llm-gemini plugin adds Gemini 3.7 Flash and reasoning traces
Simon Willison's llm-gemini plugin now supports Google's latest model lineup, including the freshly released Gemini 3.7 Flash alongside earlier variants and two embedding models. The update also brings compatibility with LLM 0.32, unlocking reasoning trace visibility for developers. This matters because the plugin bridges Google's rapidly expanding model family into the open-source LLM CLI ecosystem, lowering friction for developers who want to experiment with Gemini's newest capabilities without vendor lock-in. The reasoning trace feature particularly signals growing developer demand for model transparency during inference.
Modelwire context
Analyst takeThe real story isn't the model support itself (vendors always add new models to plugins) but that reasoning traces are now visible through the LLM CLI. This shifts what developers can inspect and debug, potentially changing how they evaluate Gemini versus competing models in production workflows.
This is largely disconnected from recent activity in the space, as we haven't covered the broader LLM CLI ecosystem or Simon Willison's plugin work previously. However, it belongs to the category of tooling fragmentation that matters when Google, OpenAI, and Anthropic all release models faster than any single interface can standardize around. The reasoning trace feature is the first concrete signal that open-source CLI tools are becoming a meaningful distribution channel for model capabilities, not just a convenience layer.
If Anthropic or OpenAI add reasoning trace exports to their own CLI integrations within the next two quarters, that confirms reasoning visibility is becoming table stakes for developer tooling. If they don't, it suggests Willison's plugin is ahead of where the vendors themselves are prioritizing transparency.
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.
MentionsGoogle · Gemini 3.7 Flash · llm-gemini · Simon Willison · LLM CLI · Gemini embedding models
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.
Modelwire summarizes, we don’t republish. Simon Willison originally reported this story as “llm-gemini 0.33”. The full content lives on simonwillison.net. If you’re a publisher and want a different summarization policy for your work, see our takedown page.