Google: Gemini 3.1 Flash Lite Preview
google/gemini-3.1-flash-lite-preview
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Google's Gemini 3.1 Flash Lite Preview is, according to its OpenRouter catalog listing, a high-efficiency model aimed at high-volume workloads. The listing reports multimodal inputs spanning text, images, audio, video, and files, with text-only output, plus optional reasoning whose effort can be tuned from none to high, alongside tool calling and structured outputs. Google's catalog description claims it improves on Gemini 2.5 Flash Lite in overall quality; this is a vendor-reported claim, not independently verified here. Because only catalog data was supplied and no independent model card was available in this source pack, real-world behavior should be validated on your own workloads.[1]
Strengths
- The OpenRouter catalog lists broad multimodal input support, accepting text, images, audio, video, and files, with text as the output modality.[1]
- Reasoning is optional and enabled by default at minimal effort, with selectable effort levels ranging from none to high, per the catalog's listed parameters.[1]
- The catalog lists support for tool calling with tool choice, structured outputs, a specified response format, seed, and sampling controls such as temperature and top-p.[1]
Limitations
- Evidence is limited to the OpenRouter catalog; no independent model card was available in this source pack, so vendor-described quality improvements over Gemini 2.5 Flash Lite remain unverified claims and should be validated on your workload.[1]
- This is a preview release, and the catalog does not list a knowledge cutoff or expiration date, so long-term availability and training-data recency are unknown.[1]
- Output is restricted to text; the catalog lists no image, audio, or other non-text output modalities.[1]
Where to use it
- Potentially well suited to high-volume, cost-sensitive tasks such as classification, summarization, or routing, given the catalog's positioning as a high-efficiency model; confirm fit empirically before committing.[1]
- Worth evaluating for pipelines that need text answers derived from mixed inputs like images, audio, video, or documents, since the catalog lists all of these as accepted input modalities.[1]
- A reasonable candidate for applications that want adjustable reasoning effort combined with tool use or structured outputs, which the catalog lists as supported parameters.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 3.1 Flash Lite PreviewSources 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 Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...
Specifications
- Model ID
- google/gemini-3.1-flash-lite-preview
- Canonical ID
- google/gemini-3.1-flash-lite-preview-20260303
- Creator
- Added to OpenRouter
- 03.03.2026
- 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 | CC — below the B band | reasoning: optional · default minimal · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | CC — below the B band | — |
| Agents | CC — below the B band | 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 6.2 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Coding index | 34.7 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Agentic index | 1.6 | CC — below the B band | 13.11.2026 |
| Design Arena | models · 3dwin rate 38.7% · rank 115 | 1,031Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · asciiartwin rate 50.8% · rank 35 | 1,162Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 36.5% · rank 117 | 1,063Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · datavizwin rate 33.3% · rank 113 | 1,043Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · gamedevwin rate 33.7% · rank 123 | 1,020Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · svgwin rate 42.5% · rank 81 | 1,044Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 37.7% · rank 111 | 1,062Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 36.6% · rank 118 | 1,075Elo | CC — below the B band | 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 AI Studio | 1,048,576 | $0.125 | $0.750 | — | — | 100% |
| Google AI Studio | 1,048,576 | $0.250 | $1.5 | — | — | 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.