
OpenAI
GPT-5.4
From $1.00 per 1M tokens
Gemini 3.6 Flash is Google's newest Stable Gemini 3 model, built to balance speed with intelligence across agentic and multimodal work. Gemini 3.6 Flash reads text, images, video, audio and PDF into a 1,048,576-token context window and writes up to 65,536 tokens back, with thinking, function calling and Google Search grounding all supported. On reAPI, Gemini 3.6 Flash runs at 20% below Google's published Standard rate on both input and output.
gemini-3.6-flashChat models run on the api.reapi.ai gateway, which has its own console and its own key. Open the console to run Gemini 3.6 Flash through the OpenAI-compatible Chat Completions surface.
Real-world workflows and production use cases you can build and ship with this model.

PDF is a first-class input for Gemini 3.6 Flash, not a preprocessing step you own. Combined with the 1,048,576-token context window, that means a contract set, a research bundle or a year of reports can go into one call and come back cross-referenced. Gemini 3.6 Flash also takes images, video and audio in the same message, so a document review can include the screenshots and recordings attached to it. The practical win is that you stop maintaining a retrieval layer whose only job was working around a small context window.
Read the API docs
Gemini 3.6 Flash supports function calling, code execution and file search, and Google lists computer use as supported in preview. Search grounding and Grounding with Google Maps are both supported, so Gemini 3.6 Flash can answer from current sources rather than training data alone, and URL context lets you point it at a page directly. Thinking is supported, which is what carries multi-step plans between tool calls. That combination is what makes Gemini 3.6 Flash usable as the reasoning core of an agent rather than only as a text generator.

Output tokens dominate the cost of most generative workloads, and thinking tokens count as output. Gemini 3.6 Flash carries a lower published output rate than Gemini 3.5 Flash at the same input rate, and on reAPI both dimensions land 20% under Google's published Standard rate. For summarisation fleets, classification pipelines and agent loops that run all day, that is the number that moves your monthly invoice. Gemini 3.6 Flash keeps the same million-token window while it does it, so cheaper does not mean smaller.
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
| Category | Unit | Price |
|---|---|---|
| Token pricing | ||
| Input | 1M tokens | $1.2 |
| Output | 1M tokens | $6 |
Google publishes a Standard input and output rate for Gemini 3.6 Flash. On reAPI, Gemini 3.6 Flash bills at 80% of both — a flat 20% discount on input and on output, with no subscription underneath it and no minimum commitment. Pay-as-you-go in USD against your gateway balance.
Gemini 3.6 Flash is served from an OpenAI-compatible `/v1/chat/completions` endpoint. If your code already speaks that shape, adopting Gemini 3.6 Flash is a base URL, a key and a model string. The gateway also exposes a native Gemini endpoint type for this model if you prefer Google's own request format.
The same api.reapi.ai key that calls Gemini 3.6 Flash calls the GPT and Claude families too. Switching models to compare quality, or failing over when one provider has a bad hour, is a model string rather than a second integration, a second invoice and a second set of credentials.
The honest version of this comparison is short: on every dimension Google publishes, Gemini 3.6 Flash and Gemini 3.5 Flash have the same surface. Same limits, same inputs, same capability list, same consumption options. Gemini 3.6 Flash is a price and positioning change, not a capability upgrade — so if you are choosing between them, the output rate and the recency are the real inputs to that decision.
Comparison reflects behavior documented on Google's own model and pricing pages at the time of writing. Rates are described as relationships rather than amounts; the live numbers for Gemini 3.6 Flash are in the pricing table above.
Sign up at api.reapi.ai, open the console and generate an API key. That one key reaches Gemini 3.6 Flash and every other model on the gateway, billed from a single balance.
OpenSet your base URL to api.reapi.ai and your key to the one you just created. Any client that already speaks OpenAI Chat Completions works unchanged — no SDK swap is needed to reach Gemini 3.6 Flash.
OpenSet the model field to `gemini-3.6-flash` and post your messages. Turn on streaming for anything interactive, and raise max tokens when you want Gemini 3.6 Flash to use more of its 65,536-token output ceiling.
OpenCommon questions about this model.
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