Glimmer
Shares rank 56 of 72 language models by recommenders
People recommend it for finding every planted problem in tests with little steering. One critic found it weaker than a 27B model, and that is the only complaint.
People recommend it for finding every planted problem in tests with little steering. One critic found it weaker than a 27B model, and that is the only complaint.
9 people gave an opinion
- recommend it
- 8
- criticize it
- 1
- approval share
- 89%
Recommended in 2 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 8 people recommend itNeeds 10 or more, not met.
- 8 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 2 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
Finds planted problems with little steering
“all were able to find every problem planted there, with fairly little steering”
Comment from 13 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025” “were able to find every problem planted there, with fairly little steering”
Comment from 14 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025” “all were able to find every problem planted there”
Comment from 13 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025” - Comment from 13 Sep 2026 in “Astra and Fable still hack on simple variants of alignment evals from 2025”
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.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Claude Opus | 3,331 | 2,746 | 55% | 13 | 4 mo156 owners | — |
| OpenAI GPT | 1,205 | 987 | 55% | 13 | 6 mo47 owners | — |
| Claude Sonnet | 854 | 586 | 59% | 13 | 6 mo46 owners | — |
| DeepSeek V4 Flash | 828 | 223 | 79% | 8 | 1 mo24 owners | Approved |
| GlimmerThis page | 8 | 1 | 89% | 2 | — | — |
What people said
6 of the 9 comments that mention it, newest first. Each links to the original comment.
“were able to find every problem planted there, with fairly little steering”
“all were able to find every problem planted there, with fairly little steering”
“all were able to find every problem planted there”
“were able to find every problem planted there”
“Glimmer is interesting because it scales well under load.”
“Glimmer is stupider than 3.6 27B.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.