NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4)
Made by NVIDIA. 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
- Writing: Behind the leaders (67th of 77 listed models)
- Coding: 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
- Behind the leadersHow often people preferred its answers to writing prompts. 1,398 on Arena's scale · Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) writing score (lmarena)
- Coding
- MiddleHow often people preferred its answers to coding questions. 1,468 on Arena's scale · Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) 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
No category stands out as clearly stronger than its overall position.
Relatively weaker
- Longer conversations: 72nd of 77 on back-and-forth conversations, against 54th of 77 overall. Source for Longer conversations
Show every category we can see
| Category | Position | Arena score | Votes | Source |
|---|---|---|---|---|
| Expert-level prompts Kind of request | 46th of 77 | 1,472 95% range 1,455 to 1,489 | 1,251 | Source for Expert-level prompts |
| Hard prompts Kind of request | 55th of 77 | 1,452 95% range 1,445 to 1,460 | 7,600 | Source for Hard prompts |
| Long prompts Kind of request | 60th of 77 | 1,437 95% range 1,429 to 1,446 | 5,334 | Source for Long prompts |
| Longer conversations Kind of request | 72nd of 77 | 1,411 95% range 1,396 to 1,426 | 1,786 | Source for Longer conversations |
| Chinese Language | 43rd of 76 | 1,497 95% range 1,475 to 1,519 | 723 | Source for Chinese |
| English prompts Language | 49th of 77 | 1,455 95% range 1,446 to 1,463 | 5,377 | Source for English prompts |
| French Language | 38th of 72 | 1,473 95% range 1,444 to 1,501 | 463 | Source for French |
| Non-English prompts Language | 64th of 77 | 1,427 95% range 1,419 to 1,436 | 6,185 | Source for Non-English prompts |
| Russian Language | 68th of 77 | 1,418 95% range 1,400 to 1,435 | 1,201 | Source for Russian |
| Spanish Language | 39th of 70 | 1,454 95% range 1,426 to 1,483 | 455 | Source for Spanish |
| Entertainment, sport and media Topic | 68th of 77 | 1,397 95% range 1,385 to 1,409 | 2,654 | Source for Entertainment, sport and media |
| Law and government Topic | 52nd of 76 | 1,452 95% range 1,433 to 1,472 | 969 | Source for Law and government |
| Medicine and health Topic | 45th of 75 | 1,455 95% range 1,436 to 1,475 | 860 | Source for Medicine and health |
| Science Topic | 42nd of 77 | 1,464 95% range 1,451 to 1,478 | 1,893 | Source for Science |
| Software and IT Topic | 51st of 77 | 1,468 95% range 1,459 to 1,478 | 4,431 | 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 Behind the leaders on writing votes. Compare it with Claude Opus 5.5, the best-supported choice for this task.
- Coding and building things: rated Middle 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 Middle 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
- NVIDIA
- Access, as listed by Epoch AI
- Not stated
- Licence, as listed by Arena
- OpenMDW-1.1
- 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 OpenMDW-1.1. 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. 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 1,438 to 1,452, 11,563 votes |
Middle | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) Arena text: overall preference score (lmarena) |
| Arena text: creative writing Arena 'text' leaderboard, category creative_writing |
1,398 Arena score 95% range 1,385 to 1,412, 2,186 votes |
Behind the leaders | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) Arena text: creative writing score (lmarena) |
| Arena text: coding Arena 'text' leaderboard, category coding |
1,468 Arena score 95% range 1,457 to 1,479, 3,197 votes |
Middle | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) Arena text: coding score (lmarena) |
| Arena text: maths Arena 'text' leaderboard, category math |
1,458 Arena score 95% range 1,433 to 1,482, 580 votes |
Middle | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) Arena text: maths score (lmarena) |
| Arena text: following instructions Arena 'text' leaderboard, category instruction_following |
1,418 Arena score 95% range 1,408 to 1,428, 3,903 votes |
Behind the leaders | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) Arena text: following instructions score (lmarena) |
| Arena text: business and management Arena 'text' leaderboard, category industry_business_and_management_and_financial_operations |
1,435 Arena score 95% range 1,422 to 1,448, 2,278 votes |
Middle | effort: NVFP4, bradley-terry rating | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) lmarena · text/latest |
28 Oct 2026 | Source for NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4) 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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