Trendingby GlyphReasoning models
Peak · emerged September 2024 · high May 2026 · -11% on the month before · 173 mentions on Trending in 14 days
Models trained with reinforcement learning to think step by step, spending more compute at answer time. Named by OpenAI: Learning to Reason with LLMs (OpenAI o1) (Sep 12, 2024). Also called Reasoning model, Thinking models, Test-time compute, Inference-time scaling, Long chain of thought.
Index 0 to 100, monthly
Signals
Hacker News stories, last 12 months60 stories, -70% on the 12 months before
arXiv papers, last 12 months2,462 papers, +40% on the 12 months before
Wikipedia views, October 20267,376, +40% on a year beforeProduct releases naming it18 since Feb 19, 2026GitHub repositories1,571| Signal | Reads as | |
|---|---|---|
| Hacker News stories, last 12 months60 stories, -70% on the 12 months before | 60 stories, -70% on the 12 months before | Decline |
| arXiv papers, last 12 months2,462 papers, +40% on the 12 months before | 2,462 papers, +40% on the 12 months before | Adoption |
| Wikipedia views, October 20267,376, +40% on a year before | 7,376, +40% on a year before | Adoption |
| Product releases naming it18 since Feb 19, 2026 | 18 since Feb 19, 2026 | Adoption |
| GitHub repositories1,571 | 1,571 | Adoption |
Trending terms
| Term | PeakPeak score | ||
|---|---|---|---|
| Nov 8yesterday | 16 | 29 |
Companies
| Name | Mentions |
|---|---|
| 6 | |
| 3 | |
| 3 | |
| 2 | |
| 1 | |
| 1 | |
| 1 | |
| 1 |
Releases
18 releases since Feb 19, 2026| Name | |
|---|---|
| Oct 16, 20263 weeks ago | |
| Oct 16, 20263 weeks ago | |
| Oct 15, 20263 weeks ago | |
| Oct 15, 20263 weeks ago | |
| Oct 15, 20263 weeks ago | |
| Sep 27, 20266 weeks ago | |
| Sep 25, 20266 weeks ago | |
| Sep 24, 20266 weeks ago |
Models
| Name |
|---|
| o3OpenAI |
| o3-proOpenAI |
| DeepSeek-R1 (May 2025)DeepSeek |
| DeepSeek R1 Claude 3 5 SonnetDeepSeek |
Papers
GitHub projects
1,571 repositoriessapientinc/HRMHierarchical Reasoning Model Official ReleaseMiniMax-AI/MiniMax-M1MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.TsinghuaC3I/Awesome-RL-for-LRMsA Survey of Reinforcement Learning for Large Reasoning Modelsopen-thoughts/open-thoughtsFully open data curation for reasoning modelsATH-MaaS/Marco-o1An Open Large Reasoning Model for Real-World SolutionsRUC-NLPIR/WebThinker[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
| Name | Stars | |
|---|---|---|
| sapientinc/HRMHierarchical Reasoning Model Official Release · Jul 9, 2025 1 year ago | Jul 9, 20251 year ago | 12,664 |
| MiniMax-AI/MiniMax-M1MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. · Jun 14, 2025 1 year ago | Jun 14, 20251 year ago | 3,186 |
| TsinghuaC3I/Awesome-RL-for-LRMsA Survey of Reinforcement Learning for Large Reasoning Models · Mar 20, 2025 1 year ago | Mar 20, 20251 year ago | 2,497 |
| open-thoughts/open-thoughtsFully open data curation for reasoning models · Jan 27, 2025 1 year ago | Jan 27, 20251 year ago | 2,352 |
| ATH-MaaS/Marco-o1An Open Large Reasoning Model for Real-World Solutions · Oct 22, 2024 2 years ago | Oct 22, 20242 years ago | 1,538 |
| RUC-NLPIR/WebThinker[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability · Mar 28, 2025 1 year ago | Mar 28, 20251 year ago | 1,471 |
Partnerships
| Name | |
|---|---|
| Jul 30, 20263 months ago |
Related movements
Synthetic dataTraining and evaluation data generated by models or simulators instead of collected from people.AI agentsModels that plan and act in steps, calling tools and other services until a task is done.Mixture of expertsModels split into many expert blocks with only a few active per token, so they grow in size without growing in cost.
| Movement | Stage |
|---|---|
| Synthetic dataTraining and evaluation data generated by models or simulators instead of collected from people. | Plateau |
| AI agentsModels that plan and act in steps, calling tools and other services until a task is done. | Rising |
| Mixture of expertsModels split into many expert blocks with only a few active per token, so they grow in size without growing in cost. | Peak |
History
Stage changed from plateau to peak
Tracking started: emerged September 2024, plateau, 5 other names recorded
| Date | What changed |
|---|---|
| Oct 2, 2026 | Stage changed from plateau to peak |
| Sep 24, 2026 | Tracking started: emerged September 2024, plateau, 5 other names recorded |
Sources: Curve: Hacker News story titles, Wikipedia pageviews and arXiv papers by month, refreshed Nov 1, 2026. Related entities from the other Glyph Ibis sources' public APIs, matched by name. How stages work.