Analysis Summary
Google's Gemini 3.5 Flash supports text, image, file, audio, and video input, with vision, tool use, and function calling. Its 1M-token context window is well suited to large document workflows, multimodal research, code repositories, and content operations. The supplied pricing is lower than the premium configurations, though not the cheapest Flash option listed.
It can serve as a versatile agency model for document analysis, SEO systems, media-aware content production, and tool-connected automation. This batch variant has no separate benchmark record, so answer quality and agentic consistency are not independently established. Run representative client evaluations before assigning it unsupervised actions, then route high-volume routine work here if quality meets the required threshold.
Assessed August 9, 2026
Editorial notes
Gemini 3.5 Flash combines a 1M-token context, multimodal input, vision, tool use, and function calling for fast, broad workflow coverage. This batch variant has no separate benchmark record, so reliability should be tested before critical deployment.
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DFO Verdict
Gemini 3.5 Flash combines a 1M-token context, multimodal input, vision, tool use, and function calling for fast, broad workflow coverage. This batch variant has no separate benchmark record, so reliability should be tested before critical deployment.
How Google: Gemini 3.5 Flash (batch) compares
Its 1M-token context window is larger than 95% of the models we list. At $0.75 per million input tokens it is cheaper than 31% 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 value. 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 | $0.75 | $0.000750 |
| Output | $4.50 | $0.004500 |
What would Google: Gemini 3.5 Flash (batch) 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.5 Flash (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.5 Flash (batch)
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution..
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Frequently asked questions about Google: Gemini 3.5 Flash (batch)
How much does Google: Gemini 3.5 Flash (batch) cost?
Google: Gemini 3.5 Flash (batch) costs $0.75 per million input tokens and $4.50 per million output tokens.
What is the context window of Google: Gemini 3.5 Flash (batch)?
Google: Gemini 3.5 Flash (batch) has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 3.5 Flash (batch) do?
Google: Gemini 3.5 Flash (batch) supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.5 Flash (batch)?
Google: Gemini 3.5 Flash (batch) is developed by Google and was released on May 19, 2026.
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 10, 2026 8:38 pm