Dola Seed 2.0 Pro

Made by ByteDance. Epoch AI does not state how it can be accessed. 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

  • Writing: Behind the leaders (62nd of 77 listed models)
  • Coding: Middle (49th 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
Behind the leadersHow often people preferred its answers to writing prompts. 1,406 on Arena's scale · Source for Dola Seed 2.0 Pro writing score (lmarena)
Coding
MiddleHow often people preferred its answers to coding questions. 1,472 on Arena's scale · Source for Dola Seed 2.0 Pro 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

Relatively weaker

Show every category we can see
Position in each Arena category
CategoryPositionArena scoreVotesSource
Expert-level prompts
Kind of request
67th of 771,439
95% range 1,432 to 1,447
7,793Source for Expert-level prompts
Hard prompts
Kind of request
54th of 771,453
95% range 1,449 to 1,457
50,948Source for Hard prompts
Long prompts
Kind of request
67th of 771,427
95% range 1,423 to 1,432
32,659Source for Long prompts
Longer conversations
Kind of request
63rd of 771,441
95% range 1,435 to 1,447
13,822Source for Longer conversations
Chinese
Language
53rd of 761,489
95% range 1,481 to 1,498
5,262Source for Chinese
English prompts
Language
60th of 771,449
95% range 1,445 to 1,454
35,237Source for English prompts
French
Language
39th of 721,472
95% range 1,458 to 1,485
2,576Source for French
German
Language
43rd of 551,442
95% range 1,425 to 1,460
1,318Source for German
Japanese
Language
43rd of 541,407
95% range 1,385 to 1,429
862Source for Japanese
Korean
Language
39th of 541,411
95% range 1,394 to 1,429
1,326Source for Korean
Non-English prompts
Language
40th of 771,441
95% range 1,437 to 1,445
43,854Source for Non-English prompts
Russian
Language
48th of 771,449
95% range 1,442 to 1,456
9,154Source for Russian
Spanish
Language
34th of 701,461
95% range 1,449 to 1,474
2,560Source for Spanish
Entertainment, sport and media
Topic
61st of 771,409
95% range 1,404 to 1,415
17,039Source for Entertainment, sport and media
Law and government
Topic
54th of 761,449
95% range 1,441 to 1,457
6,167Source for Law and government
Medicine and health
Topic
31st of 751,470
95% range 1,461 to 1,479
5,822Source for Medicine and health
Science
Topic
60th of 771,452
95% range 1,446 to 1,458
12,744Source for Science
Software and IT
Topic
45th of 771,474
95% range 1,470 to 1,479
30,993Source 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
ByteDance
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

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 Dola Seed 2.0 Pro. 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)
1,448
Arena score
95% range 1,445 to 1,451, 79,094 votes
Middle effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro Arena text: overall preference score (lmarena)
Arena text: creative writing
Arena 'text' leaderboard, category creative_writing
1,406
Arena score
95% range 1,400 to 1,412, 13,186 votes
Behind the leaders effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro Arena text: creative writing score (lmarena)
Arena text: coding
Arena 'text' leaderboard, category coding
1,472
Arena score
95% range 1,467 to 1,477, 22,059 votes
Middle effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro Arena text: coding score (lmarena)
Arena text: maths
Arena 'text' leaderboard, category math
1,439
Arena score
95% range 1,429 to 1,448, 4,343 votes
Behind the leaders effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro Arena text: maths score (lmarena)
Arena text: following instructions
Arena 'text' leaderboard, category instruction_following
1,414
Arena score
95% range 1,409 to 1,419, 26,275 votes
Behind the leaders effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro Arena text: following instructions score (lmarena)
Arena text: business and management
Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations
1,439
Arena score
95% range 1,433 to 1,445, 15,500 votes
Middle effort: not stated, bradley-terry rating Dola Seed 2.0 Pro
lmarena · text/latest
28 Oct 2026 Source for Dola Seed 2.0 Pro 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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