Gemini 3 Flash
Gemini 3 Flash delivers Gemini 3's pro-grade reasoning at flash-level latency and cost, outperforming Gemini 2.5 Pro across most benchmarks with meaningful gains in token efficiency.
- Input and output price
- Prices from: Input $0.50, Output $3, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'google/gemini-3-flash', prompt: 'Why is the sky blue?'})Copy link to headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingPlayground
Try out Gemini 3 Flash by Google. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Gemini 3 Flash
Gemini 3 Flash
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Copy link to headingMore models by Google
| Model |
|---|
| 1M | 1.6 s | 366 tps | $0.75/M | $3.75/M | Read$0.08/M | $14/K+1 more | +3 |  | 09/02/2026 | |||||
| 1M | 0.8 s | 273 tps | $0.75/M | $3.75/M | Read$0.08/M | $14/K+1 more | +3 | | 08/13/2026 | |||||
| 1M | 0.5 s | 446 tps | $0.30/M | $2.50/M | Read$0.03/M | $14/K+1 more | +3 | | 07/21/2026 | |||||
| 1M | 1.8 s | 156 tps | $0.75/M | $3.75/M | Read$0.08/M | $14/K+1 more | +3 | | 07/21/2026 | |||||
| 1M | 0.6 s | 245 tps | $0.25/M | $1.50/M | Read$0.03/M | $14/K+1 more | +3 | | 05/07/2026 | |||||
| 1M | 0.3 s | 276 tps | $0.10/M | $0.40/M | Read$0.01/M | $35/K+1 more | +3 | | 06/17/2025 |
Copy link to headingAbout Gemini 3 Flash
Gemini 3 Flash is Google's speed-optimized model in the Gemini 3 generation, combining Gemini 3's reasoning depth with the efficiency profile of the Flash tier. It outperforms Gemini 2.5 Pro across most benchmarks, meaning a speed-tier model now surpasses a previous-generation flagship. Gemini 3 Flash achieves this with meaningful gains in token efficiency over the 2.5 generation. See live metrics on this page for current throughput.
Thinking is first-class in Gemini 3 Flash. The thinkingLevel and includeThoughts provider options let you surface intermediate reasoning steps. This helps when debugging multi-step pipelines, constructing chain-of-thought datasets, or validating that Gemini 3 Flash reasons through a problem correctly. Set thinkingLevel to high when the task demands deeper inference and your latency budget allows it.
Because Gemini 3 Flash sits at the intersection of quality and throughput, it fits a wide range of real-world traffic patterns, from low-latency chat interfaces to batch document processing pipelines. Accessing it through AI Gateway adds observability, automatic retries, and provider failover without requiring a Google Cloud account.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: Gemini 3 Flash supports configurable thinking levels (
highincluded) viaproviderOptions, giving you direct control over how much reasoning compute the model applies per request. - Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use Gemini 3 Flash
Best for
- Real-time chat and assistants: Interfaces that require pro-level reasoning without high latency
- High-volume agentic pipelines: Per-token cost directly affects operating expenses
- Step-by-step analysis: Tasks where surfacing intermediate reasoning (
includeThoughts) adds value - Throughput-bottlenecked apps: Applications previously constrained by Gemini 2.5 Pro throughput limits
- Cost-sensitive production workloads: Production traffic where per-token cost matters but quality still has to stay benchmark-competitive
Consider alternatives when
- Maximum reasoning depth: Your task requires the deepest reasoning regardless of cost or speed (consider
google/gemini-3-pro-previeworgoogle/gemini-3.1-pro-preview) - Native image generation needed: You require image output alongside text (consider
google/gemini-3-pro-imageorgoogle/gemini-3.1-flash-image-preview) - Budget and latency dominate: Task quality requirements are low (consider
google/gemini-3.1-flash-lite-preview)
Copy link to headingConclusion
Gemini 3 Flash resets expectations for what a speed-tier model can deliver, matching or exceeding previous-generation Pro quality at a fraction of the cost and latency. For teams that need scalable intelligence rather than raw capability, it represents a cost- and latency-efficient entry point into the Gemini 3 generation on AI Gateway.