Fronset Benchmark

NVIDIA Nemotron-3 Ultra 550B at a glance

Good enough on 14/54 tasks at the Balanced step. Best value on 1 task. Best fit for: Infrastructure & Utility. Doesn't qualify on any: Content Summarization & Synthesis.

Provider
OpenRouter
Model name
nvidia/nemotron-3-ultra-550b-a55b
What the steps mean
Cost mode:
Qualifies on
14 / 54 tasks (at the Balanced step)
Best value on
1 tasks

Cost vs quality across all tasks

0%25%50%75%100%678910Quality score (6–10)Cost-efficiency vs best value (1.0 = best value)Factual Claim Refinement — quality 7.83, 8.9x the cost of the best-value good-enough optionAtomic Fact Claim Extraction — quality 6.97, 10.8x the cost of the best-value good-enough optionMulti Perspective Decision Synthesis — quality 7.99, 6.4x the cost of the best-value good-enough optionMetadata Paragraph Rewriting — quality 8.35, 26.3x the cost of the best-value good-enough optionTopic Sequence Optimization — quality 8.09, 18.2x the cost of the best-value good-enough optionBench Hypothesis Post Generation — quality 8.23, 12.0x the cost of the best-value good-enough optionEngagement Opportunity Triage — quality 8.73, 59.8x the cost of the best-value good-enough optionSocial Post Portfolio Selection — quality 8.29, 8.3x the cost of the best-value good-enough optionContent To Image Prompt Generation — quality 8.34, 14.1x the cost of the best-value good-enough optionModel Specific Prompt Adaptation — quality 8.02, 4.1x the cost of the best-value good-enough optionVisual Theme Configuration Generation — quality 8.82, 7.7x the cost of the best-value good-enough optionThematic Topic Discovery — quality 8.22, this model IS the best-value good-enough option★Newsletter Copy Generation — quality 8.80, 3.7x the cost of the best-value good-enough optionLanguage Identification — quality 9.85, 26.5x the cost of the best-value good-enough option

within ~1.3× of the best-value model · 1.3–2× · >2× · ★ this model is the best-value pick on that task. Top-right = best quadrant. Only tasks where this model qualifies at the Balanced step are plotted.

Per-task breakdown

TaskCategoryQuality (% of best)ConfidenceOverpay
Thematic Topic Discovery ★ bestTopic Organization & Clustering100%MEDIUMbest value
Newsletter Copy Generation bestLong-form Content Generation100%RANKED3.7x
Model Specific Prompt AdaptationInfrastructure & Utility90%MEDIUM4.1x
Multi Perspective Decision SynthesisFinancial Analysis & Trading Decisions91%HIGH6.4x
Visual Theme Configuration Generation bestLong-form Content Generation100%HIGH7.7x
Social Post Portfolio SelectionRelevance, Classification & Matching95%MEDIUM8.3x
Factual Claim RefinementInfrastructure & Utility91%MEDIUM8.9x
Atomic Fact Claim ExtractionStructured Data & Fact Extraction90%HIGH11x
Bench Hypothesis Post GenerationSocial & Promotional Content93%HIGH12x
Content To Image Prompt GenerationInfrastructure & Utility93%HIGH14x
Topic Sequence OptimizationTopic Organization & Clustering91%MEDIUM18x
Metadata Paragraph Rewriting bestInfrastructure & Utility100%HIGH26x
Language IdentificationRelevance, Classification & Matching98%RANKED26x
Engagement Opportunity TriageRelevance, Classification & Matching98%RANKED60x

Overpay — how much more you pay by running this model instead of the best-value model that meets the quality step on that task (marked ★). "16x" means you overpay 16× — the same output for 16× the best-value good-enough option; ★ means this model is that option (no overpayment). Confidence — how sure we are about the quality score (more judgments + more agreement = higher confidence): RANKED many independent judges scored this model's outputs and their agreement is very high (most confident) — HIGH many judges have scored it and they mostly agree (well-pinned) — MEDIUM enough judges have weighed in to publish, but they disagree more than we'd like (treat with a small grain of salt). LOW-confidence cells are hidden everywhere on the site. See the methodology for the exact thresholds.