Hacker ApprovedDepartments

Nanbeige4.1-3B

Shares rank 56 of 72 language models by recommenders

Small open model people run locally, valued for strong benchmarks and fit for test-time compute; critics say it is weak at coding and terminal tasks and uses many thinking tokens.

Small open model people run locally, valued for strong benchmarks and fit for test-time compute; critics say it is weak at coding and terminal tasks and uses many thinking tokens.

10 people gave an opinion

recommend it
8
criticize it
2
approval share
80%
Each figure is one person. RecommendsCriticizes

Recommended in 4 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: recommended
  4. February 2026: recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: not recommended
  8. June 2026: not 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.
  • 4 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 4 of 13 monthsNeeds 4 or more, 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

Other language models people recommend

The four most recommended other 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.

Nanbeige4.1-3B compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Claude Opus3,3312,74655%134 mo156 owners—
OpenAI GPT1,20598755%136 mo47 owners—
Claude Sonnet85458659%136 mo46 owners—
DeepSeek V4 Flash82822379%81 mo24 ownersApproved
Nanbeige4.1-3BThis page8280%4——
See all 72 language models, ranked

What people said

8 of the 11 comments that mention it, newest first. Each links to the original comment.

“obviously incapable when you try to use them for swe or terminal based tasks”

CriticizesComment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5”

“it is compute intensive (due to looped layers) and made a mistake during tool call”

CriticizesComment from 10 Sep 2026 in “GPT-6 Astra, looped transformers, and hidden reasoning”

“Have you seen Nanbeige4.2-3B or Ling-3.0-tiny?”

RecommendsComment from 11 Aug 2026 in “LFM2.5 2.6B model competitive with 4x larger models”

“Just what I need for my Orange Pi 5.”

RecommendsComment from 22 Jul 2026 in “Nanbeige4.2-3B”

“probably only useful if you cannot fit a bigger model”

MixedComment from 22 Jul 2026 in “Nanbeige4.2-3B”

“this seems ideal for models that scale test time compute”

RecommendsComment from 21 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

“the thinking token count is ... high”

MixedComment from 19 Feb 2026 in “Step 3.5 Flash: Fast Enough to Think. Reliable Enough to Act”

“surprisingly strong benchmarks”

MixedComment from 19 Feb 2026 in “Show HN: Nanbeige 4.1-3B running in the browser via WebGPU”

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