Cohere
EmbeddingFREE TIERCommand R+, Embed v3 — enterprise RAG specialist
Operational
All systems responding normally
Last checked 14/06/2026, 4:49:46 am
378ms response
Uptime History100.00% uptime
2026-06-07Today
Uptime
100.00%
Avg Latency
330ms
P95 Latency
407ms
Fastest
135ms
Checks
150
Response Time
Last 60 checks135ms min330ms avg861ms max
💰 Pricing
command-r-plusFREE
Input: $2.5/1MOutput: $10/1M
command-r: $0.15/$0.60
1000 API calls/month
embed-v3FREE
Embed: $0.1/1M
1000 calls/month
⚡ Rate Limits
free
RPM: 20
1000 API calls/month total on trial.
🤖 Models (1)
| Model | Task | Context | Vision | Tools | JSON |
|---|---|---|---|---|---|
| Command R+ RAG-optimised. Best for enterprise retrieval | llm | 128k | — | ✅ | — |
Recent Checks
Showing last 15Operational
378ms14 June, 04:49 am
Operational
297ms14 June, 04:15 am
Operational
341ms14 June, 03:42 am
Operational
363ms14 June, 03:04 am
Operational
330ms14 June, 02:34 am
Operational
347ms14 June, 01:54 am
Operational
281ms14 June, 01:18 am
Operational
296ms14 June, 12:37 am
Operational
321ms13 June, 11:48 pm
Operational
331ms13 June, 11:02 pm
Operational
267ms13 June, 10:22 pm
Operational
336ms13 June, 09:48 pm
Operational
310ms13 June, 09:01 pm
Operational
320ms13 June, 08:09 pm
Operational
342ms13 June, 07:08 pm
Other Embedding Providers
Pinecone
Managed vector database for semantic search + RAG
Weaviate
Open-source vector database — hybrid search, multi-modal
Qdrant
High-performance vector DB — built for production AI search
Chroma
Open-source vector database — fast setup for RAG
Voyage AI
State-of-the-art embedding models for RAG and retrieval