C

Cohere: Embed 4

Cohere
Streaming Vision
128K
Context
$0.1200
Input /1M
N/A
Output /1M
N/A
Max Output
Run API Call Open in Chat

Cohere: Embed 4

Model Overview

Property Value
Model ID cohere/embed-v4
Provider Cohere
Category Embedding
Released TBD
Status Active
Flagship No

Description

Embed 4 is a text embedding model for semantic search and vector-based tasks. Developed by Cohere, this model is optimized for its specific use case category.

Specifications

Property Value
Context Window 128000 tokens
Max Output Tokens N/A
Knowledge Cutoff N/A
Modalities Text
Speed Tier N/A
Quality Tier N/A

Pricing

Type Price
Input $0.12 per 1M tokens
Output Free per 1M tokens

Capabilities

Capability Supported
Vision/Image Input No
Tool/Function Calling No
JSON Mode No
Streaming Yes
System Prompt Yes

Use Cases

  • Semantic search and retrieval
  • Document similarity comparison
  • Clustering and categorization
  • Recommendation systems
  • Vector-based semantic matching

Strengths

  • Very large context window for long-form content

Limitations

  • No vision or image input capability
  • Limited tool/function calling support
  • No guaranteed JSON output mode
  • Specialized model not suitable for general chat

Integration with LangMart

Gateway Support:

  • Type 1 (Full Platform): Yes
  • Type 2 (Cloud Gateway): Yes
  • Type 3 (Self-hosted): Yes

API Endpoint:

curl -X POST https://api.langmart.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cohere/embed-v4",
    "messages": [{"role": "user", "content": "Hello"}],
    "max_tokens": 1024
  }'

OpenAI Compatibility: Full compatibility with OpenAI API format.

Models in this category and from this provider are available in the LangMart marketplace.

Additional Resources

Data Source: LangMart Provider Models Database Last Updated: 2026-01-02