gemini-3-flash-preview
Google/Proprietary/2 providers
Gemini 3 Flash Preview is designed to deliver strong agentic capabilities (near-Pro level) at substantial speed and value. Making it perfect for engaging multi-turn chats, and collaborating back and forth with your coding agent without getting out of flow. Compared to 2.5 Flash it delivers significant improvements across the board.MoreLess
Which id to call
google/gemini-3-flash-preview:flexThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$0.25
Google LLC (Gemini API)
Context
1.0M
66K output
Endpoints
4
1 region
Price spread
2.0x
4 endpoints
Capabilities 6/8
4 endpoints / 1 region
Providers serving gemini-3-flash-preview
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Google LLC (Gemini API) | Global | 1.0M | $0.25 | $1.50 | $0.05 | zdr |
| 2 |  Google LLC (Vertex AI) | Global | 1.0M | $0.25 | $1.50 | $0.02 | zdr |
| 3 | Google LLC (Gemini API) | Global | 1.0M | $0.50 | $3.00 | $0.05 | zdr |
| 4 | Google LLC (Vertex AI) | Global | 1.0M | $0.50 | $3.00 | $0.05 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
google/gemini-3-flash-preview:flexThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="google/gemini-3-flash-preview:flex", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
More from Google
Reference
gemini-3-flash-preview questions
Which providers serve gemini-3-flash-preview?
gemini-3-flash-preview is available from 2 providers through Requesty: Google LLC (Gemini API), Google LLC (Vertex AI). All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does gemini-3-flash-preview cost?
Pricing starts at $0.25 per million input tokens and $1.50 per million output tokens on Google LLC (Gemini API), the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is gemini-3-flash-preview open weights?
No. gemini-3-flash-preview is a proprietary model from Google, served through Google's own API and licensed cloud platforms.
What is the context window of gemini-3-flash-preview?
gemini-3-flash-preview supports up to 1.0M tokens of context, with up to 66K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use gemini-3-flash-preview with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "google/gemini-3-flash-preview:flex" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route gemini-3-flash-preview through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.