Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite is the lightweight, fastest, and most budget-friendly multimodal model in Google's Gemini 2.5 family, built for ultra-low-latency, cost-sensitive workloads.

input · usd / 1m tok

$0.10

output · usd / 1m tok

$0.40

context window

1mtokens

modalities · in → out

takes text, image, audio and video in, gives text out

pricing

base api ratesusd per 1m tokens

input
$0.10
output
$0.40
cache read
$0.01
audio input
$0.30

providers

Google hosts Gemini 2.5 Flash-Lite. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

  • Google

specifications

takes text, image, audio and video in, gives text outgoogle/gemini-2.5-flash-lite

  • creatorGoogle
  • model typeText generation
  • context window1,000,000 tokens
  • maximum outputnot published
  • input

    takes text, image, audio and video in, gives text out

  • outputtext
  • tool callingnot verified
  • releasedjul 22, 2025
  • endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="google/gemini-2.5-flash-lite",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

6.7#87 of 90 models on the gateway

  1. omniscience-58.8#84 of 86
  2. gpqa47.4%#86 of 88
  3. humanity’s last exam3.7%#86 of 89
  1. MMMU-Pro54.0%
  2. GPQA47.4%
  3. LiveCodeBench40.0%
  4. AIME 202535.3%
  5. AA-LCR32.0%
  6. IFBench31.5%
  7. Tau219.0%
  8. Humanity’s Last Exam3.7%
  9. Terminal-Bench Hard2.3%
  10. CritPt0.0%
  • Intelligence Index6.67
  • Omniscience Index-58.78
  • intelligence index (API)6.7

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-09-11.

compare Gemini 2.5 Flash-Lite with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

impossibl models --all →

frequently asked questions

What is Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is the lightweight, fastest, and most budget-friendly multimodal model in Google's Gemini 2.5 family, built for ultra-low-latency, cost-sensitive workloads. It trades some capability for throughput, with faster token generation than Gemini 2.5 Flash while keeping the family's optional reasoning mode.

How much does Gemini 2.5 Flash-Lite cost?

Gemini 2.5 Flash-Lite costs $0.10 per million input tokens and $0.40 per million output tokens through the Impossibl API. Cache reads cost $0.01 per million tokens. Audio input costs $0.30 per million audio input tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite has a 1,000,000-token context window through the Impossibl API.

What inputs and outputs does Gemini 2.5 Flash-Lite support?

Gemini 2.5 Flash-Lite accepts text, image, audio, and video as input. Gemini 2.5 Flash-Lite returns text.

How do I use Gemini 2.5 Flash-Lite through an API?

Gemini 2.5 Flash-Lite is available through the Impossibl API. Use google/gemini-2.5-flash-lite as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Gemini 2.5 Flash-Lite released?

Google released Gemini 2.5 Flash-Lite on July 22, 2025.

this page describes Gemini 2.5 Flash-Lite as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

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