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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

Inkling compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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InklingthinkingmachinesThis modelInkling SmallthinkingmachinesRemove
Providerthinkingmachinesthinkingmachines
Discovery tierOpen weightsOpen weights
AddedJul 15, 2026Jul 31, 2026
Limits
Context window1.05MBest524.29K
Max output32.77K32.77K
Average output596 tokens577 tokens
Pricing, USD per 1M tokens
Input$1.00$0.45Best
Output$4.05$1.20Best
Cache read$0.17$0.10Best
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index25.025.7Best
Coding Index52.152.9Best
Capabilities
ToolsYesYes
VisionYesYes
Structured outputYesNo
Audio inputYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Inkling
  • Inkling Small

Intelligence Index

  • Inkling25.0
  • Inkling Small25.7

Inkling tested at xhigh reasoning effort

Inkling: Better than 61% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Inkling: 52.1
    • Inkling Small: 52.9Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Inkling: 5.0%Top
    • Inkling Small: 4.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Inkling: 0.3%
    • Inkling Small: 0.6%Top

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Inkling: 0.0%Top
    • Inkling Small: 0.0%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Inkling: 832 Elo
    • Inkling Small: 911 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Inkling: 1,072 Elo
    • Inkling Small: 1,124 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Inkling: 12.8%Top
    • Inkling Small: 11.2%

  • AA-LCRv1.1

    Reasoning across long documents

    • Inkling: 77.3%Top
    • Inkling Small: 75.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Inkling: 6.1%
    • Inkling Small: 7.8%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Inkling: 31.9%
    • Inkling Small: 33.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • Inkling: 87.2%
    • Inkling Small: 89.5%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Inkling: 1.0%Top
    • Inkling Small: 1.0%Top

  • SciCode

    Scientific computing in Python

    • Inkling: 47.0%
    • Inkling Small: 49.7%Top

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Inkling: 77.3%Top
    • Inkling Small: 75.7%

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.