Use the DeepSeek API via RunAPI with a model skill, unified auth, and pay-as-you-go pricing.
# Base URL
https://runapi.ai
# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/{model}:generateContent
POST /v1beta/models/{model}:streamGenerateContent
curl https://runapi.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash-vision-exp",
"messages": [
{
"role": "user",
"content": "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."
}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://runapi.ai/v1",
api_key="your-runapi-key"
)
response = client.chat.completions.create(
model="deepseek-v4-flash-vision-exp",
messages=[{"role": "user", "content": "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://runapi.ai/v1",
apiKey: "your-runapi-key"
});
const response = await client.chat.completions.create({
model: "deepseek-v4-flash-vision-exp",
messages: [{ role: "user", content: "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases." }]
});Use deepseek-flash for everyday work and deepseek-v4-pro for complex reasoning. DeepSeek documents the official direct API as DeepSeek-V4.1-Flash-1017, updated on 2026-10-17. Third-party channels may use older versions; their 1017 status is unverified. DeepSeek officially lists image input, a 1M-token context and up to 384K output tokens for V4.1 Flash. On RunAPI, use deepseek-flash; image input and these context and output limits have not been tested across all channels.
| Endpoint | Protocol |
|---|---|
POST /v1/chat/completions | OpenAI compatible |
POST /v1/responses | OpenAI Responses |
POST /v1/messages | Anthropic compatible |
POST /v1beta/models/{model}:generateContent | Gemini generateContent |
POST /v1beta/models/{model}:streamGenerateContent | Gemini streamGenerateContent |
| Variant | Billing | Pricing | |
|---|---|---|---|
| deepseek-flash | 1K tokens | Input $0.30 / 1M tokens | Output $1.20 / 1M tokens | View → |
| deepseek-v4-flash | 1K tokens | Input $0.30 / 1M tokens | Output $1.20 / 1M tokens | View → |
| deepseek-v4-flash-vision-exp | 1K tokens | Input $0.30 / 1M tokens | Output $1.20 / 1M tokens | View → |
| deepseek-v4-pro | 1K tokens | Input $1.32 / 1M tokens | Output $3.96 / 1M tokens | View → |
| Endpoint | Resolution | Duration | Price | |
|---|---|---|---|---|
| chat_completion | — | — | Input $0.30 / 1M tokens | Output $1.20 / 1M tokens | |
| message | — | — | Input $0.30 / 1M tokens | Output $1.20 / 1M tokens |
Prices shown for deepseek-flash. Other variants retain their own endpoint pricing.
Sign up and generate an API key from the dashboard.
Choose the version that best matches your quality and cost requirements.
Submit your prompt and parameters to the model's documented endpoint.
Poll the task or set a webhook, then download the completed output.
DeepSeek models are large language models tuned for reasoning, code, and agentic tool use. Through RunAPI they share a single API key with pay-as-you-go token billing, and are callable from both the OpenAI and Anthropic SDKs.
A single RunAPI API key unlocks the whole model catalog across all providers. No separate accounts to create, no API keys to rotate per integration, and no credential management overhead. Add a new model to your app by changing one parameter.
Per-call pricing in USD, billed monthly into a single invoice. No subscription tiers, no minimum spend, and failed generations are never charged. The pricing page and check_pricing API show exact costs before you commit to a model.
Typed schemas, parameter constraints, and setup notes are packaged in the model skill so your implementation starts from the right contract. The skill loads into Claude Code, Codex, Gemini CLI, Cursor, and VS Code — your agent knows the correct request shape before you write a line of code.
Use deepseek-flash for new code. DeepSeek documents that its official direct API serves the retired names deepseek-v4-flash and deepseek-v4-flash-vision-exp with DeepSeek-V4.1-Flash-1017 at the Flash price. Third-party mappings to 1017 remain unconfirmed.
Flash is the fast, low-cost tier for everyday tasks; pro targets the most complex reasoning and long agentic workflows at a higher token price.
Thinking is a request parameter on deepseek-flash, not a separate model — set it per request when you want step-by-step reasoning.
Yes. DeepSeek is available on both the OpenAI Chat Completions and the Anthropic Messages surfaces; point either SDK at RunAPI and pass the deepseek model id.
Cached prompt tokens bill at a much lower cache-read rate than fresh input tokens; cache hits are detected automatically and reflected in usage.
Use deepseek-flash for everyday work and deepseek-v4-pro for complex reasoning. DeepSeek documents the official direct API as DeepSeek-V4.1-Flash-1017, updated on 2026-10-17. Third-party channels may use older versions; their 1017 status is unverified. DeepSeek officially lists image input, a 1M-token context and up to 384K output tokens for V4.1 Flash. On RunAPI, use deepseek-flash; image input and these context and output limits have not been tested across all channels.