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Nemotron 3 Ultra 550B (reasoning)

NVIDIA · open weights · writing benchmark

#81 of 130 Elo 1390 Overall 76.7 Open weights
Rank
#81 of 130
Writing Elo
1390 ±89
Overall
76.7 / 100
Cost / task
$0.011 (estimated) per script
Family
NVIDIA 2nd of 4
Type
Open 21st of 47
Consistency
± 5.9 swingier than most
Avg tokens
13.8k in+out
Latency
24s per call
Family check:Nemotron 3 Ultra 550B is NVIDIA's best writer here, +0.1 overall vs this config for $0.000 less per script.

The short version

Nemotron 3 Ultra 550B (reasoning) sits at #81 of 130 on ToneBench, toward the value end of the board, with a writing Elo of 1390 and an overall score of 76.7 out of 100. We measured it by having it write all 9 of our real YouTube scripts, five times each, then scoring every draft blind against our own finished versions. Here is how it shook out.

Within NVIDIA it ranks 2nd of 4. Nemotron 3 Ultra 550B is the family's top writer here, about 4 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among open-weights models, it comes in 21st of 47. Open weights still trail the closed frontier on pure voice fidelity, and you can see that in the gap at the top.

What it does best is Hook: it ranks 48th on that dimension at 85.7, above the board average. Its softer spot is Anti-Slop (74.6, 100th), which is the thing to watch if that metric matters most for your use.

It was uneven across the 9 scripts. Its best run was the news-analysis / opinion explainer (80.4) and its weakest was the personal technical walkthrough / agentic workflow case study (66.4), a spread of about 14 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.011/task (estimated). DeepSeek V4 Flash (native chat alias) scores higher for less money, at $0.002/task, so on pure value this config is not the frontier. Still, it beats 15 models that cost noticeably more.

Skill profile

The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Visual Cues (+6.1); furthest behind: Anti-Slop (-8.2).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Nemotron 3 Ultra 550B (reasoning)Board averageBoard best per metricMax possible (100)

Per-metric scores

Nine writing dimensions, each scored 0–100 and blended by the editorial weight shown. Rank is against all 130 current-ranked models. The thick bar is this model; the thin lines above and below are the current field's best model (darker) and average (lighter) on the same scale. The small ± number is its run-to-run variation.

Tone & Voice ?19% weight · +0.3 vs avg
best · Claude Opus 5 (max effort) · 91.278.6± 3.4 · 80thboard avg · 78.3
Writing Craft ?13% weight · -3.0 vs avg
best · Claude Opus 5 (max effort) · 91.175.9± 5.7 · 99thboard avg · 78.9
Substance & Value ?15% weight · -0.8 vs avg
best · Claude Opus 5 (max effort) · 90.677.9± 4.9 · 87thboard avg · 78.7
Flow & Emotion ?14% weight · -0.7 vs avg
best · Claude Opus 5 (max effort) · 90.473.8± 5.5 · 86thboard avg · 74.4
YouTube Structure ?12% weight · +1.6 vs avg
best · Claude Opus 5 (max effort) · 89.674.9± 5.1 · 75thboard avg · 73.3
Hook ?10% weight · +5.4 vs avg
best · Claude Opus 5 (max effort) · 92.085.7± 3.4 · 48thboard avg · 80.2
Length Discipline ?8% weight · +0.3 vs avg
best · GPT-5.6 Sol (ultra) · 94.367.5± 10.4 · 74thboard avg · 67.2
Anti-Slop ?5% weight · -8.2 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.774.6± 4.1 · 100thboard avg · 82.8
Visual Cues ?4% weight · +6.1 vs avg
best · GPT-5.6 Sol (xhigh) · 91.480.6± 7.7 · 69thboard avg · 74.5

Per-article scores

The same 9 real scripts every current-ranked model writes, scored individually. Different formats stress different skills.

Article 1
opinion / warning explainer
77.6
out of 100
Article 2
news-analysis / skeptical explainer
79.5
out of 100
Article 3
personal roadmap / opinion
76.2
out of 100
Article 4
short explainer
79.5
out of 100
Article 5
news-analysis / opinion explainer
80.4
out of 100
Article 6
founder announcement / personal origin story
77.2
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
66.4
out of 100
Article 8
product release announcement / personal observation
78.1
out of 100
Article 9
career guide / hiring analysis
75.5
out of 100

Consistency: run-to-run variability

Every cell on this page is the mean of 5 independent runs per script; the ± numbers are the run-to-run standard deviation. Overall, Nemotron 3 Ultra 550B (reasoning) varies by ± 5.9 points between runs versus a board median of ± 3.8, so it is swingier than the typical model here, worth knowing if you need repeatable output.

