Kimi K2.5

Made by Moonshot, released 27 Jan 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

  • Knowledge: Behind the leaders (35th of 43 listed models)
  • Coding: Middle (47th of 77 listed models)
  • Writing: Middle (55th of 77 listed models)

What we don't know yet

  • Hard maths problems: Not enough data
  • School-competition maths: Not enough data
  • Graduate-level science questions: 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
MiddleHow often people preferred its answers to writing prompts. 1,422 on Arena's scale · Source for Kimi K2.5 writing score (lmarena)
Coding
MiddleHow often people preferred its answers to coding questions. 1,474 on Arena's scale · Source for Kimi K2.5 coding score (lmarena)
Maths
Not enough dataNo result yet for hard maths problems.
Knowledge
Behind the leadersHow many short factual questions it answered correctly. 34.3% · Source for Kimi K2.5 knowledge score (epoch)

Evidence completeness: Partial evidence, 9 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
50th of 771,466
95% range 1,458 to 1,474
7,024Source for Expert-level prompts
Hard prompts
Kind of request
53rd of 771,453
95% range 1,449 to 1,457
47,876Source for Hard prompts
Long prompts
Kind of request
56th of 771,444
95% range 1,440 to 1,449
29,795Source for Long prompts
Longer conversations
Kind of request
59th of 771,444
95% range 1,438 to 1,450
13,138Source for Longer conversations
Chinese
Language
47th of 761,494
95% range 1,485 to 1,503
4,587Source for Chinese
English prompts
Language
50th of 771,453
95% range 1,449 to 1,458
31,747Source for English prompts
French
Language
57th of 721,453
95% range 1,440 to 1,466
2,624Source for French
German
Language
44th of 551,441
95% range 1,424 to 1,459
1,291Source for German
Japanese
Language
33rd of 541,422
95% range 1,400 to 1,443
851Source for Japanese
Korean
Language
38th of 541,412
95% range 1,395 to 1,429
1,361Source for Korean
Non-English prompts
Language
53rd of 771,432
95% range 1,428 to 1,436
42,932Source for Non-English prompts
Russian
Language
60th of 771,435
95% range 1,428 to 1,442
8,814Source for Russian
Spanish
Language
44th of 701,450
95% range 1,437 to 1,462
2,533Source for Spanish
Entertainment, sport and media
Topic
55th of 771,417
95% range 1,411 to 1,422
15,488Source for Entertainment, sport and media
Law and government
Topic
61st of 761,441
95% range 1,432 to 1,449
5,644Source for Law and government
Medicine and health
Topic
53rd of 751,448
95% range 1,439 to 1,457
5,162Source for Medicine and health
Science
Topic
50th of 771,459
95% range 1,453 to 1,465
11,809Source for Science
Software and IT
Topic
49th of 771,469
95% range 1,464 to 1,473
29,757Source 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

Where an alternative might be more suitable

What it is

Maker
Moonshot
Release date (Epoch AI)
27 Jan 2026
Access, as listed by Epoch AI
Open weights (unrestricted)
Licence, as listed by Arena
Modified MIT
Maker's country (Epoch AI)
China
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 Modified MIT. 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 Kimi K2.5. 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)
1,445
Arena score
95% range 1,442 to 1,448, 74,682 votes
Middle effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,422
Arena score
95% range 1,416 to 1,428, 12,231 votes
Middle effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,474
Arena score
95% range 1,469 to 1,479, 20,752 votes
Middle effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,470
Arena score
95% range 1,461 to 1,479, 4,171 votes
Strong effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,431
Arena score
95% range 1,426 to 1,436, 24,181 votes
Middle effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,427
Arena score
95% range 1,421 to 1,432, 14,392 votes
Behind the leaders effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · text/latest
28 Oct 2026 Source for Kimi K2.5 Arena text: business and management score (lmarena)
Arena WebDev: building web apps
Arena 'webdev' leaderboard (Code Arena), category overall
1,436
Arena score
95% range 1,431 to 1,441, 20,008 votes
Behind the leaders effort: Thinking, bradley-terry rating Kimi K2.5 (Thinking)
lmarena · webdev/latest
28 Oct 2026 Source for Kimi K2.5 Arena WebDev: building web apps score (lmarena)
FrontierMath Tiers 1-3 (v2)Not enough data
OTIS Mock AIME 2024-2025Not enough data
GPQA DiamondNot enough data
SimpleQA Verified
SimpleQA Verified, benchmark released 2025-09-09
34.3%
share of questions correct
standard error ±1.5 points
Behind the leaders effort: not stated, best score across scorers kimi-k2.5
epoch · simpleqa_verified.csv
27 Aug 2026 Source for Kimi K2.5 SimpleQA Verified score (epoch) · Run details for SimpleQA Verified
SWE-bench Verified (Epoch runs)
SWE-bench Verified, benchmark released 2024-08-13, as run by Epoch AI
73.8%
share of issues resolved
standard error ±2.0 points
Middle effort: not stated, best score across scorers kimi-k2.5
epoch · swe_bench_verified.csv
17 Feb 2026 Source for Kimi K2.5 SWE-bench Verified (Epoch runs) score (epoch) · Run details for SWE-bench Verified (Epoch runs)
FrontierCode (reported by Cognition)Not enough data

Missing evidence

Not enough data for these tests:

  • FrontierMath Tiers 1-3 (v2)
  • OTIS Mock AIME 2024-2025
  • GPQA Diamond
  • 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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