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  1. Models
  2. Text
  3. Thinking Machines

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.

  • Vision
  • Audio Input
  • Tool Calling
  • Structured Output

Added Jul 15, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$1.00
Output
$4.05
Cache read
$0.17
Compare provider prices

Specifications

Context window
1M
Max output
32.8K
Parameters
975B / 41B
Total / active

Benchmarks

Sourced from LMArena.

Arena Score

1442.5

Overall Rank

#95 / 421

Votes

50,718

Confidence Interval

1438.4 - 1446.6

Category Scores

Coding

#91 / 416

13,407 votes

1494.0

Math

#39 / 404

2,332 votes

1479.0

Longer Query

#111 / 399

23,559 votes

1442.2

Creative Writing

#132 / 419

11,132 votes

1388.7

Instruction Following

#104 / 421

18,192 votes

1426.7

Hard Prompts

#94 / 421

33,073 votes

1463.1

Additional Categories
22

Japanese

#57 / 288

780 votes

1436.5

Industry Mathematical

#70 / 402

2,740 votes

1465.7

Korean

#78 / 289

813 votes

1404.2

Polish

#85 / 243

751 votes

1446.9

Expert

#90 / 371

5,649 votes

1473.8

Industry Software And It Services

#91 / 421

19,285 votes

1483.7

Non English

#91 / 421

30,357 votes

1431.4

French

#94 / 301

1,652 votes

1463.1

Industry Life And Physical And Social Science

#94 / 419

8,255 votes

1459.5

Spanish

#94 / 304

1,611 votes

1438.8

Chinese

#95 / 395

3,937 votes

1478.5

Russian

#96 / 385

6,469 votes

1437.9

German

#97 / 320

786 votes

1438.1

Exclude Ties

#98 / 421

37,655 votes

1440.4

Industry Business And Management And Financial Operations

#99 / 414

9,330 votes

1442.8

Multi Turn

#101 / 419

7,926 votes

1446.2

English

#102 / 421

20,352 votes

1447.6

Hard Prompts English

#103 / 419

13,253 votes

1463.4

Industry Medicine And Healthcare

#107 / 391

3,426 votes

1454.2

Industry Legal And Government

#111 / 393

4,132 votes

1442.7

Industry Writing And Literature And Language

#114 / 420

14,346 votes

1407.0

Industry Entertainment And Sports And Media

#120 / 419

13,302 votes

1395.9

Published 2026-11-11 · Matched as Inkling · CC BY 4.0

LMArena Dataset

Leaderboard results

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 14, 2026

Epoch Capabilities Index

148.4

#68 of 115

FrontierMath v2 (Tiers 1–3)

33.3%

#66 of 83

GPQA Diamond

88.3%

#52 of 119

SimpleQA Verified

40.3%

#51 of 82

FrontierMath v2 (Tier 4)

4.9%

#62 of 67

OTIS Mock AIME 2024–2025

88.9%

#61 of 121

Chess Puzzles

21.0%

#63 of 82

Sierra τ-bench

tau2-bench data, MIT · Updated Aug 4, 2026

τ³-Banking

25.0%

#15 of 18

EQ-Bench

EQ-Bench data, MIT · Updated Nov 14, 2026

EQ-Bench 4

1212

#16 of 31

Creative Writing v3

1609

#43 of 96

Longform Writing

72.5

#35 of 97

Filtered and ranked to models on NanoGPT.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$1.00$4.05$0.17N/AN/A
Auto
Auto (Anonymized)
$1.00$4.05$0.17N/AN/A
Fireworks
Fireworks
US
$1.05$4.25$0.179N/AN/A
Together
Together
US
$1.05$4.25$0.179N/AN/A
Privacy:ZDR, prompts not retainedNo training on prompts
Batch API
ProviderInputOutputCached input
Auto
Autothinkingmachines/inkling
$1.00/M$4.05/M$0.17/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Inkling 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 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.

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.

Gemini 4 Hydrogen

google/gemini-4-hydrogen

Google's Gemini 4 Hydrogen is a reasoning model for coding, problem solving, and multi-step tasks that use tools. It accepts text, images, audio, video, and PDFs and produces text, with tool calling and structured outputs. Its 1,048,576-token context is shared across input, thinking, and output, with up to 65,536 combined thinking and output tokens per response. Choose low, medium, high, or extra-high thinking; high is the default.

ERNIE Light DT 1.0 (Intl)

baidu/ernie-light-dt-1.0-intl

ERNIE Light DT 1.0 (Intl) is Baidu's text model with Baidu Sparse Attention for working with long conversations and documents. It supports tool calling, structured output, a 1,024,000-token context window, and up to 131,072 output tokens. Choose max, high, or low reasoning effort, or none to disable reasoning.

Gemini 4 Carbon

google/gemini-4-carbon

Google's Gemini 4 Carbon is a reasoning model for complex coding, scientific and mathematical problem solving, and multi-step tasks that use tools. It accepts text, images, audio, video, and PDFs and produces text, with tool calling and structured outputs. Its 1,048,576-token context is shared across input, thinking, and output. Responses support up to 32,768 combined thinking and output tokens, with low, medium, and high thinking levels; medium is the default.