Thinking Machines Launches 276B Inkling-Small, Rivaling Larger Models with 12B Active Params
arena · x · 2026-08-01
Thinking Machines Lab has released Inkling-Small, a new open-weights Mixture-of-Experts (MoE) model. It features 276B total parameters but only 12B active parameters, achieving performance comparable to much larger models at a fraction of the compute cost.
In Chatbot Arena's preliminary AutoEval, Inkling-Small scored 1431 points, ranking #88 overall and #21 among open models. It stands neck-and-neck with compute-heavy open models like Minimax M2.7, Nemotron 3 Ultra, and Deepseek V4 Flash. The model supports native reasoning over audio and images with a context window of up to 1M tokens.
Related event: Inkling-Small: 276B params, 12B active, open-source tops ARC(48 posts)→
More from Models
- Why are sub-15B open models so rare now? Labs seem to have settled on 24-27B minimum — Hot_Example_4456 · 2026-10-16
- User spots model openly generating "ideal responses" to train other models — liminal_bardo · 2026-10-16
- Reflection's 501B MoE Beam hits 463 tok/s on 8x GB200 with NVFP4 at day 0 — zhyncs42 · 2026-10-16
- Gemma 4 31B QAT on one 24GB card: 46 tok/s plain, ~80 with draft model on RTX 4090 — Subject_Poet_3861 · 2026-10-16
- JevBench v1.7.46 leaderboard: new d1-ultra tops 32 API systems at 76.1 composite — airesearch12 · 2026-10-16
- Team of 5 mulls dropping ChatGPT Pro for Business as OpenAI quota parity stays unclear — bettercallfool · 2026-10-16