Its most volatile dimension is Tone & Voice (± 3.4 vs a board median of ± 2.2): two runs of the same brief can land visibly different tone & voice scores.

MetricThis modelBoard medianVerdict
Tone & Voice ?78.6 ± 3.4± 2.2swingier than most
Writing Craft ?75.9 ± 5.7± 2.0swingier than most
Substance & Value ?77.9 ± 4.9± 2.6swingier than most
Flow & Emotion ?73.8 ± 5.5± 2.6swingier than most
YouTube Structure ?74.9 ± 5.1± 3.6typical
Hook ?85.7 ± 3.4± 3.0typical
Length Discipline ?67.5 ± 10.4± 8.6typical
Anti-Slop ?74.6 ± 4.1± 2.6swingier than most
Visual Cues ?80.6 ± 7.7± 4.7swingier than most

Measured, not modeled

Numbers we log on every run and rarely talk about. None of these affect the writing scores; cost and latency are informational.

Latency per script
24sfaster than the board median of 70s
Prompt tokens in
11.1kstyle guide + brief + research packet
Tokens out
2.7kscript + any reasoning tokens
Cost per script
$0.011 ± 0.002measured from actual billed tokens
List price used
$0.5 / $2.2 per M tokinput / output (estimated)

What each judge scored it

The published overall of 76.7 is the consensus of three family-disjoint judges scoring the same 45 stored drafts blind with the identical rubric. The highest and lowest judge differ by 13.9 points on its overall. That gap is wider than typical (board median 9.0): DeepSeek V4 Flash rates it noticeably higher than Claude Opus 5. Read the per-metric numbers knowing the consensus sits between two real opinions. How the panel works: methodology.

Claude Opus 5
Anthropic
68.8
GPT-5.6 Sol (medium)
OpenAI
78.7
DeepSeek V4 Flash
DeepSeek
82.7

How we ran Nemotron 3 Ultra 550B (reasoning)

Frequently asked questions

How good is Nemotron 3 Ultra 550B (reasoning) at writing?

On ToneBench it ranks #81 of 130 with a writing Elo of 1390 and an overall score of 76.7/100. That score comes from writing our 9 real YouTube scripts five times each and scoring every draft blind against our own finished versions across nine writing dimensions.

Is Nemotron 3 Ultra 550B (reasoning) the best NVIDIA model for writing?

Not quite. Within NVIDIA it ranks 2nd of 4; Nemotron 3 Ultra 550B is the family's best writer here.

Is Nemotron 3 Ultra 550B (reasoning) good value for the money?

It costs about $0.011/task (estimated). DeepSeek V4 Flash (native chat alias) scores higher for less, so it is not the value pick.

What are Nemotron 3 Ultra 550B (reasoning)'s strengths and weaknesses?

Its strongest dimension is Hook (48th on the board, 85.7). Its weakest is Anti-Slop (100th on the board, 74.6). The full nine-metric breakdown is on this page.

Does Nemotron 3 Ultra 550B (reasoning) write some formats better than others?

Yes. Its best of our 9 scripts was the news-analysis / opinion explainer (80.4) and its weakest was the personal technical walkthrough / agentic workflow case study (66.4).

How consistent is Nemotron 3 Ultra 550B (reasoning) between runs?

We run every script 5 times. Nemotron 3 Ultra 550B (reasoning)'s overall score varies by about ±5.9 points between runs, versus a board median of ±3.8. That is swingier than typical, so expect more draft-to-draft variation. The full per-metric variability table is on this page.

How was Nemotron 3 Ultra 550B (reasoning) evaluated?

Via OpenRouter using the exact model/route id nvidia/nemotron-3-ultra-550b-a55b at reasoning_effort high, run on 2026-07-29. 5 runs per script, provider-default sampling, no fine-tuning; every draft scored blind with a fixed rubric by a three-family judge panel. Full details in the 'How we ran it' section and the methodology.

Is Nemotron 3 Ultra 550B (reasoning) open source?

Yes, it is an open-weights model. Among open-weights models it ranks 21st of 47 for writing.

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