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thinkingmachines · Open weights

Inkling Small

Added Jul 31, 2026Open weights

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The direct-answer version of Thinking Machines' 276B-parameter open-weights multimodal Mixture-of-Experts model with 12B active parameters. It accepts text and images, and is designed for coding, tool use, instruction following, and general conversational work.

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

Pricing

USD per 1M tokens
Input
$0.45
Output
$1.20
Cache read
$0.10

Reference prices as published by the model provider. API example

Specifications

Context window
524.3K
Max output
32.8K
Average output (7 days)
577 tokens
Longer than 54% of 465 models

Side by side

Inkling Small compared

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

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Inkling SmallthinkingmachinesThis modelInklingthinkingmachinesRemove
Providerthinkingmachinesthinkingmachines
Discovery tierOpen weightsOpen weights
AddedJul 31, 2026Jul 15, 2026
Limits
Context window524.29K1.05MBest
Max output32.77K32.77K
Average output577 tokens596 tokens
Pricing, USD per 1M tokens
Input$0.45Best$1.00
Output$1.20Best$4.05
Cache read$0.10Best$0.17
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index25.7Best25.0
Coding Index52.9Best52.1
Capabilities
ToolsYesYes
VisionYesYes
Structured outputNoYes
Audio inputYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Inkling Small
  • Inkling

Intelligence Index

  • Inkling Small25.7
  • Inkling25.0

Inkling Small: Better than 62% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Inkling Small: 52.9Top
    • Inkling: 52.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

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

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

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

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

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

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Inkling Small: 911 EloTop
    • Inkling: 832 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

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

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

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

  • AA-LCRv1.1

    Reasoning across long documents

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

  • MLCR-AA

    Long-context reasoning over medical records

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

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

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

  • GPQA Diamond

    Graduate-level science questions

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

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

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

  • SciCode

    Scientific computing in Python

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

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

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

Scores from Artificial Analysis, updated Oct 26, 2026. 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-Small",
    "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-Small",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

thinkingmachines

Other thinkingmachines models, starting with the same family.