536 tokens) so much smaller than its context window (1M tokens)?
The context window measures what Gemini can read and process; the max output measures what it can generate in one response. Generating tokens autoregressively is expensive — a 65,536-token output limit keeps latency and cost reasonable while the large context window enables very long input documents. If you need longer outputs, you can chain calls, using the previous response as part of the next input within the 1M context budget.