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thinkingmachines · Open weights

Inkling

Added Jul 15, 2026Open weights

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Use in the app

The non-thinking version of Thinking Machines' 975B-parameter open-weights Mixture-of-Experts generalist with 41B active parameters. It gives faster direct answers across text, images, and audio, and is built for agentic coding, tool use, detailed instruction following, and long-context work.

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

Pricing

USD per 1M tokens
Input
$1.00
Output
$4.05
Cache read
$0.17

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
32.8K
Average output (7 days)
596 tokens
Longer than 55% of 465 models

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

25.0

Tested at xhigh reasoning effort

Better than 61% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    52.1

    Composite of the coding evaluations

    Better than 50% of 168 scored models

Agentic work

  • AutomationBench-AA

    5.0%

    Workflow automation, penalized for guardrail violations

    Better than 30% 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

  • Harvey LAB-AAv1.1

    0.0%

    Legal tasks passed in full, with no material hallucination

    Better than 0% of 29 scored models

  • AA-Briefcasev1.1

    832 Elo

    Agentic knowledge work, rated head to head

    Better than 31% of 166 scored models

  • GDPval-AAv2.1

    1,072 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 43% of 187 scored models

Document reasoning

  • GDP.pdf

    12.8%

    Professional reasoning over PDF documents, all-pass rate

    Better than 56% of 171 scored models

  • AA-LCRv1.1

    77.3%

    Reasoning across long documents

    Better than 63% of 309 scored models

  • MLCR-AA

    6.1%

    Long-context reasoning over medical records

    Better than 23% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    31.9%

    Expert-level questions across academic fields

    Better than 65% of 323 scored models

  • GPQA Diamond

    87.2%

    Graduate-level science questions

    Better than 69% of 291 scored models

Coding

  • Terminal-Benchv4.0

    1.0%

    Practical software engineering in a terminal

    Better than 37% of 171 scored models

  • SciCode

    47.0%

    Scientific computing in Python

    Better than 38% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    77.3%

    Long-context reasoning, earlier grading

    Better than 63% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Inkling was tested at xhigh reasoning effort; compare scores measured at the same effort.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
0.0%
About $1.00 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 33.3%
  • 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": "thinkingmachines/inkling",
    "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="thinkingmachines/inkling",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

thinkingmachines

Other thinkingmachines models, starting with the same family.