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Google · Efficient

Gemini 3 Flash (Preview)

Added Dec 17, 2025

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Use in the app

Google's Gemini 3 Flash preview model optimized for speed while maintaining high capability. Features sub-second response times with strong multimodal understanding and reasoning. Audio input costs $1.00 per million audio tokens.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • 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
$0.50
Output
$3.00
Cache read
$0.05

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K
Average output (7 days)
592 tokens
Longer than 54% of 465 models

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TryGPT 5.4Muse Glimmer 30BGLM 4.7All 3

Public evaluations

Benchmarks

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

Intelligence Index

17.9

Better than 47% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    55.7

    Composite of the math evaluations

    Better than 50% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    55.3%

    Reasoning across long documents

    Better than 33% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    15.0%

    Expert-level questions across academic fields

    Better than 42% of 323 scored models

  • GPQA Diamond

    81.2%

    Graduate-level science questions

    Better than 49% of 291 scored models

  • MMLU-Pro

    88.2%

    Multi-subject knowledge and reasoning

    Better than 99% of 132 scored models

  • IFBench

    55.1%

    Following precise output instructions

    Better than 56% of 215 scored models

Coding

  • LiveCodeBench

    79.7%

    Recent competitive programming problems

    Better than 82% of 129 scored models

Math

  • AIME 2025

    55.7%

    Competition mathematics, 2025 problems

    Better than 50% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    31.8%

    Earlier terminal task suite

    Better than 58% of 212 scored models

  • τ²-Bench Telecom

    43.3%

    Tool use in a customer-support simulation

    Better than 35% of 214 scored models

  • AA-LCR (unversioned)

    55.3%

    Long-context reasoning, earlier grading

    Better than 33% 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
211.2 tok/s
Faster than 86% of 250 models
Time to first token
1.3 s
Quicker than 90% of 250 models
Prompt cache hits
58.7%
About $0.24 per 1M input tokens with caching
Request success (24h)
99.8%
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 94.1%
  • 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-3-flash-preview",
    "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-3-flash-preview",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.