Google: Gemini 3.1 Flash Lite
google/gemini-3.1-flash-lite
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, google/gemini-3.1-flash-lite (canonical ID google/gemini-3.1-flash-lite-20260507) is a generally available Google multimodal model that accepts text, image, video, file, and audio inputs and produces text output. The catalog describes it as a high-efficiency variant aimed at low-latency, high-volume workloads and lightweight agentic tasks, and lists a context window of about one million tokens plus optional, adjustable reasoning. No independent model card was available in this source pack, and the catalog supplies no measured benchmark results, so these capabilities remain vendor-catalog claims.[1]
Strengths
- Catalog-reported multimodal input covering text, images, video, audio, and files (including PDFs per the catalog description), with text-only output.[1]
- A listed context window of about one million tokens, large by catalog specification, which could suit long documents or media-heavy inputs.[1]
- Optional, tunable reasoning (effort levels from none to high, enabled at minimal by default) plus catalog-listed support for tools, structured outputs, seed, and other generation parameters.[1]
Limitations
- Evidence is catalog-only: no independent model card, measured benchmarks, or third-party evaluations were in this source pack, so validation on your own workload is needed.[1]
- Output is text only; knowledge cutoff, license terms, and hardware requirements are not reported in the catalog entry.[1]
- The efficiency and low-latency positioning is a vendor description, not a measured result.[1]
Where to use it
- High-volume, latency-sensitive text generation, if the catalog's efficiency claims hold up in your own testing.[1]
- Multimodal pipelines that mix images, audio, video, or PDFs into prompts and need text responses.[1]
- Lightweight agentic or tool-using workflows, given catalog-listed tool and structured-output support; worth piloting before production reliance.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 3.1 Flash LiteSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
Specifications
- Model ID
- google/gemini-3.1-flash-lite
- Canonical ID
- google/gemini-3.1-flash-lite-20260507
- Creator
- Added to OpenRouter
- 07.05.2026
- 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 $0.250 / out $1.5
- 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 | No measurement | reasoning: optional · default minimal · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default minimal · efforts: high, medium, low, minimal, none · 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
No evaluations are supplied for this model.
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) |
|---|---|---|---|---|---|---|
| 1,048,576 | $0.125 | $0.750 | — | — | 83.33% | |
| Google AI Studio | 1,048,576 | $0.125 | $0.750 | — | — | 100% |
| Google AI Studio | 1,048,576 | $0.250 | $1.5 | — | — | 100% |
| 1,048,576 | $0.250 | $1.5 | — | — | 100% | |
| 1,048,576 | $0.275 | $1.65 | — | — | 100% | |
| 1,048,576 | $0.275 | $1.65 | — | — | 100% | |
| 1,048,576 | $0.450 | $2.7 | — | — | 100% | |
| Google AI Studio | 1,048,576 | $0.450 | $2.7 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.