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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 modelGLM 4.7 Original ThinkingZ.aiRemove
ProviderGoogleZ.ai
Discovery tierEfficientOpen weights
AddedMar 29, 2026Dec 22, 2025
Limits
Context window1.05MBest200K
Max output65.54KBest65.54K
Average output—1.9K tokens
Pricing, USD per 1M tokens
Input$0.30Best$0.40
Output$2.50$1.93Best
Cache read$0.03Best$0.0801
Cache write$0.0833—
Performance
Throughput—32.8 tok/s
Time to first token—8.4 s
Request success (24h)99.8%100.0%Best
Benchmark indexes
Intelligence Index22.222.2
Coding Index49.3Best45.3
Math Index—95.0
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputYesYes
PDF inputYesNo
Audio inputYesNo
Video inputYesNo
Reasoning effortminimal, low, medium, high—

Public evaluations

Benchmarks

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

  • Gemini Flash Lite Latest
  • GLM 4.7 Original Thinking

Intelligence Index

  • Gemini Flash Lite Latest22.2
  • GLM 4.7 Original Thinking22.2

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: 49.3Top
    • GLM 4.7 Original Thinking: 45.3

  • Math Index

    Composite of the math evaluations

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 95.0

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Gemini Flash Lite Latest: 25.0%
    • GLM 4.7 Original Thinking: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Gemini Flash Lite Latest: 3.3%
    • GLM 4.7 Original Thinking: —

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Gemini Flash Lite Latest: 0.0%
    • GLM 4.7 Original Thinking: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Gemini Flash Lite Latest: 650 Elo
    • GLM 4.7 Original Thinking: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini Flash Lite Latest: 985 Elo
    • GLM 4.7 Original Thinking: 1,013 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Gemini Flash Lite Latest: 13.6%
    • GLM 4.7 Original Thinking: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini Flash Lite Latest: 76.0%Top
    • GLM 4.7 Original Thinking: 71.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • Gemini Flash Lite Latest: 10.6%
    • GLM 4.7 Original Thinking: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini Flash Lite Latest: 18.8%
    • GLM 4.7 Original Thinking: 27.4%Top

  • GPQA Diamond

    Graduate-level science questions

    • Gemini Flash Lite Latest: 83.8%
    • GLM 4.7 Original Thinking: 85.9%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 85.6%

  • IFBench

    Following precise output instructions

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 67.9%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Gemini Flash Lite Latest: 1.0%
    • GLM 4.7 Original Thinking: —

  • SciCode

    Scientific computing in Python

    • Gemini Flash Lite Latest: 41.3%
    • GLM 4.7 Original Thinking: —

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 89.4%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 95.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 31.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini Flash Lite Latest: —
    • GLM 4.7 Original Thinking: 95.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini Flash Lite Latest: 76.0%Top
    • GLM 4.7 Original Thinking: 71.0%

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.