LLMS • CURATED • UPDATED MAY 19, 2026

Gemini 3.5 Flash

Google's fast, capable multimodal model from I/O 2026
Score
32.6 · rank 47
Price
Freemium
API
No
Weights
No

Gemini 3.5 Flash is a mid-tier multimodal model announced at Google I/O on May 19, 2026. It delivers strong reasoning, coding, and long-context performance at lower latency and cost than Ultra-tier models, with native support for text, images, audio, and video inputs.

Gemini 3.5 Flash hits a practical sweet spot for developers and creators who need more capability than entry-level models but do not require the full cost of an Ultra model. Its native multimodal design makes it especially useful for mixed-media tasks.

Pricing Freemium
Platforms web, api
API No
Open Source No
Modalities LLMs, Multimodal Reasoning
Best For Best for Fast Multimodality
Date Added 2026-05-19
  • ✓Native understanding of text, image, audio, and video
  • ✓Lower latency and cost than flagship models
  • ✓Strong long-context retention
  • ✓Broad language and coding support
  • ✓Tight integration with Google Workspace and Cloud
  • ⚠Not as capable as Ultra on the most complex reasoning tasks
  • ⚠Multimodal understanding varies by input quality
  • ⚠API pricing and availability depend on region
  • ⚠Creative writing can feel more generic than specialized models

Access Gemini 3.5 Flash through the Gemini web app or the Google AI Studio / Vertex AI API. Upload documents, images, audio, or video and ask questions or request transformations. For developers, the model works well in RAG, agent, and content-extraction pipelines.

Artificial Analysis Intelligence Index v4.3 · llm
32.6
Rank #47 · 2026-10-13
1 Use Flash for high-volume tasks and reserve Ultra for the hardest reasoning
2 Upload mixed media in a single prompt for richer analysis
3 Take advantage of long-context windows for full document review
4 Combine with Google Cloud tools for enterprise deployments
5 Test pricing across AI Studio and Vertex AI for your scale

Analyzing a Long Video

Summarize and extract insights from lengthy video content.

STEPS:
  1. Upload the video to Gemini
  2. Ask for a timestamped summary
  3. Request key quotes or action items
  4. Cross-reference with an attached document
  5. Export the findings to notes or a report

Building a Multimodal Chatbot

Create a chatbot that handles text, images, and documents.

STEPS:
  1. Set up the Gemini API in your project
  2. Design a system prompt for your bot's persona
  3. Accept multiple media types in the UI
  4. Route user messages to Gemini 3.5 Flash
  5. Parse structured responses and render them
  6. Monitor costs and latency as usage grows
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

View Gemini 3.5 Flash Alternatives (2026) →

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Q

Is Gemini 3.5 Flash free?

A

Gemini 3.5 Flash offers a free tier with optional paid upgrades.

Q

Does Gemini 3.5 Flash have an API?

A

No, Gemini 3.5 Flash does not appear to offer a public API.

Q

What is Gemini 3.5 Flash best for?

A

Gemini 3.5 Flash is best for Fast Multimodality. Gemini 3. Gemini 3.5 Flash hits a practical sweet spot for developers and creators who need more capability than entry-level models but do not require the full cost of an Ultra model. Its native multimodal design makes it especially useful for mixed-media tasks.

Q

What platforms does Gemini 3.5 Flash support?

A

Gemini 3.5 Flash supports web, api.

Q

Is Gemini 3.5 Flash open source?

A

No, Gemini 3.5 Flash is not open source.

Q

How do I get started with Gemini 3.5 Flash?

A

Access Gemini 3.5 Flash through the Gemini web app or the Google AI Studio / Vertex AI API. Upload documents, images, audio, or video and ask questions or request transformations. For developers, the model works well in RAG, agent, and content-extraction pipelines.

Q

How do I use Gemini 3.5 Flash?

A

Gemini 3.5 Flash is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at native understanding of text, image, audio, and video.

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