Gemini 3.1 Flash Lite
API ID gemini-3.1-flash-lite
gemini-3.1-flash-lite is a Google model, released May 2026. It has a 1,048,576-token context window and up to 65,536 output tokens. It takes image and PDF input and supports function calling, structured outputs and reasoning. Standard price: $0.25 input and $1.50 output per 1M tokens.
Gemini 3.1 Flash Lite
- Status
- Deprecated
- Released
- May 2026
- Shutdown
- May 7, 2027 at the earliest
- Replacement
- Gemini 3.5 Flash Litegemini-3.5-flash-lite
It is deprecated; the earliest possible shutdown date is May 7, 2027. It may run longer. Recommended replacement: gemini-3.5-flash-lite.
How to migrate to Gemini 3.5 Flash Lite
Free tier: in place when tracking began (October 7, 2026) (source) · All free models
Benchmarks
Scores as each source published themComparing with Gemini 2.5 Flash-Lite, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features
Epoch AI
| Benchmark | Gemini 3.1 Flash Lite | Gemini 2.5 Flash-Lite | Change | Setting | Run | Source |
|---|---|---|---|---|---|---|
FrontierMath Tiers 1-3Other settings
| 27.7% | not run | high effort | Aug 30, 2026 | source | |
GPQA DiamondOther settings
| 81.8% | not run | high effort | Aug 6, 2026 | source | |
OTIS Mock AIME 2024-2025Other settings
| 80.0% | not run | high effort | Aug 6, 2026 | source |
Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.
On cloud platforms
All platform dates| Platform | Platform ID | State | Shutdown | Time left | Replacement | Source |
|---|---|---|---|---|---|---|
| Google Cloud Vertex AI | gemini-3.1-flash-lite | Active | not before May 7, 2027 | — | source |
Read daily from each platform's own pages. The shutdown date and countdown on this page use Google's own date.
Features
Compare models| Feature | Value | Since | Source |
|---|---|---|---|
| Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup. | Supported | in place when tracking began (October 6, 2026) | source |
| Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result. | Supported | in place when tracking began (October 6, 2026) | source |
| Prompt cachingA prompt prefix you send again and again (system prompt, documents, tools) is cached, so later requests cost less and start faster. | Supported | in place when tracking began (October 6, 2026) | source |
| Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests. | Supported | in place when tracking began (October 6, 2026) | source |
| Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read. | Supported | in place when tracking began (October 6, 2026) | source |
| PDF inputPDF files can go in the prompt directly, without converting them to text first. | Supported | in place when tracking began (October 6, 2026) | source |
| Reasoning / thinkingThe model can work through a problem step by step before it answers: usually better answers to hard questions, at the cost of more tokens and time. | Supported | in place when tracking began (October 6, 2026) | source |
| Built-in web searchThe company's API can search the web for the model during a request and cite its sources; you don't need a search service of your own. | Supported | in place when tracking began (October 6, 2026) | source |
| Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word. | 1,048,576 tokens | in place when tracking began (October 6, 2026) | source |
| Max output tokensThe longest reply the model can write in one response, in tokens. A token is about three-quarters of an English word. | 65,536 tokens | in place when tracking began (October 6, 2026) | source |
Not published by Google: Fine-tuning, temperature parameter, top_p parameter, logprobs.
Price history
USD per 1M tokens, standard tierWe started recording this model's prices on Oct 1, 2026. The history grows with each daily check.
Show as a table
| From | Type | Price |
|---|---|---|
| Oct 1, 2026 | Input | $0.25 |
| Oct 1, 2026 | Output | $1.50 |
Prices
USD per 1M tokens, every type and band, by tier| Type | Modality | Price $/1M | In effect |
|---|---|---|---|
| Standard | |||
| input | audio | $0.50 | |
| input | text/image/video | $0.25 | |
| cached input | audio | $0.05 | |
| cached input | text/image/video | $0.025 | |
| output | — | $1.50 | |
| cache storage per hour | — | $1.00 | |
| Batch | |||
| input | audio | $0.25 | |
| input | text/image/video | $0.125 | |
| cached input | audio | $0.025 | |
| cached input | text/image/video | $0.0125 | |
| output | — | $0.75 | |
| cache storage per hour | — | $0.50 | |
| Flex | |||
| input | audio | $0.25 | |
| input | text/image/video | $0.125 | |
| cached input | audio | $0.025 | |
| cached input | text/image/video | $0.0125 | |
| output | — | $0.75 | |
| cache storage per hour | — | $0.50 | |
| Priority | |||
| input | audio | $0.90 | |
| input | text/image/video | $0.45 | |
| cached input | audio | $0.09 | |
| cached input | text/image/video | $0.045 | |
| output | — | $2.70 | |
| cache storage per hour | — | $1.80 | |
Changelog
Changes we detected on Google's pagesNo changes recorded yet.
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Last checked · Sources: Google deprecations, Google pricing, Google models, Google aliases, Google api models