Grok 4.20 Beta 1

Made by xAI. Epoch AI does not state how it can be accessed. Appears solid at writing among the models listed here.

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In short

What it does well

  • Writing: Strong (39th of 77 listed models)

Where it falls short

  • Coding: Behind the leaders (72nd of 77 listed models)

What we don't know yet

  • Web-building votes: Not enough data
  • Hard maths problems: Not enough data
  • School-competition maths: Not enough data
  • Graduate-level science questions: Not enough data
  • Short factual questions: Not enough data
  • 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
StrongHow often people preferred its answers to writing prompts. 1,438 on Arena's scale · Source for Grok 4.20 Beta 1 writing score (lmarena)
Coding
Behind the leadersHow often people preferred its answers to coding questions. 1,447 on Arena's scale · Source for Grok 4.20 Beta 1 coding score (lmarena)
Maths
Not enough dataNo result yet for hard maths problems.
Knowledge
Not enough dataNo result yet for short factual questions.

Evidence completeness: Thin evidence, 6 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

  • German: 27th of 55 on questions asked in German, against 58th of 77 overall. Source for German

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
72nd of 771,427
95% range 1,415 to 1,439
2,472Source for Expert-level prompts
Hard prompts
Kind of request
69th of 771,441
95% range 1,435 to 1,446
17,448Source for Hard prompts
Long prompts
Kind of request
68th of 771,427
95% range 1,420 to 1,433
10,449Source for Long prompts
Longer conversations
Kind of request
52nd of 771,451
95% range 1,442 to 1,460
4,596Source for Longer conversations
Chinese
Language
62nd of 761,476
95% range 1,461 to 1,490
1,744Source for Chinese
English prompts
Language
58th of 771,451
95% range 1,445 to 1,457
12,790Source for English prompts
French
Language
55th of 721,455
95% range 1,434 to 1,477
859Source for French
German
Language
27th of 551,464
95% range 1,436 to 1,491
443Source for German
Korean
Language
33rd of 541,416
95% range 1,388 to 1,444
469Source for Korean
Non-English prompts
Language
52nd of 771,433
95% range 1,427 to 1,438
15,099Source for Non-English prompts
Russian
Language
46th of 771,449
95% range 1,439 to 1,460
3,302Source for Russian
Spanish
Language
57th of 701,438
95% range 1,419 to 1,458
952Source for Spanish
Entertainment, sport and media
Topic
54th of 771,417
95% range 1,409 to 1,426
5,377Source for Entertainment, sport and media
Law and government
Topic
65th of 761,433
95% range 1,420 to 1,446
2,107Source for Law and government
Medicine and health
Topic
50th of 751,452
95% range 1,438 to 1,465
2,015Source for Medicine and health
Science
Topic
66th of 771,441
95% range 1,432 to 1,450
4,610Source for Science
Software and IT
Topic
68th of 771,452
95% range 1,446 to 1,459
10,827Source 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
xAI
Access, as listed by Epoch AI
Not stated
Licence, as listed by Arena
Proprietary
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

Proprietary. The model's files are not published, so it is generally available only through its maker or partners the maker chooses.

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. See models, apps and harnesses and how AI pricing works.

Price

Price not independently verified

See Grok (checked 29 Oct 2026). Page opened and read. It says Grok is 'free to try on the web and in the apps' and that SuperGrok adds higher limits. It states no prices or model names. The separate plans page opens as a sign-up pop-up showing introductory offers and no model names, so we record nothing else.

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 Grok 4.20 Beta 1. 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)
1,444
Arena score
95% range 1,440 to 1,449, 27,889 votes
Middle effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,438
Arena score
95% range 1,428 to 1,448, 4,171 votes
Strong effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,447
Arena score
95% range 1,439 to 1,454, 7,483 votes
Behind the leaders effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,432
Arena score
95% range 1,418 to 1,447, 1,683 votes
Behind the leaders effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,415
Arena score
95% range 1,408 to 1,422, 8,839 votes
Behind the leaders effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,425
Arena score
95% range 1,416 to 1,433, 5,357 votes
Behind the leaders effort: not stated, bradley-terry rating Grok 4.20 Beta 1
lmarena · text/latest
28 Oct 2026 Source for Grok 4.20 Beta 1 Arena text: business and management score (lmarena)
Arena WebDev: building web appsNot enough data
FrontierMath Tiers 1-3 (v2)Not enough data
OTIS Mock AIME 2024-2025Not enough data
GPQA DiamondNot enough data
SimpleQA VerifiedNot enough data
SWE-bench Verified (Epoch runs)Not enough data
FrontierCode (reported by Cognition)Not enough data

Missing evidence

Not enough data for these tests:

  • Arena WebDev: building web apps
  • FrontierMath Tiers 1-3 (v2)
  • OTIS Mock AIME 2024-2025
  • GPQA Diamond
  • SimpleQA Verified
  • 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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