Gemini 2.5 Flash

Gemini 2.5 Flash is Google's Flash-tier workhorse in the Gemini 2.5 family, positioned as its price-performance choice for low-latency, high-volume tasks that still need reasoning.

input · usd / 1m tok

$0.30

output · usd / 1m tok

$2.50

context window

1mtokens

modalities · in → out

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

pricing

base api ratesusd per 1m tokens

input
$0.30
output
$2.50
cache read
$0.03
audio input
$1.00

providers

Google hosts Gemini 2.5 Flash. 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

  • 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
  • releasedjun 17, 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",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

9.9#80 of 90 models on the gateway

  1. omniscience-42.6#75 of 86
  2. gpqa68.3%#75 of 88
  3. humanity’s last exam4.7%#79 of 89
  1. GPQA68.3%
  2. MMMU-Pro65.5%
  3. AIME 202560.3%
  4. AA-LCR49.9%
  5. LiveCodeBench49.5%
  6. IFBench39.0%
  7. Tau214.9%
  8. Terminal-Bench Hard12.1%
  9. Multilingual LCR8.3%
  10. Humanity’s Last Exam4.7%
  11. CritPt1.4%
  • Intelligence Index9.85
  • Omniscience Index-42.57
  • intelligence index (API)9.9

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 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?

Gemini 2.5 Flash is Google's Flash-tier workhorse in the Gemini 2.5 family, positioned as its price-performance choice for low-latency, high-volume tasks that still need reasoning. It carries the family's built-in thinking capability, so it can reason before responding across coding, mathematics, and scientific work at Flash speed.

How much does Gemini 2.5 Flash cost?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens through the Impossibl API. Cache reads cost $0.03 per million tokens. Audio input costs $1.00 per million audio input tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Gemini 2.5 Flash?

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

What inputs and outputs does Gemini 2.5 Flash support?

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

How do I use Gemini 2.5 Flash through an API?

Gemini 2.5 Flash is available through the Impossibl API. Use google/gemini-2.5-flash 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 released?

Google released Gemini 2.5 Flash on June 17, 2025.

this page describes Gemini 2.5 Flash 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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