Inkling-Small

Made by Thinking Machines, released 15 Jul 2026. Epoch AI lists its access as “Open weights (unrestricted)”. No Top tier or Strong results yet among the models listed here.

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In short

What it does well

No Top tier or Strong ratings on the four main tests yet.

Where it falls short

  • Coding: Behind the leaders (70th of 77 listed models)
  • Knowledge: Behind the leaders (43rd of 43 listed models)
  • Maths: Behind the leaders (36th of 43 listed models)
  • Writing: Behind the leaders (77th of 77 listed models)

What we don't know yet

  • Fixing real software bugs: Not enough data
  • Difficult coding tasks: Not enough data

The four ratings

  • Top tier
  • Strong
  • Middle
  • Behind the leaders
  • Not enough data

Ratings compare only the 77 models listed here, in quarters, best first. “Not enough data” means no result yet. It is never a low score.

Writing
Behind the leadersHow often people preferred its answers to writing prompts. 1,336 on Arena's scale · Source for Inkling-Small writing score (lmarena)
Coding
Behind the leadersHow often people preferred its answers to coding questions. 1,451 on Arena's scale · Source for Inkling-Small coding score (lmarena)
Maths
Behind the leadersHow many very hard maths problems it solved. 46.3% · Source for Inkling-Small maths score (epoch)
Knowledge
Behind the leadersHow many short factual questions it answered correctly. 19.1% · Source for Inkling-Small knowledge score (epoch)

Evidence completeness: Broad evidence, 11 of 13 tests have a result.

Where it is relatively stronger or weaker

This compares each kind of request with the model's own overall position among the 77 listed models, using Arena's votes. It is about performance on different languages, kinds of request and topics, not about political or social bias.

Relatively stronger

No category stands out as clearly stronger than its overall position.

Relatively weaker

No category stands out as clearly weaker than its overall position.

Show every category we can see
Position in each Arena category
CategoryPositionArena scoreVotesSource
Expert-level prompts
Kind of request
66th of 771,441
95% range 1,431 to 1,450
4,292Source for Expert-level prompts
Hard prompts
Kind of request
71st of 771,424
95% range 1,419 to 1,429
24,140Source for Hard prompts
Long prompts
Kind of request
74th of 771,404
95% range 1,398 to 1,410
17,285Source for Long prompts
Longer conversations
Kind of request
70th of 771,416
95% range 1,407 to 1,425
5,706Source for Longer conversations
Chinese
Language
68th of 761,464
95% range 1,453 to 1,476
2,975Source for Chinese
English prompts
Language
70th of 771,420
95% range 1,414 to 1,426
14,988Source for English prompts
French
Language
64th of 721,435
95% range 1,417 to 1,453
1,235Source for French
German
Language
52nd of 551,404
95% range 1,379 to 1,428
626Source for German
Japanese
Language
45th of 541,394
95% range 1,368 to 1,419
626Source for Japanese
Korean
Language
51st of 541,374
95% range 1,350 to 1,398
658Source for Korean
Non-English prompts
Language
71st of 771,403
95% range 1,397 to 1,408
22,004Source for Non-English prompts
Russian
Language
73rd of 771,396
95% range 1,387 to 1,406
4,500Source for Russian
Spanish
Language
62nd of 701,427
95% range 1,409 to 1,445
1,134Source for Spanish
Entertainment, sport and media
Topic
75th of 771,353
95% range 1,345 to 1,360
9,634Source for Entertainment, sport and media
Law and government
Topic
71st of 761,414
95% range 1,403 to 1,425
3,157Source for Law and government
Medicine and health
Topic
67th of 751,414
95% range 1,402 to 1,427
2,650Source for Medicine and health
Science
Topic
71st of 771,427
95% range 1,419 to 1,436
6,110Source for Science
Software and IT
Topic
71st of 771,448
95% range 1,442 to 1,454
14,266Source for Software and IT

Bias: what we can and can't see

Our sources do not measure political lean, stereotyping, flattery (agreeing with you too readily) or safety behaviour, so we cannot say how any model does on those. What we can show is above: where a model is relatively stronger or weaker across languages, kinds of request and topics. Also, people voting in Arena can favour answer style, such as length and formatting, and our numbers do not adjust for that. See what AI bias means and what these tests can tell you.

Best-supported use cases

This model is not among the options we recommend for any of the five tasks. That reflects the rules and the models listed, not a verdict on the model.

