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Plant genomic language model from Living Models, trained on 320 plant species and paired with Gemma 4 for crop genetics.

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Botanic 1 at a glance

What is Botanic 1?
Botanic 1 is a model from Google DeepMind. Plant genomic language model from Living Models, trained on 320 plant species and paired with Gemma 4 for crop genetics.
Who makes Botanic 1?
Botanic 1 is made by Google DeepMind.
Does Botanic 1 work in the EU?
Unverified. No explicit evidence found. The developer, Living Models, is Paris-based and collaborates with INRAE, but no public availability terms or regional restrictions are given. Last verified 14 Nov 2026.
How much does Botanic 1 cost?
Pricing unknown. No pricing or access terms for BOTANIC-1 given in the provided material.
Where was Botanic 1 shown?
In 1 creator video by AI Search. Most recently by AI Search on 11 Oct 2026, at 10:24 in “New AI enzymes, 700+ math breakthroughs, AI for DNA mutations, room temp semiconductors: AI NEWS”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

BOTANIC-1 is a genetic language model (GLM), described as a plant genomic world model, built by the Paris-based AI biology lab Living Models. It is pre-trained across 320 plant species and is meant to capture evolutionary constraints in plant genomes. Google DeepMind features it on its Gemma "Gemmaverse" pages as an example of Gemma 4 being used in a domain-specific pipeline.

In the featured pipeline, Gemma 4 E4B acts as an agentic orchestrator. It translates natural-language questions into structured queries against BOTANIC-1's inference endpoints, and it also writes bioinformatics pipelines and runs tool calls. BOTANIC-1 scores candidate mutations. In a melon test, the CmEIN3 gene (flower sex) was narrowed from 47,492 genome-wide variants to 3,061 regional candidates. A creator summary says the model ranked the correct mutation first among about 2,500 candidates 90% of the time. The source page compares this against a classical-tools setup (bcftools, Ensembl VEP). That setup in its best runs left two identically scored coding mutations.

Living Models runs Gemma 4 E4B locally via Ollama on a single NVIDIA L4 GPU, so proprietary genomes stay on the user's own infrastructure. The provided material does not describe public weights, pricing or a public API for BOTANIC-1. It appears to be a research and partner system rather than a general release.

Key features
  • Genomic language model pre-trained on 320 plant species
  • Ranks candidate mutations by evolutionary constraint
  • Paired with Gemma 4 E4B as agentic orchestrator via inference endpoints
  • Demonstrated on melon CmEIN3 flower-sex trait with INRAE collaborator
  • Orchestrator runs locally on a single NVIDIA L4 GPU via Ollama
1 moment

As seen on YouTube

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