Gemini 3.1 Flash Lite
Google· released 7 May 2026
google/gemini-3.1-flash-lite- Input / 1M tokens
- $0.25
- Output / 1M tokens
- $1.5
Longest answer: 66K tokens
About
Gemini 3.1 Flash Lite is a Google multimodal model for low-latency, high-volume workloads. It accepts text, images, video, audio and files, including PDF input, and produces text. Google lists support for vision, tools and reasoning. Its context window is 1,048,576 tokens, with a maximum output of 65,536 tokens. Pricing is USD 0.25 per 1M input tokens and USD 1.5 per 1M output tokens. The model was released on 2026-05-07. Its model ID is google/gemini-3.1-flash-lite. The listed summary describes it as a high-efficiency model designed for lightweight agentic work, making throughput and latency central considerations for teams evaluating it.
Who it is for
Teams handling high-volume, latency-sensitive workloads that need text, image, video, audio or PDF inputs may consider it. It also suits lightweight agentic tasks requiring tool and reasoning support.
What is good
- Accepts text, image, video, audio and file inputs
- Context window of 1,048,576 tokens
- Tool and reasoning support are listed
- Maximum output is 65,536 tokens
What to know first
- Outputs text only
- Input costs USD 0.25 per 1M tokens
- Output costs USD 1.5 per 1M tokens
Verdict
Gemini 3.1 Flash Lite combines broad input modalities with a large context window and tool support. Its listed output is text, with pricing of USD 0.25 per 1M input tokens and USD 1.5 per 1M output tokens.
Details
- Lab
- Googleopenrouter.ai · 3 Oct 2026
- Context
- 1,049Kopenrouter.ai · 3 Oct 2026
- Input price
- $0.25 / 1Mopenrouter.ai · 3 Oct 2026
- Output price
- $1.5 / 1Mopenrouter.ai · 3 Oct 2026
- Max output
- 65,536 tokensopenrouter.ai · 3 Oct 2026
- Inputs
- text, image, video, file, audioopenrouter.ai · 3 Oct 2026
- Open weights
- Noopenrouter.ai · 3 Oct 2026
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Sources
- openrouter.ai/google/gemini-3.1-flash-lite· checked 3 Oct 2026


