Thinking Machines releases Inkling 2 Small, which scores 31 on AA benchmarks, ranking first among open-source models in the U.S.
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Beating AI News: Thinking Machines, founded by former OpenAI CTO Mira Murati, has launched its new model Inkling 2 Small. Its Artificial Analysis composite score hit 31 points, up from 13 points for the previous generation, making it the highest-scoring open-source model in the U.S. Despite being named "Small", the model has a total of 594 billion parameters, with 17 billion activated per inference. The most notable improvement lies in its agent capabilities: the automation task pass rate rose from 5% to 46%, and the programming test score increased from 5% to 25%, though it still lags slightly behind DeepSeek V4.1 Flash’s 28.5%. Thinking Machines primarily uses reinforcement learning to boost the model’s ability to handle complex tasks. Artificial Analysis tests found the model outputs an average of around 150,000 tokens per task, four times that of the prior generation. Its average cost climbed from $0.20 to $1.18, and completing one task takes roughly 21 minutes. Currently, Inkling 2 Small is available for inference and fine-tuning on Tinker. Full model weights have not been released yet; the company plans to open-source it under the Apache 2.0 license next week, after completing external security testing.
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