Analysis Summary
Gemini 3 Flash Preview is Google's multimodal Flash model, with a one-million-token context window and support for text, images, files, audio, and video. The supplied results show strong mathematics, coding, instruction following, long-context handling, and tool interaction, giving it a broad practical profile despite an intelligence index of 27.9.
It is well suited to high-volume content, SEO analysis, large document sets, codebase review, creative asset inspection, and agents that need to combine several input types. The context capacity can reduce document chunking and preserve more project material in one request. As a preview release, teams should validate output consistency and API behaviour before assigning it to high-stakes client actions.
At $0.50 per million input tokens and $3 per million output tokens, it offers an efficient route to multimodal scale. Use it for volume workflows with monitoring and fallback coverage.
Assessed August 9, 2026
Editorial notes
Gemini 3 Flash Preview offers a 1M token context, multimodal input across image, file, audio, and video, plus strong coding and tool-use results at accessible pricing. Preview status and a lower general reasoning index limit high-stakes use.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3 Flash Preview offers a 1M token context, multimodal input across image, file, audio, and video, plus strong coding and tool-use results at accessible pricing. Preview status and a lower general reasoning index limit high-stakes use.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
38.7 Intelligence Index·97 Math Index
How Google: Gemini 3 Flash Preview compares
Google: Gemini 3 Flash Preview ranks #74 of 427 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.50 per million input tokens it is cheaper than 39% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.50 | $0.000500 |
| Output | $3.00 | $0.003000 |
What would Google: Gemini 3 Flash Preview cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3 Flash Preview for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3 Flash Preview
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool..
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Frequently asked questions about Google: Gemini 3 Flash Preview
How much does Google: Gemini 3 Flash Preview cost?
Google: Gemini 3 Flash Preview costs $0.50 per million input tokens and $3.00 per million output tokens.
What is the context window of Google: Gemini 3 Flash Preview?
Google: Gemini 3 Flash Preview has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 3 Flash Preview do?
Google: Gemini 3 Flash Preview supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3 Flash Preview?
Google: Gemini 3 Flash Preview is developed by Google and was released on December 17, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm