Analysis Summary
Gemini 3.5 Flash Lite batch is built for high-volume multimodal processing, accepting text, images, files, audio, and video across a context window exceeding one million tokens. Function calling and tool use extend it beyond simple generation into structured extraction, content operations, and workflow routing.
The listed $0.15 input and $1.25 output prices make it attractive for routine SEO production, classification, brief processing, and media-heavy automation. This batch variant has no independent benchmark data, however, so its instruction-following precision, reasoning depth, and production consistency remain unknown.
Adopt it first for low-risk, reviewable tasks where cost and throughput dominate. Keep complex strategy, final editorial approval, and autonomous actions with a benchmarked model.
Assessed August 9, 2026
Editorial notes
Gemini 3.5 Flash Lite batch combines multimodal input, a million-token context, and tool calling with very low listed pricing, but it has no independent benchmark data.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3.5 Flash Lite batch combines multimodal input, a million-token context, and tool calling with very low listed pricing, but it has no independent benchmark data.
How Google: Gemini 3.5 Flash Lite (batch) compares
Its 1M-token context window is larger than 95% of the models we list. At $0.15 per million input tokens it is cheaper than 61% 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 | $0.15 | $0.000150 |
| Output | $1.25 | $0.001250 |
What would Google: Gemini 3.5 Flash Lite (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 714 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 Lite (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.5 Flash Lite (batch)
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Explore Related Models
Frequently asked questions about Google: Gemini 3.5 Flash Lite (batch)
How much does Google: Gemini 3.5 Flash Lite (batch) cost?
Google: Gemini 3.5 Flash Lite (batch) costs $0.15 per million input tokens and $1.25 per million output tokens.
What is the context window of Google: Gemini 3.5 Flash Lite (batch)?
Google: Gemini 3.5 Flash Lite (batch) has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 3.5 Flash Lite (batch) do?
Google: Gemini 3.5 Flash Lite (batch) supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.5 Flash Lite (batch)?
Google: Gemini 3.5 Flash Lite (batch) is developed by Google and was released on July 21, 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 22, 2026 8:38 pm