CrossModel
Gemini 3 Flash Preview
gemini/gemini-3-flash-preview
Back to model catalog

Gemini · Model guide

Gemini 3 Flash Preview

Compare
gemini/gemini-3-flash-preview

A preview Gemini 3 model that combines Pro-grade reasoning with Flash responsiveness. It accepts text, image, audio and video across a 1M-token context and is tuned for coding, planning and interactive multimodal agents.

Modalities
TextImageAudioVideoText
Context
1M
Max output
66K
Price / 1M tokens
$ 0.50in$ 3.00out
StreamingTool callingJSON outputImage inputThinking mode · can be turned off

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorFrontier intelligence built for speed, with strong agentic coding and multimodal reasoning.source

Best for

  • Responsive coding agents · Google positions it for agentic coding and high-frequency iterative development.(vendor claim)source

  • Interactive multimodal analysis · It combines fast responses with image, audio and video understanding.(vendor claim)source

Neighbouring models
Compare them side by side →

Pricing and billing

Billed per token. Cached input is charged at the cache-read rate.

Price / 1M tokensYou pay
Input$ 0.50
Output$ 3.00
Cache read$ 0.050
Cache write$ 0.50
Estimate a request
$ 0.0110
Estimated cost per request
10.0K × $ 0.50
+ 2.0K × $ 3.00
≈ $ 11.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
65.5K tokens
Input / output modalities
Text + Image + Video + Audio → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· can be turned off
Reasoning effort
minimal · low · medium · high
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsdeepmind.google 1blog.google 2Capabilitiesai.google.dev

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic coding
  • Terminal-Bench 2.1
    pass_rate·Google DeepMind · 2026-05-19effort highTerminus 2setup not fully disclosed

    Comparator result reported in the Gemini 3.5 Flash model card.

    58%
Coding
  • SWE-Bench Verified
    resolved_rate·Google · 2025-12-17effort highsetup not fully disclosed
    78%
Multimodal reasoning
  • MMMU Pro (no tools)
    accuracy·Google · 2025-12-17effort highsetup not fully disclosed
    81.2%
Reasoning
  • Humanity's Last Exam
    accuracy·Google · 2025-12-17effort highsetup not fully disclosed

    No tools.

    33.7%
Scientific reasoning
  • GPQA Diamond
    accuracy·Google · 2025-12-17effort highsetup not fully disclosed
    90.4%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

Claude Code
Anthropic's official command-line coding assistant
Cursor
AI-first code editor
Cline
Open-source AI coding agent for VS Code
Codex
OpenAI's coding agent for ChatGPT desktop and the terminal
OpenCode
Open-source terminal coding assistant
Zed
High-performance, AI-native code editor
Open WebUI
Open-source, self-hosted AI chat interface
Continue
Open-source AI coding assistant for VS Code & JetBrains
See all integration guides →

Frequently asked questions

What is Gemini 3 Flash Preview?
Gemini 3 Flash Preview is available on CrossModel as gemini/gemini-3-flash-preview. It has a 1M-token context window and can return up to 66K tokens per request.
How much does Gemini 3 Flash Preview cost?
Currently $ 0.50 per 1M input tokens and $ 3.00 per 1M output tokens. Cached input is billed at $ 0.050 per 1M.
Does Gemini 3 Flash Preview support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.