NOUMENOpen app
NOUMEN

thinkingmachines · Open weights

Inkling Thinking

Added Jul 15, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

The thinking version of Thinking Machines' 975B-parameter open-weights Mixture-of-Experts generalist with 41B active parameters. It reasons natively over text, images, and audio, and is built for agentic coding, tool use, detailed instruction following, long-context work, and controllable thinking effort.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • Audio input
Input
Text, Images, Audio
Output
Text
Reasoning effort
minimal · low · medium · high · xhigh
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)
1.2K tokens
Longer than 77% of 468 models

Side by side

Inkling Thinking compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Inkling ThinkingthinkingmachinesThis modelClaude Sonnet 4.6AnthropicRemove
ProviderthinkingmachinesAnthropic
Discovery tierOpen weightsFrontier
AddedJul 15, 2026Feb 17, 2026
Limits
Context window1.04MBest1M
Max output32.77K128KBest
Average output1.2K tokens401 tokens
Pricing, USD per 1M tokens
Input$1.00Best$3.00
Output$4.05Best$15.00
Cache read$0.17Best$0.30
Performance
Throughput—129.6 tok/s
Time to first token—1.2 s
Request success (24h)—99.7%
Benchmark indexes
Intelligence Index25.0Best24.7
Coding Index52.1—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputNoYes
Audio inputYesNo
Reasoning effortminimal, low, medium, high, xhighlow, medium, high, xhigh, max

Public evaluations

Benchmarks

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

  • Inkling Thinking
  • Claude Sonnet 4.6

Intelligence Index

  • Inkling Thinking25.0
  • Claude Sonnet 4.624.7

Inkling Thinking tested at xhigh reasoning effort

Inkling Thinking: Better than 61% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Inkling Thinking: 52.1
    • Claude Sonnet 4.6: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Inkling Thinking: 5.0%
    • Claude Sonnet 4.6: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Inkling Thinking: 0.3%
    • Claude Sonnet 4.6: —

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Inkling Thinking: 0.0%
    • Claude Sonnet 4.6: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Inkling Thinking: 832 Elo
    • Claude Sonnet 4.6: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Inkling Thinking: 1,072 Elo
    • Claude Sonnet 4.6: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Inkling Thinking: 12.8%
    • Claude Sonnet 4.6: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Inkling Thinking: 77.3%Top
    • Claude Sonnet 4.6: 68.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Inkling Thinking: 6.1%
    • Claude Sonnet 4.6: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Inkling Thinking: 31.9%Top
    • Claude Sonnet 4.6: 13.3%

  • GPQA Diamond

    Graduate-level science questions

    • Inkling Thinking: 87.2%Top
    • Claude Sonnet 4.6: 79.9%

  • IFBench

    Following precise output instructions

    • Inkling Thinking: —
    • Claude Sonnet 4.6: 41.2%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Inkling Thinking: 1.0%
    • Claude Sonnet 4.6: —

  • SciCode

    Scientific computing in Python

    • Inkling Thinking: 47.0%
    • Claude Sonnet 4.6: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Inkling Thinking: —
    • Claude Sonnet 4.6: 46.2%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Inkling Thinking: —
    • Claude Sonnet 4.6: 79.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Inkling Thinking: 77.3%Top
    • Claude Sonnet 4.6: 68.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Inkling Thinking was tested at xhigh reasoning effort; compare scores measured at the same effort.Artificial Analysis

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:thinking",
    "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="thinkingmachines/inkling:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

thinkingmachines

Other thinkingmachines models, starting with the same family.