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RELEASE · MODELS · #3219

Thinking Machines unveils Inkling 2 Small, a 594B-parameter mixture-of-experts model

Thinking Machines says it has released Inkling 2 Small, a mixture-of-experts base model with 594 billion parameters (17 billion active) that accepts text and images and is initially offered via the Tinker platform; the company intends to publish the weights under an Apache 2.0 license after external safety testing. According to Thinking Machines and Artificial Analysis metrics cited by the company, Inkling 2 Small scores 31 on the Artificial Analysis AI Index (an 18-point gain over its predecessor), shows large gains on agentic and coding benchmarks, produces more output tokens and costs more per task, and claims the strongest performance among Western open-weight models.

KEY POINTS

  1. Thinking Machines says it has released Inkling 2 Small, a mixture-of-experts base model with 594 billion parameters (17 billion active) that accepts text and images and is initially offered via the Tinker platform; the company intends to publish the weights under an Apache 2.0 license after external safety testing.
  2. According to Thinking Machines and Artificial Analysis metrics cited by the company, Inkling 2 Small scores 31 on the Artificial Analysis AI Index (an 18-point gain over its predecessor), shows large gains on agentic and coding benchmarks, produces more output tokens and costs more per task, and claims the strongest performance among Western open-weight models.
  3. This release is notable because it positions a Western open-weight model with competitive benchmarks and a planned permissive Apache 2.0 weight release, potentially shaping the open-model landscape and enterprise adoption.

WHY IT MATTERS

This release is notable because it positions a Western open-weight model with competitive benchmarks and a planned permissive Apache 2.0 weight release, potentially shaping the open-model landscape and enterprise adoption.

SOURCES & TIMELINE

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