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." }]
});DeepSeek is a family of reasoning-first language models. deepseek-flash is the fast, low-cost tier with an optional thinking mode; deepseek-v4-pro targets the hardest reasoning and agentic workloads; deepseek-v4-flash-vision-exp is the experimental vision variant for image input. All three are available through RunAPI with one key and per-token billing.
| 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. The older names deepseek-v4-flash and deepseek-v4-flash-vision-exp are still accepted; those retired model names are served by DeepSeek-V4.1-Flash and billed at the Flash price.
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 fast everyday work and deepseek-v4-pro for more complex reasoning and agentic workflows; use deepseek-v4-flash-vision-exp for image input.