Is Cohere Down? How to Check Cohere API Status in 2026
Cohere powers enterprise RAG pipelines, semantic search, and document intelligence for thousands of teams. When the Cohere API goes down β whether it's Command, Embed, or Rerank β it can silently break production search and generation workflows. Here's how to diagnose it fast.
Quick Answer: Is Cohere Down Right Now?
- π΅ Official status: status.cohere.com
- π¦ Twitter/X: Search βCohere downβ (Latest tab)
- π Automated monitoring: API Status Check β Cohere Monitor
How to Check If Cohere Is Down
1. Check the Official Cohere Status Page
Cohere's status page at status.cohere.com tracks each API component separately: the Chat API, Generate API, Embed API, Classify API, Rerank API, and the developer dashboard. Check here first β it tells you whether a specific API is degraded or if everything is down.
Subscribe to email notifications on the status page to get proactive incident alerts instead of discovering outages when your app starts failing.
2. Test the Cohere API Directly
Test the Chat API with a minimal request to isolate the issue:
# Test the Chat/Command API
curl https://api.cohere.com/v2/chat \
-H "Authorization: Bearer $COHERE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "command-r-plus-08-2024",
"messages": [{"role": "user", "content": "ping"}]
}'# Test the Embed API separately
curl https://api.cohere.com/v2/embed \
-H "Authorization: Bearer $COHERE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "embed-v4.0",
"texts": ["test"],
"input_type": "search_query"
}'A 200 confirms the API is working. A 503 indicates an outage. A 429 means rate limiting β check your token usage in the Cohere dashboard.
3. Check If It's the Embed API or Chat API
Cohere's Embed API and Chat/Command API run on separate infrastructure. If your RAG pipeline is broken, test both endpoints independently. Your vector embeddings might be failing while chat generation continues working (or vice versa). This is a common source of confusion β users assume the entire platform is down when only one API is affected.
4. Monitor in Real Time with API Status Check
API Status Check monitors Cohere's Chat and Embed endpoints continuously. Get Slack, email, or PagerDuty alerts within seconds of any degradation.
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Try Better Stack Free βWhy Does Cohere Go Down?
Cohere's enterprise focus means it prioritizes uptime, but outages still happen for these common reasons:
- Model Deployment Updates: When Cohere releases a new Command or Embed model version (command-r-plus updates, embed-v4, etc.), rolling deployments can temporarily increase latency or cause brief request failures as old model serving instances are replaced.
- Embed API Overload: The Embed API is Cohere's highest-volume endpoint β many teams run large document indexing jobs that can create sudden traffic spikes. Batch embedding jobs from multiple enterprise customers can overwhelm serving capacity simultaneously.
- Multi-Cloud Infrastructure Issues: Cohere runs on AWS, GCP, and Azure. Cloud provider incidents in specific regions can affect Cohere's availability in those regions, even if other regions remain operational.
- Rate Limit Enforcement Changes: Cohere periodically updates rate limits for different API tiers. Sudden policy changes can look like outages to teams whose integrations hit new limits unexpectedly.
- Fine-Tuned Model Serving: Teams using Cohere's custom fine-tuned model hosting may experience outages specific to their model endpoint that don't appear on the public status page.
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Try 1Password Free βCohere Troubleshooting Checklist
Step 1: Identify Which API Is Failing
- Test Chat API and Embed API independently β they have separate infrastructure.
429= Rate limited. Check your plan's token limits at dashboard.cohere.com.503= Service outage. Verify at status.cohere.com.401= Invalid API key. Regenerate at dashboard.cohere.com/api-keys.
Step 2: Try a Different Model Version
If command-r-plus-08-2024 is failing, try command-r-08-2024 (smaller variant). For embeddings, try switching between embed-v4.0 and embed-english-v3.0. Cohere sometimes rolls back to a stable model version during incidents.
Step 3: Switch to a Fallback for Generation
Route chat/generation traffic to OpenAI GPT-4o or Anthropic Claude while Cohere recovers. For embeddings, switch to OpenAI text-embedding-3-small or Voyage AI embeddings β ensure your vector database schema can handle different embedding dimensions.
Step 4: Check the Cohere Community Forum
Cohere's community forum and Discord often have real-time incident reports and engineering team updates. Search for recent posts about the specific API you're using.
Cohere API Alternatives
For production RAG pipelines, plan your fallback strategy before an outage happens:
OpenAI (Generation + Embeddings)
GPT-4o for generation, text-embedding-3-small/large for embeddings. Most widely supported. Different embedding dimensions require schema updates.
Voyage AI (Embeddings)
Specialized embedding provider with strong retrieval performance. Good Cohere Embed drop-in replacement with similar vector dimensions.
Anthropic Claude (Generation)
Strong document understanding and long-context capabilities. Ideal fallback for Cohere Command in document Q&A and summarization use cases.
Mistral AI (Generation)
European alternative with strong instruction-following. Good for enterprise compliance requirements. Similar API structure to Cohere.
Cohere Uptime & Outage History
Cohere's enterprise positioning means it invests heavily in reliability, maintaining strong uptime SLAs for paid customers. Most public incidents have been brief β under an hour β and typically affect specific API endpoints rather than the entire platform. The Embed API historically experiences more incidents than the Chat API due to higher request volumes from bulk indexing workflows.
For real-time uptime monitoring and incident history, check API Status Check's Cohere monitoring page.
Frequently Asked Questions
What is the difference between Cohere Command and Embed?
Command models (command-r, command-r-plus) are for text generation, chat, and instruction-following. Embed models generate vector embeddings used for semantic search, clustering, and RAG retrieval. They have separate API endpoints and often different uptime characteristics.
Is Cohere good for RAG?
Yes β Cohere's Embed models are specifically optimized for retrieval tasks and consistently rank highly in embedding benchmarks. Paired with Cohere Rerank, it's a strong end-to-end RAG stack.
Does Cohere offer SLAs?
Cohere offers uptime SLAs for enterprise customers on paid plans. Free tier usage does not come with SLA guarantees. Check their enterprise pricing page for current SLA terms.
Don't Let Cohere Outages Break Your RAG Pipeline
A broken Embed API means your semantic search returns garbage results. A broken Command API means your AI assistant goes silent. Know about Cohere outages before your users do.
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Monitor Cohere's Chat, Embed, and Rerank APIs simultaneously. Get Slack or email alerts the instant any component fails.
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