Skip to content
  • Models
  • Rankings
  • Ori
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Tools
  • Pricing
  • Business
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Trust Center
  • Support
  • Works With OR
  • Data
  • Brand

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status
  • AI Site Map

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for google

Google: Gemini 3.1 Flash Lite

google/gemini-3.1-flash-lite

Compare

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 workflows, simple data extraction, and applications where responsiveness and API cost are the primary constraints.

Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.

Modalities
In / Out Price
$0.25 / $1.50per 1M
Context
1.0M
Released
May 7, 2026
Compare
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionAI Model RankingsRanking
$0.250$1.50$0.0250$0.0500.79s118 tps
100.00%
$0.250$1.50$0.0250$0.0500.87s112 tps
100.00%
Not used in Standard routing:Why these endpoints are not used
Flex
$0.125$0.75$0.0125$0.02515.85s5 tps
100.00%
Flex
$0.125$0.75$0.0125$0.0250.47s81 tps
100.00%
$0.275$1.65$0.0275$0.0550.72s141 tps
99.96%
$0.275$1.65$0.0275$0.0550.71s201 tps
100.00%
Priority
$0.450$2.70$0.0450$0.0901.06s119 tps
100.00%
Priority
$0.450$2.70$0.0450$0.0900.50s97 tps
100.00%
AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex83.2%74.7%Google Vertex83.3%73.3%auto-routing84.5%71.3%Google Vertex82.3%70.0%Google AI Studio82.7%68.7%
1.
Favicon for https://prod.brokerai.com/
AI Broker
new
116Btokens
2.
Favicon for https://oration.ai/
OrationAI
new
104Btokens
3.
Favicon for https://shelfbeta.com/
Shelf Insights
new
82.2Btokens
4.
Favicon for https://pieces.app/
Pieces.app: Ambient Artificial Memory
Pieces is a private, on-device, long-term memory layer for macOS, Linux, and Windows that proactively captures your work context as it happens. Over time, Pieces becomes your very own “internet of all context”—browse your artificial memories in the Pieces Desktop app, or plug them into the agents you already use: OpenClaw, Hermes, Claude, Cursor, Codex, etc.
48.1Btokens
5.
Favicon for https://hellohaven.ai/
Hello Haven
new
30.1Btokens

Frequently asked questions

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 workflows, simple data extraction, and applications where responsiveness and API cost are the primary constraints.

Gemini 3.1 Flash Lite costs $0.25/M input tokens and $1.50/M output tokens, with separate rates for Cache Read at $0.025/M tokens, Cache Write at $0.08333/M tokens, Image Input at $0.25/M tokens, Input Audio at $0.50/M tokens, Input Audio Cache at $0.05/M tokens, and Web Search at $14.00/1K calls.

Gemini 3.1 Flash Lite has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Yes. Gemini 3.1 Flash Lite accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Gemini 3.1 Flash Lite accepts text, images, video, files such as PDFs, and audio as input and returns text.

Gemini 3.1 Flash Lite is served by 2 providers on OpenRouter: Google Vertex and Google AI Studio. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Gemini 3.1 Flash Lite was released on May 7, 2026.