cohere

Cohere: Embed 5 Fast

cohere/embed-5-fast

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter's catalog describes cohere/embed-5-fast as the lower-latency, cost-efficient tier of Cohere's Embed 5 multimodal embedding family, at about 1B parameters. The listing reports text, image, and interleaved text-and-image inputs, embedding outputs, and a 128,000-token context length. These are catalog-reported characteristics rather than independently measured performance. No benchmark evidence or separate model card was included in this source pack, so suitability should be validated on the intended workload.[1]

Strengths

Catalog-reported multimodal inputs cover text, images, and interleaved content.[1]
The listing positions this variant for lower latency and cost efficiency.[1]
The catalog reports embedding outputs and a 128,000-token context length.[1]

Limitations

Only OpenRouter catalog evidence was supplied; no independent model card was available.[1]
The supplied record contains no benchmark results or measured quality figures.[1]
Real-world latency, cost, and output quality require workload validation.[1]

Where to use it

Consider it for embedding text, images, or mixed content in one pipeline.[1]
Evaluate it as a candidate for multimodal search or retrieval workloads.[1]
Pilot it where latency or cost efficiency is a priority.[1]

Sources

[1] OpenRouter catalog · Cohere: Embed 5 FastSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Embed 5 Fast is the lower-latency, cost-efficient tier of Cohere's Embed 5 family of multimodal embedding models (about 1B parameters). It embeds text, images, and interleaved text and image content...

Specifications

Model ID: cohere/embed-5-fast
Canonical ID: cohere/embed-5-fast-20261029
Creator: cohere
Added to OpenRouter: 03.11.2026
Context length: 128,000
Modality: text+image->embeddings
Input modalities: text, image
Output modalities: embeddings
Token pricing: USD per 1M tokens: in $0.080 / out $0
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	output: embeddings

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Cohere	128,000	$0.080	$0	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.