Inkling-Small: the quarter-size open model that out-codes its trillion-parameter sibling
Thinking Machines released Inkling-Small on July 30: an open-weights model with 276 billion total but only 12 billion active parameters. Despite being roughly a quarter the size of the company's 975-billion-parameter Inkling, it scores higher on coding benchmarks — 80.2% versus 77.6% on SWE-bench Verified — while costing around $0.30/$1.20 per million tokens. The company concedes the smaller model knows fewer facts and trails on some agentic tasks.
Why it mattersFlagship-level coding skill now fits in a model cheap enough to run widely, and the weights are freely available on Hugging Face. For developers this keeps pushing the price of serious coding assistance down; for closed-model labs, the open-weights floor just rose again.
Read in the app — free, in 9 languages
Related stories
Reflection will hand out a 501-billion-parameter model for free.2026-10-06Microsoft's new transcriber starts writing before you finish speaking.
2026-10-05An American lab is about to give away a China-class open model.
2026-10-05A video site now gives away the best-scoring open translation model.
2026-10-05OpenAI will ship a Codex upgrade daily for 28 days or reset limits.
2026-10-05