Tuesday, 10 November 2026 | Updating Daily AI insight, written for builders

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite — Specifications

Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated

Developer Google
Type Fast / high-volume
Modality Text, Image, Video, Audio, PDF → Text
Parameters Undisclosed
Context window 1M
Max output 65K
License Proprietary
Open weights No
Released 2026-07
Input price $0.30 /1M
Output price $2.50 /1M
API providers Gemini API (Google AI Studio), Google Cloud (Gemini Enterprise Agent Platform), Gemini app

Benchmarks

Google-reported SWE-Bench Pro (Public) 54.2%; Terminal-bench 2.1 54.0%; OSWorld-Verified 74.0%; GDPval-AA v2 1140 Elo; GDM-MRCR v2 (8-needle, 128K) 72.2%.

Official page →

What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite (gemini-3.5-flash-lite) is Google’s low-cost, low-latency model for high-volume work such as translation, classification, document parsing and sub-agent tasks. It became generally available on 21 July 2026, alongside Gemini 3.6 Flash, and its model card says it is based on Gemini 3.1 Flash-Lite. It reads text, images, video, audio and PDFs, with a 1,048,576-token input limit and up to 65,536 output tokens, and supports thinking, function calling, search grounding and computer use.

On the Gemini API it costs $0.30 per million input tokens and $2.50 output. Batch and Flex requests cost half ($0.15 / $1.25), Priority costs $0.54 / $4.50, and cached input is $0.03. Google Cloud charges the same global rates, and the Gemini API also offers it on its free tier. Google reports 54.2% on SWE-Bench Pro, 54.0% on Terminal-bench 2.1 and 74.0% on OSWorld-Verified, against 38.3%, 31.0% and 54.3% for Gemini 3.1 Flash-Lite.

It costs far less than Gemini 3.5 Flash ($1.50 / $9.00 on Google Cloud), and Google names it as the replacement for older models: gemini-3.1-flash-lite ($0.25 / $1.50) shuts down on 7 May 2027, and from 1 December 2026 calls to gemini-2.5-flash route to 3.5 Flash-Lite at its rates. Estimate a monthly bill with the AI API cost calculator or see every Gemini rate in our Gemini API pricing guide.

Gemini 3.5 Flash-Lite pricing: API cost per 1M tokens

Input (per 1M tokens)$0.300
Output (per 1M tokens)$2.50
Output/input ratio8.3×
Blended (4:1 in:out)$0.740 per 1M tokens

What Gemini 3.5 Flash-Lite costs per month

Real monthly spend at a 4:1 input-to-output mix — the ratio a typical chat or RAG workload actually produces.

WorkloadTokens / monthCost / month
Side project 1M in / 0.25M out $0.93
Small team 20M in / 5M out $19
Production 200M in / 50M out $185

Run your own numbers in the AI API cost calculator.

Cheaper alternatives to Gemini 3.5 Flash-Lite

ModelBlended $/1MYou save
Llama 3.1 8B open $0.0240 97% cheaper
Mistral NeMo 12B open $0.0292 96% cheaper
Gemma 3 4B open $0.0600 92% cheaper

Frequently asked questions

How much does Gemini 3.5 Flash-Lite cost per 1M tokens?

Gemini 3.5 Flash-Lite costs $0.300 per 1M input tokens and $2.50 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.740 per 1M tokens.

How much does Gemini 3.5 Flash-Lite cost per month?

A small-team workload of 20M input and 5M output tokens a month costs about $19 on Gemini 3.5 Flash-Lite. A side project (1M in / 0.25M out) costs roughly $0.93.

What is a cheaper alternative to Gemini 3.5 Flash-Lite?

Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 97% less than Gemini 3.5 Flash-Lite. It is also open-weight, so self-hosting is an option.

Can I run Gemini 3.5 Flash-Lite locally?

No. Gemini 3.5 Flash-Lite is a closed, API-only model — the weights are not released, so it cannot be self-hosted.

Why does Gemini 3.5 Flash-Lite charge more for output than input?

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemini 3.5 Flash-Lite charges 8.3× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.

See every Gemini model priced side by side: Gemini API pricing.

Prices are the published list rates for the model's primary API and are reviewed as providers change them. Volume, batch and cached-input discounts are not included. Compare every model side by side in the AI models database or the LLM leaderboard.

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