NOUMENOpen app
NOUMEN

ibm · Open weights

Granite 4.2 8B

Added Aug 31, 2026Open weights

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Use in the app

IBM Granite 4.2 8B is an Apache 2.0-licensed dense model with native step-by-step reasoning and specialized training for agentic work. It can plan before acting, sequence tools, navigate codebases, work in terminals, and verify results across coding, search, mathematics, science, and complex instruction-following tasks.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
none · low · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.15
Cache read
$0.05

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
—
Average output (7 days)
2.4K tokens
Longer than 94% of 468 models

Side by side

Compare models

Put Granite 4.2 8B next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

TryGPT 5.4 MiniGLM 4.5 AirQwen3 Next 80B A3B (Thinking)All 3

Public evaluations

Benchmarks

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

Intelligence Index

11.1

Better than 23% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    22.4

    Composite of the coding evaluations

    Better than 16% of 168 scored models

Agentic work

  • AutomationBench-AA

    2.1%

    Workflow automation, penalized for guardrail violations

    Better than 13% of 173 scored models

  • AutomationBench-AA tasks completed

    0.3%

    Workflows finished end to end without a guardrail violation

    Better than 19% of 173 scored models

  • AA-Briefcasev1.1

    310 Elo

    Agentic knowledge work, rated head to head

    Better than 9% of 166 scored models

  • GDPval-AAv2.1

    491 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 12% of 187 scored models

Document reasoning

  • GDP.pdf

    0.6%

    Professional reasoning over PDF documents, all-pass rate

    Better than 2% of 171 scored models

  • AA-LCRv1.1

    45.0%

    Reasoning across long documents

    Better than 21% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    9.7%

    Expert-level questions across academic fields

    Better than 30% of 323 scored models

  • GPQA Diamond

    63.1%

    Graduate-level science questions

    Better than 19% of 291 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    31.5%

    Scientific computing in Python

    Better than 5% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    45.0%

    Long-context reasoning, earlier grading

    Better than 21% 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.

Prompt cache hits
33.9%
About $0.0831 per 1M input tokens with caching
Request success (24h)
100.0%
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 100.0%
  • 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": "ibm-granite/granite-4.2-8b",
    "reasoning_effort": "none",
    "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="ibm-granite/granite-4.2-8b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)