LI
LightOn
Embedding model · France ·Feb 2026

LateOn-Code

Embedding Open Weights
130M
Parameters
8.2K
Context

About LateOn-Code

LateOn-Code is an AI model developed by LightOn, in the embedding category, released in 2026, made available as an open-weights model with 0.1B params. Late-interaction (ColBERT-style) multi-vector retrieval model specialized for code search, built on LightOn's improved M.

On this page you'll find LateOn-Code's full specifications, including a context window of 8.2K tokens. Review provider pricing and benchmark scores below, or compare LateOn-Code head-to-head with other embedding models.

→ More models by LightOn → All embedding models → AI benchmarks leaderboard

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Frequently asked questions

What is LateOn-Code? ▶

Late-interaction (ColBERT-style) multi-vector retrieval model specialized for code search, built on LightOn's improved M It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created LateOn-Code? ▶

LateOn-Code was developed by LightOn and released in 2026.

Is LateOn-Code open source or proprietary? ▶

LateOn-Code ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

What is LateOn-Code's context window? ▶

LateOn-Code supports a context window of 8.2K tokens, and has 0.1B params.

How much does LateOn-Code cost? ▶

Pricing for LateOn-Code depends on the provider. See the providers table on this page for the latest API rates.

How does LateOn-Code perform on benchmarks? ▶

Benchmark scores for LateOn-Code are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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