Where an alternative might be more suitable

What it is

Maker
Thinking Machines
Release date (Epoch AI)
15 Jul 2026
Access, as listed by Epoch AI
Open weights (unrestricted)
Licence, as listed by Arena
Apache 2.0
Maker's country (Epoch AI)
United States of America
Last observation in our data
28 Oct 2026
Data last changed
29 Oct 2026, 14:36 UTC

We have not verified an official product page for this model, so we do not link to one.

How you can use it

Open weights. Arena lists its licence as Apache 2.0. In plain terms, the model's files are published under a licence that lets others run it, so it can be offered by more than one company, sometimes at lower cost. That does not guarantee that any particular app is free. Open licences differ, and some restrict commercial use, so check the licence terms before building a business on it.

How you can reach it (an app, a website, a developer API or a third-party tool) and what that costs are not covered by our benchmark data. Where we could verify prices from the maker's own pages, they are shown under Price. Epoch AI lists access as “Open weights (unrestricted)”. See models, apps and harnesses and how AI pricing works.

Price

Price not independently verified

We have not been able to check this maker's own pricing page, so we show nothing for it.

We never infer subscription prices from API prices. New to “tokens” and “per million”? See how AI pricing works.

Good to remember

  • Benchmarks are samples of tasks. None proves performance in every situation.
  • Arena scores come from people choosing between answers. That measures preference, not correctness.
  • Ratings are relative to the 77 models listed here. A different set would change them.
  • Sources test models at different settings. Each result shows the setting used, and we do not adjust it.

The evidence, for the curious

Show all 13 tests with settings and sources
All published results for Inkling-Small. Ratings compare only the 77 models on this site.
TestResultRatingSetting usedSource identifierObservedLinks
Arena text: overall preference
Arena 'text' leaderboard (Bradley-Terry rating, no style control)
1,414
Arena score
95% range 1,410 to 1,419, 36,999 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,336
Arena score
95% range 1,328 to 1,344, 7,972 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,451
Arena score
95% range 1,444 to 1,458, 10,049 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,458
Arena score
95% range 1,444 to 1,473, 1,727 votes
Middle effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,401
Arena score
95% range 1,395 to 1,407, 13,454 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,414
Arena score
95% range 1,406 to 1,422, 6,813 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · text/latest
28 Oct 2026 Source for Inkling-Small Arena text: business and management score (lmarena)
Arena WebDev: building web apps
Arena 'webdev' leaderboard (Code Arena), category overall
1,409
Arena score
95% range 1,400 to 1,418, 5,295 votes
Behind the leaders effort: not stated, bradley-terry rating Inkling-Small
lmarena · webdev/latest
28 Oct 2026 Source for Inkling-Small Arena WebDev: building web apps score (lmarena)
FrontierMath Tiers 1-3 (v2)
FrontierMath Tiers 1-3 v2 (private set), benchmark released 2026-06-12
46.3%
share of problems solved
standard error ±3.0 points
Behind the leaders effort: xhigh, best score across scorers inkling-small_xhigh
epoch · frontiermath_tiers_1_3_v2.csv
14 Aug 2026 Source for Inkling-Small FrontierMath Tiers 1-3 (v2) score (epoch) · Run details for FrontierMath Tiers 1-3 (v2)
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025, benchmark released 2024-12-19
90.0%
share of problems solved
standard error ±4.0 points
Middle effort: xhigh, best score across scorers inkling-small_xhigh
epoch · otis_mock_aime_2024_2025.csv
14 Aug 2026 Source for Inkling-Small OTIS Mock AIME 2024-2025 score (epoch)
No public run log in the data file.
GPQA Diamond
GPQA Diamond, benchmark released 2023-11-20
88.5%
share of questions correct
standard error ±1.9 points
Middle effort: xhigh, best score across scorers inkling-small_xhigh
epoch · gpqa_diamond.csv
14 Aug 2026 Source for Inkling-Small GPQA Diamond score (epoch)
No public run log in the data file.
SimpleQA Verified
SimpleQA Verified, benchmark released 2025-09-09
19.1%
share of questions correct
standard error ±1.2 points
Behind the leaders effort: xhigh, best score across scorers inkling-small_xhigh
epoch · simpleqa_verified.csv
27 Aug 2026 Source for Inkling-Small SimpleQA Verified score (epoch) · Run details for SimpleQA Verified
SWE-bench Verified (Epoch runs)Not enough data
FrontierCode (reported by Cognition)Not enough data

Missing evidence

Not enough data for these tests:

  • SWE-bench Verified (Epoch runs)
  • FrontierCode (reported by Cognition)

Missing results are not low scores and do not count against the model.

Where a source gives no public run log, we cannot show the run behind the score. See data sources.

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