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Nvidia Nemotron Ultra

Shares rank 33 of 39 open-weight language models by recommenders

Free open-weight Nvidia model that people find fast and competitive with top models, though one critic found it often down on OpenRouter.

Free open-weight Nvidia model that people find fast and competitive with top models, though one critic found it often down on OpenRouter.

8 people gave an opinion

recommend it
8
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 3 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: not recommended
  8. June 2026: recommended
  9. July 2026: recommended
  10. August 2026: recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 8 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 3 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Competitive with top models

    “the Nemotron models from nVidia are quite real. Including a Nemotron Ultra variety meant to be large enough for near-SOTA.”

    Comment from 13 Jun 2026 in “Open Source AI Must Win”

    “Nemotron Ultra on OpenRouter is nearly as good, but it's down a LOT”

    Comment from 1 Jul 2026 in “You really shouldn't copy-paste errors into Claude Code”

    “Nemotron Ultra is extremely competitive.”

    Comment from 4 Jul 2026 in “Right to Local Intelligence”
  • Large open-weight model

    “the Nemotron models from nVidia are quite real. Including a Nemotron Ultra variety meant to be large enough for near-SOTA.”

    Comment from 13 Jun 2026 in “Open Source AI Must Win”

    “there's also the recently released 550b Ultra now”

    Comment from 21 Jun 2026 in “Apertus – Open Foundation Model for Sovereign AI”

Other open-weight language models people recommend

The four most recommended other open-weight language models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Nvidia Nemotron Ultra compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Qwen 3.8 27B1,17342673%132 mo32 ownersApproved
Z.ai GLM1,04338473%132 mo52 ownersApproved
Kimi93135972%131 mo26 ownersApproved
Gemma 471324974%131 mo14 ownersApproved
Nvidia Nemotron UltraThis page80100%3——
See all 39 open-weight language models, ranked

What people said

7 of the 8 comments that mention it, newest first. Each links to the original comment.

“I find them very useful for RAG-like problems”

RecommendsComment from 10 Aug 2026 in “Meta Muse Glimmer – open weights 30B local coding model”

“Nemotron Ultra is extremely competitive.”

RecommendsComment from 4 Jul 2026 in “Right to Local Intelligence”

“Nemotron Ultra on OpenRouter is nearly as good, but it's down a LOT”

MixedComment from 1 Jul 2026 in “You really shouldn't copy-paste errors into Claude Code”

“Ultra has been a VERY cost-effective alternative once we got through the nuances.”

RecommendsComment from 22 Jun 2026 in “Apertus – Open Foundation Model for Sovereign AI”

“there's also the recently released 550b Ultra now”

RecommendsComment from 21 Jun 2026 in “Apertus – Open Foundation Model for Sovereign AI”

“the Nemotron models from nVidia are quite real. Including a Nemotron Ultra variety meant to be large enough for near-SOTA.”

RecommendsComment from 13 Jun 2026 in “Open Source AI Must Win”

“it is well optimized for fast inference, so it is much faster than the other LLMs of the same size”

MixedComment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.