# Gemini 3 Flash

> Gemini 3 Flash is available on Artifio.ai — a unified AI workspace with a single pay-as-you-go wallet.

- Canonical page: https://artifio.ai/models/gemini-3-flash
- Run it: https://artifio.ai/create/gemini-3-flash
- Modality: prompt to text
- Model brand: Google
- Pricing: from about $0.050 per generation (exact cost shown in the workspace before you confirm; varies with selected options)
- Typical generation time: ~15s (catalogue estimate)
- Full pricing table: https://artifio.ai/pricing/models

## About Gemini 3 Flash

Gemini 3 Flash is the speed-focused model of Google's Gemini 3 generation, released on December 17, 2025 with the pitch of Pro-grade reasoning at Flash-level speed and cost. Google made it the default model in the Gemini app globally on launch day, replacing Gemini 2.5 Flash, and rolled it into AI Mode in Search.

TechCrunch described it as Google's workhorse model: the tier meant to carry bulk everyday and agentic traffic while Gemini 3 Pro handles the hardest reasoning.

## Features

- Frontier-class benchmark scores for a fast tier: 90.4% on GPQA Diamond and 33.7% on Humanity's Last Exam without tools.
- 78% on SWE-bench Verified for agentic coding and 81.2% on MMMU-Pro for multimodal reasoning.
- Measured at 3x the speed of Gemini 2.5 Pro by Artificial Analysis, while using about 30% fewer output tokens on everyday tasks.
- Runs at less than a quarter of Gemini 3 Pro's cost, with context caching and a batch mode for further savings on repeated or asynchronous work.
- Multimodal input including video and image analysis.
- Available through the Gemini API in Google AI Studio, Antigravity, Gemini CLI, Android Studio, Vertex AI and Gemini Enterprise.

## What people use it for

- Default-assistant workloads at consumer scale, the role it plays in the Gemini app and AI Mode in Search.
- Agentic pipelines where per-step latency and token cost compound across many calls.
- Coding tasks, where its 78% SWE-bench Verified score arrives at a fraction of Pro pricing.
- Video and image analysis in interactive apps that cannot wait on a slower frontier model.
- High-volume document processing where token efficiency drives the bill.

## Reported strengths

- Outperforms the previous flagship Gemini 2.5 Pro across a range of benchmarks while costing less to run.
- Reasoning scores land close to Gemini 3 Pro's despite the speed positioning.
- Token efficiency compounds with the raw speed advantage, so real workloads cost less than per-token prices suggest.
- Battle-tested at consumer scale as the global default in the Gemini app.

## Reported limitations

- Trails Gemini 3 Pro on the hardest benchmarks, 33.7% versus 37.5% on Humanity's Last Exam and 90.4% versus 91.9% on GPQA Diamond, so Google keeps Pro as the deep-reasoning tier.
- Per-token prices rose over Gemini 2.5 Flash; the efficiency argument depends on its lower token usage holding for your workload.
- Google's speed comparisons at launch were against its own 2.5 generation rather than rival frontier models.

## Sources

1. Gemini 3 Flash: frontier intelligence built for speed (Google): https://blog.google/products/gemini/gemini-3-flash/
2. Build with Gemini 3 Flash: frontier intelligence that scales with you (Google): https://blog.google/technology/developers/build-with-gemini-3-flash/
3. Google launches Gemini 3 Flash, makes it the default model in the Gemini app (TechCrunch): https://techcrunch.com/2025/12/17/google-launches-gemini-3-flash-makes-it-the-default-model-in-the-gemini-app/

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