LLM ReferenceLLM Reference

Embed English Light v3.0

cohere-embed-english-light-v3-0

Researched 137d ago

Last refreshed 2026-04-18. Next refresh: weekly.

ProprietaryMultimodal

Embed English Light v3.0 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: Coding task fit, 0 tracked provider routes, and research from 2026-01-01.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 512 context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Strict JSON or tool-calling flows
  • Teams that need a tracked hosted API route today

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Smaller, faster English-only embedding model. Produces 384-dimensional embeddings with nearly equivalent capability to Embed English v3.0 but with reduced latency. Supports text and image inputs with multiple similarity metrics.

Embed English Light v3.0 has a 512-token context window.

Capabilities

Multimodal

Rankings

Specifications

FamilyEmbed
Released2023-11-02
Context512
Architecturetransformer
Specializationembedding
LicenseProprietary

Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website