Introducing Inkling 2 Small

Try on Tinker Model card Today we are introducing our second model generation with Inkling 2 Small. It is a Mixture-of-Experts model with 594B total parameters, 17B active, and supports image inputs and variable effort. Inkling 2 Small far surpasses our previous models’ scores on the Artificial Analysis Intelligence Index with a score of 31, reflecting gains in performance on agentic coding, vision, knowledge work, and reasoning. The increase in capabilities comes from improvements made at every step of our training process, including more efficient pre-training and a large, unified RL run. Inkling 2 Small will initially be available through Tinker, with closed weights, following the approach we outlined in a safe path to open weights . We intend to make the full weights available under an Apache 2.0 license next week after the completion of external safety testing and red-teaming.

Inkling 2 Small is a 594B-parameter Mixture-of-Experts model with 17B active parameters, built on the previous generation's approach and trained with a single joint reinforcement-learning run rather than separate reasoning and agentic passes.

At launch it was available only through Tinker, with closed weights, and a stated intention to publish the full weights under Apache 2.0 after external safety testing and red-teaming. The announcement also discloses that early checkpoints were tested on OpenCode under the name Fledge-Alpha.

Full breakdowns live on the specifications, benchmarks and pricing pages.