Mira Murati's Inkling AI Model Launches on OpenRouter
Mira Murati, former OpenAI CTO, released her first AI model from Thinking Machines Lab after two years of development. The Inkling model is now available on OpenRouter and shows strong performance metrics, though cost-efficiency remains mixed.
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Inkling Model Now Available
Mira Murati's Thinking Machines Lab released its debut AI model, Inkling, on OpenRouter following two years without public releases from the lab. The model is accessible to users through OpenRouter's API and can be tested directly on the platform.
Performance and Pricing Trade-offs
Inkling achieved notable scores on the MCP (Massive Comprehensive Performance) benchmark, positioning it competitively against other open-source models available in Western markets. However, the model's pricing structure and inference costs create a more nuanced value proposition than raw benchmark numbers suggest. The price-to-performance calculation depends on the specific use case and comparison baseline, making straightforward cost-benefit analysis difficult without detailed throughput and latency requirements.
Why It Matters
For Traders
This is not a trading-relevant story; Inkling is an AI model, not a tradeable asset or protocol.
For Investors
Murati's model entry signals continued talent migration from labs to independent ventures; market structure for open-source AI may fragment further.
For Builders
Developers can now evaluate Inkling as an inference option; benchmark scores matter less than latency, cost per token, and downstream application fit.
This article is for information only and is not financial advice. Read the full disclaimer.
