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Local LLMs shipped this week.

Mistral's new small model, two Ollama releases, and a quiet pivot from three vendors in the agent tooling space.

The Mistral 24B that runs on a Mac mini

Mistral released a 24B-parameter model this week that genuinely fits in 16 GB of unified memory with room to spare. We tested on an M2 Pro: ~38 tokens per second on a single turn, no thermal throttling for sustained 30-minute sessions. For most people this replaces >90% of what they were paying OpenAI for.

Ollama 0.4 lands model-mixing

The new release adds first-class support for routing between models at runtime. You point Ollama at a small model for hot questions and a bigger one for the hard ones, using a routing LLM as the judge. Worth a real upgrade test if you run any local setup.

opencode gets session export

The most-requested feature since launch landed in v0.42: full session export to plain Markdown and JSON. You can now hand an opencode session to a colleague, version a session in git, or paste the transcript into a code review.

What we're watching

Three quiet pivots in the agent tooling space: a major IDE shipped an “agent pane” that targets our opencode use-case, a Linux distro vendor baked in a model router, and a public-cloud provider made its vLLM-compatible inference endpoint free for under $1/1k tokens. Worth a longer write-up next week.

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