Google: Gemini 3.5 Flash
- by google
- google/gemini-3.5-flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
What the numbers mean
- Context window1,048,576 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 790,000 words, or 1,600 pages.
- Max output65,536 tokens
- The longest single reply it can write: about 49,000 words.
- Input price$1.5 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$9 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiestext, image, video, file, audio in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
- Knowledge cutoff2025-01-01
- The last date its training data covers. It does not know about anything after that unless you put it in the prompt.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
include_reasoningmax_tokensreasoningreasoning_effort