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Google · Efficient

Gemini 2.5 Flash

Added Jun 5, 2025

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Use in the app

Fast, cost efficient performance on complex tasks. The workhorse of the Gemini series. Stable release with improved capabilities. Audio input costs $1.00 per million audio tokens.

  • Reasoning
  • Tools
  • Vision
  • Audio input
  • Video input
Input
Text, Images, Video, Audio
Output
Text
Reasoning effort
low · medium · high
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.30
Output
$2.50
Cache read
$0.03

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K
Average output (7 days)
368 tokens
Longer than 38% of 468 models

Side by side

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Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

9.9

Better than 20% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    60.3

    Composite of the math evaluations

    Better than 60% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    49.9%

    Reasoning across long documents

    Better than 28% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    4.7%

    Expert-level questions across academic fields

    Better than 14% of 323 scored models

  • GPQA Diamond

    68.3%

    Graduate-level science questions

    Better than 26% of 291 scored models

  • MMLU-Pro

    80.9%

    Multi-subject knowledge and reasoning

    Better than 56% of 132 scored models

  • IFBench

    39.0%

    Following precise output instructions

    Better than 24% of 215 scored models

Coding

  • LiveCodeBench

    49.5%

    Recent competitive programming problems

    Better than 42% of 129 scored models

Math

  • AIME 2025

    60.3%

    Competition mathematics, 2025 problems

    Better than 60% of 118 scored models

  • AIME

    50.0%

    Competition mathematics

    Better than 54% of 72 scored models

  • MATH-500

    93.2%

    Competition math problems

    Better than 57% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    12.1%

    Earlier terminal task suite

    Better than 25% of 212 scored models

  • τ²-Bench Telecom

    14.9%

    Tool use in a customer-support simulation

    Better than 2% of 214 scored models

  • AA-LCR (unversioned)

    49.9%

    Long-context reasoning, earlier grading

    Better than 28% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
197.0 tok/s
Faster than 82% of 252 models
Time to first token
7.6 s
Quicker than 19% of 252 models
Prompt cache hits
39.3%
About $0.19 per 1M input tokens with caching
Request success (24h)
98.4%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 80.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.