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Google · Efficient

Gemini Flash Lite Latest

Added Mar 29, 2026

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Use in the app

Compatibility alias that routes to the newest version of Gemini Flash Lite. Currently routes to Gemini 3.5 Flash Lite.

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

Pricing

USD per 1M tokens
Input
$0.30
Output
$2.50
Cache read
$0.03
Cache write
$0.0833

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K

Side by side

Gemini Flash Lite Latest compared

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

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Gemini Flash Lite LatestGoogleThis modelGemini 2.5 Flash LiteGoogleRemove
ProviderGoogleGoogle
Discovery tierEfficientEfficient
AddedMar 29, 2026Jun 17, 2025
Limits
Context window1.05M1.05M
Max output65.54K65.54K
Average output—42 tokens
Pricing, USD per 1M tokens
Input$0.30$0.10Best
Output$2.50$0.40Best
Cache read$0.03$0.01Best
Cache write$0.0833—
Performance
Throughput—250.0 tok/s
Time to first token—0.5 s
Request success (24h)99.8%Best99.5%
Benchmark indexes
Intelligence Index22.2Best6.7
Coding Index49.3—
Math Index—35.3
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesNo
PDF inputYesNo
Audio inputYesYes
Video inputYesYes
Reasoning effortminimal, low, medium, highlow, medium, high

Public evaluations

Benchmarks

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

  • Gemini Flash Lite Latest
  • Gemini 2.5 Flash Lite

Intelligence Index

  • Gemini Flash Lite Latest22.2
  • Gemini 2.5 Flash Lite6.7

Gemini Flash Lite Latest: Better than 53% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini Flash Lite Latest: 49.3
    • Gemini 2.5 Flash Lite: —

  • Math Index

    Composite of the math evaluations

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 35.3

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Gemini Flash Lite Latest: 25.0%
    • Gemini 2.5 Flash Lite: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Gemini Flash Lite Latest: 3.3%
    • Gemini 2.5 Flash Lite: —

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Gemini Flash Lite Latest: 0.0%
    • Gemini 2.5 Flash Lite: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Gemini Flash Lite Latest: 650 Elo
    • Gemini 2.5 Flash Lite: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini Flash Lite Latest: 985 Elo
    • Gemini 2.5 Flash Lite: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Gemini Flash Lite Latest: 13.6%
    • Gemini 2.5 Flash Lite: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini Flash Lite Latest: 76.0%Top
    • Gemini 2.5 Flash Lite: 32.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • Gemini Flash Lite Latest: 10.6%
    • Gemini 2.5 Flash Lite: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini Flash Lite Latest: 18.8%Top
    • Gemini 2.5 Flash Lite: 3.7%

  • GPQA Diamond

    Graduate-level science questions

    • Gemini Flash Lite Latest: 83.8%Top
    • Gemini 2.5 Flash Lite: 47.4%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 72.4%

  • IFBench

    Following precise output instructions

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 31.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Gemini Flash Lite Latest: 1.0%
    • Gemini 2.5 Flash Lite: —

  • SciCode

    Scientific computing in Python

    • Gemini Flash Lite Latest: 41.3%
    • Gemini 2.5 Flash Lite: —

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 40.0%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 35.3%

  • AIME

    Competition mathematics

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 50.0%

  • MATH-500

    Competition math problems

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 92.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 2.3%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini Flash Lite Latest: —
    • Gemini 2.5 Flash Lite: 19.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini Flash Lite Latest: 76.0%Top
    • Gemini 2.5 Flash Lite: 32.0%

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
21.0%
About $0.24 per 1M input tokens with caching
Request success (24h)
99.9%
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 94.7%
  • 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": "google/gemini-flash-lite-latest",
    "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="google/gemini-flash-lite-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.