Thinking Machines bets on efficiency over size with its second model, Inkling Small
Quick Answer
Thinking Machines has launched Inkling Small, an efficient reasoning model scoring 40 on the Intelligence Index with 276 billion parameters.
Quick Take
It outperforms its predecessor in coding tests while being more token-efficient, averaging 24K output tokens per task, and offers a 256K-token context window for diverse inputs.
Key Points
- Inkling Small has 276 billion parameters and scores 40 on the Intelligence Index.
- It outperforms Inkling in coding tests like (32% vs. 30%).
- The model is highly token-efficient, averaging 24K output tokens per task.
- It supports text, image, and speech inputs with a 256K-token context window.
- Weights are available on Hugging Face for user fine-tuning.
Source Excerpt
Thinking Machines, the AI lab from former OpenAI CTO Mira Murati, has released Inkling Small. The open-weights reasoning model is less than a third the size of Inkling but beats it on several coding and reasoning benchmarks.
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