# Gemini 3.5 Flash

> Gemini 3.5 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-3-5-flash
- Run it: https://artifio.ai/create/gemini-3-5-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: ~30s (catalogue estimate)
- Full pricing table: https://artifio.ai/pricing/models

## About Gemini 3.5 Flash

Gemini 3.5 Flash is the first model of Google's Gemini 3.5 family, announced at Google I/O on May 19, 2026 under the banner of frontier intelligence with action. Where earlier Gemini releases centered on chat, 3.5 Flash is built for agents: long-horizon, multi-step work such as coding pipelines and research projects that run for hours with occasional human check-ins. TechCrunch framed the launch as Google betting its next AI wave on agents rather than chatbots.

Unusually for a frontier release it went generally available the day it was announced, becoming the default model in the Gemini app and AI Mode in Search worldwide.

## Features

- Google reports it outperforming Gemini 3.1 Pro, its own Pro-tier flagship from three months earlier, on coding, agentic and multimodal benchmarks.
- Launch scores include 76.2% on Terminal-Bench 2.1, 1656 Elo on GDPval-AA, 83.6% on MCP Atlas and 84.2% on CharXiv Reasoning.
- About 4x faster than other frontier models in output tokens per second, by Google's measurement.
- Designed for long-horizon autonomy: it can run for hours on tasks like financial document preparation or code maintenance, pausing for human input on sensitive decisions.
- Co-developed with Antigravity, Google's agent-first development platform, and generally available there plus the Gemini API in Google AI Studio and Android Studio, Vertex AI and Gemini Enterprise.

## What people use it for

- Autonomous coding agents that execute whole pipelines, from multi-file changes to sustained code maintenance.
- Long-running research or analysis projects compressed from weeks of manual work into hours.
- Tool-driven workflows over MCP, where its MCP Atlas score signals reliable multi-tool orchestration.
- Everyday assistant traffic at global scale, as the default model in the Gemini app and AI Mode in Search.
- Agentic document work such as preparing financial filings, one of Google's named launch examples.

## Reported strengths

- Frontier-level agentic and coding performance at Flash-tier speed and cost, beating the larger 3.1 Pro on Google's cited benchmarks.
- Day-one general availability rather than a drawn-out preview.
- The 4x output-speed advantage compounds in agent loops, where each step's latency multiplies across a long task.
- Deep platform integration from consumer surfaces to Antigravity, Vertex AI and Gemini Enterprise.

## Reported limitations

- Benchmark and speed claims were Google's own launch numbers, with independent verification still to come.
- The family's ceiling was unavailable at launch: Gemini 3.5 Pro was still internal, promised for the following month.
- TechCrunch noted safety scrutiny around deploying autonomous agents this broadly, and Google acknowledges the risk surface grows as agents act on users' behalf.

## Sources

1. Gemini 3.5: frontier intelligence with action (Google): https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/
2. With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots (TechCrunch): https://techcrunch.com/2026/05/19/with-gemini-3-5-flash-google-bets-its-next-ai-wave-on-agents-not-chatbots/

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