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Google · Open weights

Gemma 4 12B Instruct

Added Aug 1, 2026Open weights

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Use in the app

Google's Gemma 4 12B Instruct is an open-weight multimodal model for text and image understanding, with tool calling and structured output support.

  • Tools
  • Vision
  • Structured output
Input
Text, Images
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.25
Cache read
$0.025

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
32.8K
Average output (7 days)
162 tokens
Longer than 16% of 465 models

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TryLlama 4 MaverickQwen3 Coder FlashMistral Medium 3.1All 3

Public evaluations

Benchmarks

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

Intelligence Index

9.4

Better than 19% of 326 scored models

3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    35.0%

    Reasoning across long documents

    Better than 16% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    6.3%

    Expert-level questions across academic fields

    Better than 21% of 323 scored models

  • GPQA Diamond

    66.1%

    Graduate-level science questions

    Better than 23% of 291 scored models

  • IFBench

    45.2%

    Following precise output instructions

    Better than 40% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    11.4%

    Earlier terminal task suite

    Better than 24% of 212 scored models

  • τ²-Bench Telecom

    31.9%

    Tool use in a customer-support simulation

    Better than 25% of 214 scored models

  • AA-LCR (unversioned)

    35.0%

    Long-context reasoning, earlier grading

    Better than 16% 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
28.8 tok/s
Faster than 19% of 250 models
Time to first token
3.5 s
Quicker than 50% of 250 models
Prompt cache hits
30.2%
About $0.0425 per 1M input tokens with caching
Request success (24h)
98.3%
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 5.5%
  • 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": "gemma-4-12b-it",
    "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="gemma-4-12b-it",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.