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Google · Efficient

Gemini 2.5 Flash Lite Preview (09/2025)

Added Sep 25, 2025

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Use in the app

Deprecated compatibility alias. Requests route to the stable Gemini 2.5 Flash Lite model.

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

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.40
Cache read
$0.01

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K

Side by side

Gemini 2.5 Flash Lite Preview (09/2025) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Gemini 2.5 Flash Lite Preview (09/2025)GoogleThis modelGemini Flash Lite LatestGoogleRemove
ProviderGoogleGoogle
Discovery tierEfficientEfficient
AddedSep 25, 2025Mar 29, 2026
Limits
Context window1.05M1.05M
Max output65.54K65.54K
Pricing, USD per 1M tokens
Input$0.10Best$0.30
Output$0.40Best$2.50
Cache read$0.01Best$0.03
Cache write—$0.0833
Performance
Request success (24h)99.5%99.8%Best
Benchmark indexes
Intelligence Index9.322.2Best
Coding Index—49.3
Math Index46.7—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Audio inputYesYes
Video inputNoYes
Reasoning effortlow, medium, highminimal, low, medium, high

Public evaluations

Benchmarks

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

  • Gemini 2.5 Flash Lite Preview (09/2025)
  • Gemini Flash Lite Latest

Intelligence Index

  • Gemini 2.5 Flash Lite Preview (09/2025)9.3
  • Gemini Flash Lite Latest22.2

Gemini 2.5 Flash Lite Preview (09/2025): Better than 18% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 49.3

  • Math Index

    Composite of the math evaluations

    • Gemini 2.5 Flash Lite Preview (09/2025): 46.7
    • Gemini Flash Lite Latest: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 25.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 3.3%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 650 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 985 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 13.6%

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.5 Flash Lite Preview (09/2025): 49.7%
    • Gemini Flash Lite Latest: 76.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 10.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.5 Flash Lite Preview (09/2025): 5.1%
    • Gemini Flash Lite Latest: 18.8%Top

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.5 Flash Lite Preview (09/2025): 65.1%
    • Gemini Flash Lite Latest: 83.8%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini 2.5 Flash Lite Preview (09/2025): 79.6%
    • Gemini Flash Lite Latest: —

  • IFBench

    Following precise output instructions

    • Gemini 2.5 Flash Lite Preview (09/2025): 41.8%
    • Gemini Flash Lite Latest: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 1.0%

  • SciCode

    Scientific computing in Python

    • Gemini 2.5 Flash Lite Preview (09/2025): —
    • Gemini Flash Lite Latest: 41.3%

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini 2.5 Flash Lite Preview (09/2025): 64.1%
    • Gemini Flash Lite Latest: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini 2.5 Flash Lite Preview (09/2025): 46.7%
    • Gemini Flash Lite Latest: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini 2.5 Flash Lite Preview (09/2025): 7.6%
    • Gemini Flash Lite Latest: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini 2.5 Flash Lite Preview (09/2025): 30.4%
    • Gemini Flash Lite Latest: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.5 Flash Lite Preview (09/2025): 49.7%
    • Gemini Flash Lite Latest: 76.0%Top

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.

Prompt cache hits
0.0%
About $0.10 per 1M input tokens with caching
Request success (24h)
99.5%
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 76.0%
  • 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-lite-preview-09-2025",
    "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-lite-preview-09-2025",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.