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Model detail

Gemini 2.5 Flash-Lite

Provided by Google
Pay-as-you-go

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.

Model specs

Model ID
gemini-2.5-flash-lite
Context length
1.048576M
Max output
65.536K
I/O modalities
Released
2025-07

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • Gemini /v1beta/models/{model}:generateContent POST
  • OpenAI-compatible /v1/chat/completions POST

03

Pricing

Flat rate, unit: /1M Tokens

Input

$0.1000 /1M Tokens

Completion

$0.4000 /1M Tokens

Cache read

$0.0100 /1M Tokens

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Flash-Lite intelligence for high-throughput workloads

Gemini 2.5 Flash-Lite: Our most cost-efficient multimodal model, offering the fastest performance for high-frequency, lightweight tasks. Gemini 2.5 Flash-Lite is best for high-volume classification, simple data extraction, and extremely low-latency applications where budget and speed are the primary constraints.. 1,048,576-token context with 65,536-token max output.

What should you check before using it?

1,048,576 context, 65,536 output, multimodal

Supports Caching, Code execution, File search, Function calling, Grounding with Google Maps and more. Knowledge cutoff: 2025-01. Released 2025-07.

Why use it through MixRoute?

Drop-in via Google Gen AI SDK or OpenAI-compatible endpoint

Use the Google Gen AI SDK or call through MixRoute's OpenAI-compatible endpoint. Supports batch API, flex inference, and priority inference for production workloads.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Tool calling

Gemini 2.5 Flash-Lite supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.
Available:

Structured output

Gemini 2.5 Flash-Lite can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.
Available:

Streaming

Gemini 2.5 Flash-Lite supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.
Available:

Prompt caching

Gemini 2.5 Flash-Lite supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.
Available:

Vision input

Gemini 2.5 Flash-Lite can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.
Available:

OpenAI SDK

Call Gemini 2.5 Flash-Lite through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Share of the same prefix read repeatedly, up to 100%

09

FAQ

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs