You called the DeepSeek API and got:

TimeoutError: Request timed out after 60 seconds

Or the connection dropped mid-response. Here are the fixes.

Fix 1: Increase timeout

DeepSeek API calls can be slow for large models. Increase your timeout:

import openai

client = openai.OpenAI(
    base_url="https://api.deepseek.com",
    api_key="your-key",
    timeout=120.0  # 2 minutes instead of default 60
)

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Your prompt"}]
)

For curl:

curl --max-time 120 https://api.deepseek.com/v1/chat/completions \
  -H "Authorization: Bearer your-key" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-v4-pro","messages":[{"role":"user","content":"Hello"}]}'

Fix 2: Reduce request size

Large prompts cause timeouts. Reduce your input:

# Instead of sending entire codebase
prompt = open("huge_file.py").read()  # 100KB

# Send only relevant parts
prompt = "\n".join(open("huge_file.py").readlines()[:200])  # First 200 lines

DeepSeek’s context limits:

• DeepSeek V3: 64K tokens
• DeepSeek V4 Pro: 1M tokens (but large contexts are slower)

Fix 3: Use streaming

Streaming prevents timeouts on long responses:

stream = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Write a long function"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Streaming gives you partial results even if the full response takes a while.

Fix 4: Check rate limits

DeepSeek has rate limits that can cause slowdowns:

# Check your usage
response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "test"}],
    headers={"X-RateLimit-Remaining": "check"}
)

# If rate limited, wait and retry
import time
time.sleep(60)

Rate limits vary by tier:

• Free tier: 10 requests/minute
• Pay-as-you-go: 60 requests/minute
• Enterprise: Custom limits

Fix 5: Switch to a faster model

DeepSeek V4 Pro is slow for simple tasks. Use Flash for speed:

# Slow but capable
model = "deepseek-v4-pro"  # ~120 tok/s

# Fast but less capable
model = "deepseek-v4-flash"  # ~180 tok/s

# Fastest
model = "deepseek-v3"  # ~200 tok/s

Fix 6: Server overload

DeepSeek servers can be overloaded during peak hours:

import random
import time

def call_with_retry(prompt, max_retries=3):
    for attempt in range(max_retries):
        try:
            return client.chat.completions.create(
                model="deepseek-v4-pro",
                messages=[{"role": "user", "content": prompt}]
            )
        except openai.APITimeoutError:
            wait = (2 ** attempt) + random.uniform(0, 1)
            print(f"Timeout, retrying in {wait:.1f}s...")
            time.sleep(wait)
    raise Exception("Max retries exceeded")

Fix 7: Check DeepSeek status

If timeouts persist, DeepSeek may be down:

# Check API status
curl -s https://status.deepseek.com

# Or check their status page
open https://status.deepseek.com

Fix 8: Use a proxy or alternative endpoint

If DeepSeek’s main endpoint is slow, try alternative endpoints:

# Try different regions
endpoints = [
    "https://api.deepseek.com",
    "https://api.deepseek.com/v1",
    "https://api.deepseek.com/hk",  # Hong Kong endpoint
]

for endpoint in endpoints:
    try:
        client = openai.OpenAI(base_url=endpoint, api_key="your-key")
        response = client.chat.completions.create(
            model="deepseek-v4-pro",
            messages=[{"role": "user", "content": "test"}]
        )
        print(f"Success with {endpoint}")
        break
    except Exception as e:
        print(f"Failed {endpoint}: {e}")

Still not working?

1. Check your internet — ping api.deepseek.com
2. Try a different network — Some ISPs block certain endpoints
3. Use OpenRouter — Route through OpenRouter for better reliability: https://openrouter.ai/api/v1
4. Check billing — Expired credit can cause silent failures
5. Contact support — DeepSeek support can check your account status

FAQ

Why is DeepSeek API so slow?

DeepSeek API can be slow during peak hours or when processing large prompts. The most common causes are: large context length (use V4 instead of V3 for 1M context), server overload (retry with backoff), or network issues (try a different endpoint).

How do I know if DeepSeek is down?

Check https://status.deepseek.com for current status. You can also ping api.deepseek.com to test connectivity. If the status page shows issues, wait and retry later.

Should I use V3 or V4?

Use V4 (deepseek-v4-pro or deepseek-v4-flash) for most tasks. V4 has a 1M context window (vs 64K for V3) and better performance. V3 is only recommended if you specifically need its behavior or have legacy code that depends on it.

Related: DeepSeek V4 Complete Guide · DeepSeek API Rate Limit Fix · DeepSeek Context Length Fix · OpenRouter Complete Guide · AI API Pricing Compared 2026 · Best Open Source Models 2026