Using Cohere Embed 5 Fast on Vercel AI Gateway

Implementation guide · Cohere Embed · Cohere

Serverless

Vercel AI Gateway exposes Cohere Embed 5 Fast through model ID cohere/embed-v5.0-fast. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-21. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call cohere/embed-v5.0-fast — see the documentation for request format.
  3. 3
    You'll be billed $0.08/1M input. See full pricing.

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
cohere/embed-v5.0-fast

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="cohere/embed-v5.0-fast",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$0.08

Capabilities

VisionMultimodal

About Cohere Embed 5 Fast

Cohere Embed 5 Fast is the faster, lighter tier of Cohere's Embed 5 embedding family, released September 30, 2026. It embeds text, images and mixed documents such as PDFs with a 128K-token context and output dimensions from 256 to 2,048, and Pro and Fast share one embedding space so a corpus indexed with Pro can be queried with Fast. The Cohere API serves it as embed-v5.0-fast at $0.08 per 1M tokens.

Model Specs

Released2026-09-30
Context128K

Provider

Vercel AI Gateway

Vercel