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Mira Murati’s Inkling AI Model Review: Best Open-Weights Model in the West

By Priya Chen · · 2 min read

Mira Murati's Thinking Machines Lab has finally broken its silence, releasing its debut AI model, Inkling, which is now available on OpenRouter and drawing attention as one of the strongest open-weights options developed in the West.

A Long-Awaited Debut

After roughly two years of quiet operation following Murati's departure from OpenAI, Thinking Machines Lab has put its first model into the hands of developers. The launch ends a period of intense speculation about what the well-funded startup would produce, and early impressions suggest the wait may have been worth it for those hunting for capable open-weights systems outside the dominant closed-source players.

The model arrives on OpenRouter, a platform that lets developers access and compare a wide range of AI models through a single interface. That distribution choice makes Inkling immediately testable against rivals, giving the community a fast read on how it stacks up in real workloads rather than curated benchmarks.

A two-year silence has ended with a model that punches well above its weight class.

Strong Benchmarks, Trickier Economics

One of the standout results is Inkling's performance on MCP-related tasks, where the model posts genuinely impressive scores. That signals real strength in the kind of tool-use and structured interaction that increasingly defines practical AI deployments, not just raw text generation.

The harder question is value. While the model performs well, the price-to-performance calculation is more complicated once cost enters the picture. Developers weighing Inkling against cheaper or more established alternatives will need to decide whether its capabilities justify the spend for their specific use cases.

Key takeaways from the release include:

  • Inkling is positioned as one of the best open-weights models built in the West
  • Its MCP score is a clear highlight of the debut
  • Cost efficiency is the main open question for adopters

Why It Matters

Open-weights models have become a critical counterweight to closed systems from the largest labs, offering transparency and flexibility that many builders value. A credible new entrant from a team with Murati's pedigree strengthens that ecosystem and adds competitive pressure across the board.

Whether Inkling becomes a go-to choice will likely depend on how its pricing evolves and how it holds up in production. For now, its arrival marks a meaningful moment for a startup that had operated largely out of public view.

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