- Models
- DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813
meldport/deepseek-v4-pro-0813-aliDeepSeek V4 Pro 0813 is a higher-capability variant built for deep reasoning, coding, and complex problem solving. Supports Text, Cache.
MODEL OVERVIEW
About DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a higher-capability variant built for deep reasoning, coding, and complex problem solving. Supports Text, Cache.
DeepSeek positions this model as a higher-capability variant for teams that need predictable API access, explicit pricing, and provider routing through Meldport. The capability list above is the published contract for this model; verify your request shape against the quickstart before sending production traffic.
GOOD FIT FOR
- Text generation, extraction, and automation
- Tool calling and agent workflows
BEFORE YOU SHIP
- Check capabilities, context limit, and price against your workload.
- Test tool call parsing and error handling before production.
TECHNICAL SPECIFICATIONS
What this model supports
| Model ID | meldport/deepseek-v4-pro-0813-ali |
|---|---|
| Publisher | DeepSeek |
| Capabilities | Text, Cache, Tools |
| Context window | 1M |
| Lifecycle | active |
| Verified | Nov 1, 2026 |
CURRENT RATES
Pricing
| Metric | Rate | Unit |
|---|---|---|
| Input | $0.198 | per million tokens |
| Output | $0.594 | per million tokens |
| Provider-reported cached input | $0.0198 | per million tokens |
| Minimum charge | $0.00001 | per request |
Provider-reported cached input tokens use the displayed rate. Every request is recorded in the wallet ledger.
QUICKSTART
Call this model
The same endpoint works from any language.
Send POST /v1/chat/completions with an API key that has inference:invoke. Use meldport/deepseek-v4-pro-0813-ali in the model field. Supply your conversation in messages and set stream: true for streamed output. The published context limit is 1M tokens.
This model publishes tool calling. Send function definitions in tools and return tool results in the conversation. Request fields and output limits · Streaming format · Errors and retry rules
curl https://api.meldport.com/v1/chat/completions \
-H "Authorization: Bearer $MELDPORT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meldport/deepseek-v4-pro-0813-ali",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
import requests
response = requests.post(
"https://api.meldport.com/v1/chat/completions",
headers={
"Authorization": f"Bearer {os.environ['MELDPORT_API_KEY']}",
},
json={
"model": "meldport/deepseek-v4-pro-0813-ali",
"messages": [{"role": "user", "content": "Hello"}],
},
)
print(response.json())const response = await fetch(
"https://api.meldport.com/v1/chat/completions",
{
method: "POST",
headers: {
Authorization: "Bearer " + process.env.MELDPORT_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "meldport/deepseek-v4-pro-0813-ali",
messages: [{ role: "user", content: "Hello" }],
}),
},
);
console.log(await response.json());COMMON QUESTIONS
Frequently asked questions
What is the API model ID for DeepSeek V4 Pro 0813?
Use meldport/deepseek-v4-pro-0813-ali in the model field of your API request.
Which capabilities does DeepSeek V4 Pro 0813 support?
This model currently publishes Text, Cache, Tools support through Meldport.
How is DeepSeek V4 Pro 0813 priced?
Requests are billed per token. Input costs $0.198 per million tokens and output costs $0.594 per million tokens. Provider-reported cached input tokens cost $0.0198 per million tokens; Meldport response caching is bypassed. A minimum charge of $0.00001 applies per request. Charges are deducted from your wallet balance in real time.
Which endpoint runs DeepSeek V4 Pro 0813?
Send a request to POST https://api.meldport.com/v1/chat/completions with your Meldport API key and use meldport/deepseek-v4-pro-0813-ali in the model field.
What context window does DeepSeek V4 Pro 0813 support?
The published context limit is 1M tokens.