Browse all Thinkingmachines text models

Inkling Small Thinking

thinkingmachines/Inkling-Small:thinking

Inkling Small Thinking

thinkingmachines/Inkling-Small:thinking

The reasoning version of Thinking Machines' 276B-parameter open-weights multimodal Mixture-of-Experts model with 12B active parameters. It reasons over text and images, and is designed for agentic coding, tool use, instruction following, and long workflows with controllable thinking effort.

Added Jul 31, 2026

Model weights

Context Window

524.3K

Max Output

32.8K

Input Price (Auto)

$0.45/1M

Output Price (Auto)

$1.20/1M

Cache Read (Auto)

$0.100/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

26.1

Better than 81% of models compared

Coding Index

52.9

Better than 64% of models compared

Agentic Index

25.0

Better than 66% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

4.8%

Better than 32% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

912 Elo

Better than 48% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1191 Elo

Better than 64% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

11.2%

Better than 51% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

75.7%

Better than 79% of models compared

Reasoning

HLE

Humanity's Last Exam

33.3%

Better than 84% of models compared

CritPt

Research-level physics reasoning

8.3%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

1.0%

Better than 47% of models compared

SciCode

Python programming for scientific computing

49.7%

Better than 56% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

33.2%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

63.0%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

89.5%

Better than 87% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

75.7%

Better than 79% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

34.6%

Last updated Sep 9, 2026

Artificial Analysis

Providers

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Compare Inkling Small Thinking with similar models from the same provider or model family.

Inkling Small

thinkingmachines/Inkling-Small

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.

Inkling

thinkingmachines/inkling

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.

Inkling Thinking

thinkingmachines/inkling:thinking

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.

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