google

Google: Gemini 3.5 Flash Lite

google/gemini-3.5-flash-lite

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter’s catalog presents google/gemini-3.5-flash-lite as a Google efficiency-focused model for focused subagent work in multi-agent workflows. It accepts text, images, audio, video, and files and returns text. The listing reports a very large context window, mandatory reasoning enabled by default at minimal effort, adjustable reasoning levels, and support for tools and structured outputs. Those are catalog-reported characteristics, while the included benchmark fields are measurements without enough methodology here to judge practical quality. No independent model card was available in this source pack.[1]

Strengths

Catalog-described focus on efficiency and focused subagent tasks.[1]
Accepts a broad range of input modalities and produces text.[1]
Very large context window with configurable reasoning, tools, and structured outputs.[1]

Limitations

Output is limited to text despite the multimodal inputs.[1]
Evidence is catalog-only, with no independent model card in this source pack.[1]
The catalog’s benchmark measurements lack enough methodological context here; validate on the intended workload.[1]

Where to use it

Potentially suitable for focused subagent steps in multi-agent workflows, pending workload testing.[1]
Potentially suitable for text-only applications that inspect mixed media inputs.[1]
Potentially suitable for tool-using structured-output pipelines where mandatory reasoning is acceptable.[1]

Sources

[1] OpenRouter catalog · Google: Gemini 3.5 Flash LiteSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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.

Specifications

Model ID: google/gemini-3.5-flash-lite
Canonical ID: google/gemini-3.5-flash-lite-20260721
Creator: google
Added to OpenRouter: 21.07.2026
Context length: 1,048,576
Modality: text+image+file+audio+video->text
Input modalities: text, image, video, file, audio
Output modalities: text
Token pricing: USD per 1M tokens: in $0.300 / out $2.5
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	CC — below the B band	reasoning: mandatory · default minimal · efforts: high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort
Coding	BB — next 30% of the cohort	—
Agents	BB — next 30% of the cohort	parameters: structured_outputs, tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	reasoning: mandatory · default minimal · efforts: high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort
Document analysis	No measurement	input: file
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	input: audio
Video	No measurement	input: video
Embeddings	No measurement	—

Evaluations

Source	Benchmark	Value	Grade	Data retrieved
Artificial Analysis	Intelligence index	11.7	CC — below the B band	13.11.2026
Artificial Analysis	Coding index	49.3	BB — next 30% of the cohort	13.11.2026
Artificial Analysis	Agentic index	14.3	BB — next 30% of the cohort	13.11.2026

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Google	1,048,576	$0.150	$1.25	—	—	100%
Google AI Studio	1,048,576	$0.150	$1.25	—	—	100%
Google AI Studio	1,048,576	$0.300	$2.5	—	—	100%
Google	1,048,576	$0.300	$2.5	—	—	100%
Google	1,048,576	$0.330	$2.75	—	—	100%
Google	1,048,576	$0.330	$2.75	—	—	100%
Google	1,048,576	$0.540	$4.5	—	—	100%
Google AI Studio	1,048,576	$0.540	$4.5	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.