---
title: "Embed v4.0"
route_path: "/model/embed-v4.0"
canonical_url: "https://www.pipellm.ai/model/embed-v4.0"
markdown_path: "/llms/models/embed-v4.0.md"
markdown_url: "https://www.pipellm.ai/llms/models/embed-v4.0.md"
content_type: "model-detail-page"
description: "Machine-readable detail page for Embed v4.0."
generated_at: "2026-10-04T01:10:16.870Z"
---
Canonical page: https://www.pipellm.ai/model/embed-v4.0
Markdown mirror: https://www.pipellm.ai/llms/models/embed-v4.0.md
Content type: model-detail-page
Generated at: 2026-10-04T01:10:16.870Z
# Embed v4.0
## Query Intents
- Understand pricing, provider availability, context window, and capabilities for Embed v4.0.
- Compare Embed v4.0 against other models available through PipeLLM.
- Find the canonical model identifier to use in SDK or API requests.
## Overview
Embed v4.0 provides embeddings through PipeLLM. Use model ID embed-v4.0 with /v2/embed.
## Model Metadata
- Display name: Embed v4.0
- Model ID: embed-v4.0
- Provider family: Cohere
- Release date: Unknown
- Context window: —
- Max output: —
- Input modalities: text
- Output modalities: text
- Tool use support: No
- Computer use support: No
- Cache control support: No
## API Integration
Use the native API; protocol conversion is not supported.
- [Native HTTP](https://docs.pipellm.ai/api-reference/introduction): `/v2/embed`
## Official Pricing (per 1M tokens)
| Metric | <=200K Context | >200K Context |
| --- | --- | --- |
| Input Price | $0.12 | — |

## Provider Availability
| Provider | Region | Context Window | Max Output | Input Price | Output Price | Cache Read | Cache Write |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Cohere | — | — | — | $0.12 | — | — | — |

## Documentation
Send an authenticated POST request to https://api.pipellm.ai/v2/embed with model set to embed-v4.0. Use the Cohere embed request format with texts and input_type.