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Simon Willison's llm tool adds multimodal embeddings, cheaper default

The developer Simon Willison has released version 0.37 of his `llm` tool, introducing multimodal embeddings and a more cost-effective default model. The update allows the tool to process various content types for embeddings, which is crucial for models like Gemini Embedding 2 that handle text, audio, images, and video. While this change is beneficial for offline analysis and retrieval tasks, it is noted that real-time applications still face latency challenges with embedding models. AI

IMPACT Enables more versatile embedding capabilities for AI tools, particularly for offline analysis and retrieval tasks.

RANK_REASON Software tool update with new features and model changes.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Simon Willison's llm tool adds multimodal embeddings, cheaper default

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7 / 100
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Tool
Software tool update with new features and model changes.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · devs ·

    llm 0.37 Adds Multimodal Embeddings and a Cheaper Default — What That Means for Local Audio Pipelines

    <p>Simon Willison shipped <a href="https://simonwillison.net/2026/Nov/2/llm/" rel="noopener noreferrer">llm 0.37</a> on 2 November. The release adds <code>gpt-6.1-sol</code> and <code>gpt-6.1-terra</code>, a new <code>llm openai endpoint add</code> command for arbitrary OpenAI-co…