ERNIE 5.0 (0110)
Made by Baidu. Epoch AI does not state how it can be accessed. No Top tier or Strong results yet among the models listed here.
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 (63rd of 77 listed models)
- Writing: Middle (53rd 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
- MiddleHow often people preferred its answers to writing prompts. 1,426 on Arena's scale · Source for ERNIE 5.0 (0110) writing score (lmarena)
- Coding
- Behind the leadersHow often people preferred its answers to coding questions. 1,455 on Arena's scale · Source for ERNIE 5.0 (0110) 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
- Medicine and health: 39th of 75 on medicine and health questions, against 57th of 77 overall. Source for Medicine and health
Relatively weaker
- Expert-level prompts: 73rd of 77 on prompts that need expert knowledge, against 57th of 77 overall. Source for Expert-level prompts
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 73rd of 77 | 1,427 95% range 1,416 to 1,438 | 2,953 | Source for Expert-level prompts |
| Hard prompts Kind of request | 65th of 77 | 1,445 95% range 1,440 to 1,450 | 21,822 | Source for Hard prompts |
| Long prompts Kind of request | 70th of 77 | 1,422 95% range 1,416 to 1,428 | 11,920 | Source for Long prompts |
| Longer conversations Kind of request | 68th of 77 | 1,433 95% range 1,425 to 1,441 | 5,902 | Source for Longer conversations |
| Chinese Language | 48th of 76 | 1,493 95% range 1,481 to 1,505 | 2,541 | Source for Chinese |
| English prompts Language | 62nd of 77 | 1,448 95% range 1,443 to 1,454 | 15,126 | Source for English prompts |
| French Language | 51st of 72 | 1,459 95% range 1,441 to 1,478 | 1,093 | Source for French |
| German Language | 48th of 55 | 1,437 95% range 1,414 to 1,460 | 661 | Source for German |
| Japanese Language | 47th of 54 | 1,382 95% range 1,351 to 1,413 | 385 | Source for Japanese |
| Korean Language | 44th of 54 | 1,407 95% range 1,384 to 1,431 | 648 | Source for Korean |
| Non-English prompts Language | 50th of 77 | 1,435 95% range 1,431 to 1,440 | 21,349 | Source for Non-English prompts |
| Russian Language | 53rd of 77 | 1,445 95% range 1,437 to 1,454 | 4,631 | Source for Russian |
| Spanish Language | 49th of 70 | 1,447 95% range 1,431 to 1,463 | 1,390 | Source for Spanish |
| Entertainment, sport and media Topic | 60th of 77 | 1,411 95% range 1,404 to 1,418 | 6,914 | Source for Entertainment, sport and media |
| Law and government Topic | 64th of 76 | 1,435 95% range 1,424 to 1,447 | 2,675 | Source for Law and government |
| Medicine and health Topic | 39th of 75 | 1,460 95% range 1,448 to 1,471 | 2,492 | Source for Medicine and health |
| Science Topic | 62nd of 77 | 1,451 95% range 1,443 to 1,458 | 6,110 | Source for Science |
| Software and IT Topic | 57th of 77 | 1,462 95% range 1,457 to 1,468 | 13,549 | Source 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
- Coding and building things: not ranked, because there is not enough data for the main test.
- Homework and maths: not ranked, because there is not enough data for the main test.
- Research and checking facts: not ranked, because there is not enough data for the main test.
Where an alternative might be more suitable
- Writing and creating content: rated Middle on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Behind the leaders on coding votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Homework and maths: no result on hard maths problems, so we cannot say. See which models the evidence does support.
- Business emails and everyday work: rated Behind the leaders on business-task votes. Compare it with Gemini 4 Argon, the best-supported choice for this task.
- Research and checking facts: no result on short factual questions, so we cannot say. See which models the evidence does support.
What it is
- Maker
- Baidu
- 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
| Test | Result | Rating | Setting used | Source identifier | Observed | Links |
|---|---|---|---|---|---|---|
| Arena text: overall preference Arena 'text' leaderboard (Bradley-Terry rating, no style control) |
1,445 Arena score 95% range 1,441 to 1,448, 36,475 votes |
Middle | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,426 Arena score 95% range 1,418 to 1,434, 5,764 votes |
Middle | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,455 Arena score 95% range 1,448 to 1,461, 8,954 votes |
Behind the leaders | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,436 Arena score 95% range 1,424 to 1,448, 2,256 votes |
Behind the leaders | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,413 Arena score 95% range 1,407 to 1,419, 11,103 votes |
Behind the leaders | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,429 Arena score 95% range 1,421 to 1,436, 7,038 votes |
Behind the leaders | effort: 0110, bradley-terry rating | ERNIE 5.0 (0110) lmarena · text/latest |
28 Oct 2026 | Source for ERNIE 5.0 (0110) Arena text: business and management score (lmarena) |
| Arena WebDev: building web apps | Not enough data | |||||
| FrontierMath Tiers 1-3 (v2) | Not enough data | |||||
| OTIS Mock AIME 2024-2025 | Not enough data | |||||
| GPQA Diamond | Not enough data | |||||
| SimpleQA Verified | Not 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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