Google: Gemini 3 Flash Preview
Gemini 3 Flash Preview is a reasoning model from Google released on Dec 17, 2025. It reads text, images, files, audio and video and writes text, with a 1.05M token context window and up to 66K tokens per reply.
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It costs $0.50 per million input tokens and $3 per million output tokens. Cached input bills at $0.05, 90% less than fresh input.
It supports tool calling, structured JSON output and prompt caching.
27 providers serve it, including Databricks, Vertex and QiHang. The lowest input price is $0.07 per million tokens at QiHang.
- Modalities
- In / out price
- $0.50 / $3 per 1M
- Context
- 1.05M
- Max output
- 66K
- Released
- Dec 17, 2025
- Knowledge cutoff
- Jan 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Gemini 3 Flash Preview pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.50 / 1M tokens | |
|---|---|---|
| Output | $3 / 1M tokens | |
| Cached input (read) | $0.05 / 1M tokens | 90% off input |
| Audio input | $1 / 1M tokens |
Gemini 3 Flash Preview providers
27 providers serve it, including Databricks, Vertex and QiHang. The lowest input price is $0.07 per million tokens at QiHang. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Google First party | $0.50 | $3 | $0.05 | 1.05M | 66K |
| Databricks | $0.50 | $3 | $0.05 | 1.05M | 66K |
| Vertex | $0.50 | $3 | $0.05 | 1.05M | 66K |
| QiHang | $0.07 | $0.43 | – | 1.05M | 66K |
| Kilo Gateway | $0.25 | $1.50 | $0.025 | 1.05M | 66K |
| 302.AI | $0.50 | $3 | – | 1M | 66K |
| Abacus | $0.50 | $3 | $0.05 | 1.05M | 66K |
| AIHubMix | $0.50 | $3 | $0.05 | 1.05M | 66K |
| CrossModel | $0.50 | $3 | $0.05 | 1.05M | 66K |
| DevPass (LLM Gateway) | $0.50 | $3 | $0.05 | 1.05M | 66K |
| Eden AI | $0.50 | $3 | $0.05 | 1.05M | 66K |
| FrogBot | $0.50 | $3 | $0.05 | 1.05M | 66K |
Showing 12 of 27 providers: the lab first, then the major clouds, then the cheapest resellers.
What Gemini 3 Flash Preview costs per month
Pick a workload close to yours or type your own volumes.
Independent benchmarks
Measured by third parties, not reported by Google. Each links to its source and shows the date I checked it.
Supported request parameters
What you can set when you call Gemini 3 Flash Preview through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
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Gemini 3 Flash Preview questions
How much does the Gemini 3 Flash Preview API cost?
$0.50 per million input tokens and $3 per million output tokens, with cached input at $0.05. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Gemini 3 Flash Preview?
1,048,576 tokens of input, and it can write up to 65,536 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve Gemini 3 Flash Preview?
27 providers serve it, including Databricks, Vertex and QiHang. The lowest input price is $0.07 per million tokens at QiHang. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does Gemini 3 Flash Preview support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is Gemini 3 Flash Preview open source?
No. Google serves it through an API only, so you cannot download the weights or host it yourself.
When was Gemini 3 Flash Preview released?
Dec 17, 2025, with training data up to Jan 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.
Building on Gemini 3 Flash Preview?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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