Thinking Machines launches Inkling, a 975B-parameter open multimodal model
Thinking Machines has entered the competitive multimodal arena with Inkling, a 975-billion-parameter open-source model capable of processing video and audio alongside text. The release signals a strategic pivot by the Philippine-founded lab to establish credibility among established players like Anthropic and OpenAI by democratizing access to large-scale multimodal capabilities. For the broader ecosystem, this represents continued fragmentation of the model landscape toward open alternatives, though the real test lies in whether Inkling's performance and adoption can meaningfully challenge proprietary incumbents or carve out a distinct niche in enterprise and research applications.
Modelwire context
Analyst takeThe Philippine founding context is worth pausing on: Thinking Machines Lab is not a Silicon Valley spinout, and its decision to release Inkling as open-source at 975 billion parameters suggests it is competing on access and geography rather than trying to win on closed-model performance benchmarks it cannot yet dominate.
Modelwire has no prior coverage of Thinking Machines Lab, and this release is largely disconnected from recent activity in our archive. It belongs to a broader pattern of well-resourced regional labs using open-source releases to establish credibility before pursuing enterprise contracts or research partnerships, a playbook that mirrors how earlier non-US labs built initial traction against Anthropic and OpenAI without directly competing on proprietary API revenue.
Watch whether any major cloud provider (AWS, Azure, or Google Cloud) indexes Inkling for managed hosting within the next six months. A hosting partnership would confirm the lab has cleared basic enterprise trust thresholds; absence of one by early 2027 would suggest adoption is stalling at the research tier.
This analysis is generated by Modelwire’s editorial layer from our archive and the summary above. It is not a substitute for the original reporting. How we write it.
MentionsThinking Machines · Inkling · Anthropic · OpenAI · WIRED
Modelwire Editorial
This synthesis and analysis was prepared by the Modelwire editorial team. We use advanced language models to read, ground, and connect the day’s most significant AI developments, providing original strategic context that helps practitioners and leaders stay ahead of the frontier.
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