Model Library
GoogleReleased March 3, 2026Gemini 3.1 Flash-Lite
Google · Released March 3, 2026
Intelligence score
25
At a glance
- Intelligence
- 25
- Speed
- 339.0tokens/sec
- Latency
- 5.32stime to first token
- Input price
- $0.25per 1M tokens
- Output price
- $1.50per 1M tokens
- Context window
- 3tokens
- Parameters
- —
Summary
Comparison summary
Gemini 3.1 Flash-Lite scores 25 on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 15). Gemini 3.1 Flash-Lite generates output at 339.0 tokens per second (based on Google's API), which is well above average compared to other reasoning models in a similar price tier (median: 99.1 t/s). Gemini 3.1 Flash-Lite costs $0.25 per 1M input tokens (better than average, median: $0.25) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.87), based on Google's API.
Specifications
Technical specifications
| Model name | Gemini 3.1 Flash-Lite |
|---|---|
| Provider | |
| Release date | March 3, 2026 |
| Intelligence score | 25 |
| Speed | 339.0 tokens/sec |
| Latency (TTFT) | 5.32s |
| Input price | $0.25 / 1M tokens |
| Output price | $1.50 / 1M tokens |
| Context window | 3 tokens |
| Parameters | — |
| Reasoning | Yes |
| Input modalities | text, image, audio, video |
| Output modalities | — |
| Open weights | No |
| License | — |
| API availability | — |
| Source | Model Intelligence legacy profile: gemini-3-1-flash-lite-preview |
Pricing
Token prices
Price per 1M tokens
Gemini 3.1 Flash-Lite, as listed in the catalog record
- Input$0.25
- Output$1.50
| Token type | Price per 1M |
|---|---|
| Input | $0.25 |
| Output | $1.50 |
Model Intelligence legacy profile: gemini-3-1-flash-lite-preview
FAQ · 20
Frequently asked questions
Gemini 3.1 Flash-Lite was released on March 3, 2026.
Gemini 3.1 Flash-Lite was created by Google.
Gemini 3.1 Flash-Lite scores 25 on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 15).
Gemini 3.1 Flash-Lite generates output at 339.0 tokens per second (based on Google's API), which is well above average compared to other reasoning models in a similar price tier (median: 99.1 t/s).
Gemini 3.1 Flash-Lite has a time to first token (TTFT) of 5.32s (based on Google's API), which is at the higher end compared to other reasoning models in a similar price tier (median: 1.95s).
Gemini 3.1 Flash-Lite costs $0.25 per 1M input tokens (better than average, median: $0.25) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.87), based on Google's API.
Gemini 3.1 Flash-Lite costs $0.25 per 1M input tokens and $1.50 per 1M output tokens (based on Google's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.22 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, Gemini 3.1 Flash-Lite generated 55M output tokens, which is better than average compared to other reasoning models in a similar price tier (median: 55M).
Yes, Gemini 3.1 Flash-Lite is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Gemini 3.1 Flash-Lite supports text, image, speech, and video input.
Gemini 3.1 Flash-Lite supports text output.
Yes, Gemini 3.1 Flash-Lite supports image input and can analyze, describe, and answer questions about images.
Yes, Gemini 3.1 Flash-Lite is multimodal. It can process text, image, speech, and video input and generate text output.
Gemini 3.1 Flash-Lite has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Gemini 3.1 Flash-Lite is proprietary. The model weights are not publicly available.
Gemini 3.1 Flash-Lite is a proprietary model and Google has not disclosed the model size or parameter count.
Gemini 3.1 Flash-Lite achieves a score of 25 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemini 3.1 Flash-Lite has a knowledge cutoff of January 2025. The model's training data includes information up to this date.
Yes, Gemini 3.1 Flash-Lite is available via API through 1 provider.
Gemini 3.1 Flash-Lite is available through 1 API provider.