Routing note
The model IDs deepseek-ai/deepseek-v4-flash and deepseek-ai/deepseek-v4-pro do not reach those models today. Requests for them are answered by a default Llama model instead, because we do not route those providers yet, and the reply still shows the ID you asked for. We are fixing this. Until then the free IDs under meta/, mistralai/ and nvidia/ on the models page do reach the model they name.
DeepSeek V4 is one of the strongest open-weight model families for reasoning, coding, and agentic work — and through InferAll you can call it free via NVIDIA NIM. Both tiers are available: deepseek-ai/deepseek-v4-pro for maximum capability and deepseek-ai/deepseek-v4-flash for cost-efficient, lower-latency work. No credit card, $0 within the free tier, and it works with the OpenAI SDK you already have.
| Model | Best for |
|---|---|
deepseek-ai/deepseek-v4-pro |
Maximum reasoning, coding, agentic tasks |
deepseek-ai/deepseek-v4-flash |
Cost-efficient, lower-latency, high-volume |
Both are $0 on the free NVIDIA NIM tier.
Quick start (Python)
from openai import OpenAI
client = OpenAI(
base_url="https://api.inferall.ai/v1",
api_key="ifu_your_key_here", # get one at inferall.ai/keys — no card required
)
# Flash — fast, cost-efficient, great default
response = client.chat.completions.create(
model="deepseek-ai/deepseek-v4-flash",
messages=[{"role": "user", "content": "Refactor this function for readability: ..."}],
max_tokens=512,
)
# Pro — for the hardest reasoning / agentic tasks
response = client.chat.completions.create(
model="deepseek-ai/deepseek-v4-pro",
messages=[{"role": "user", "content": "Design a rate limiter with a sliding window. Explain the tradeoffs."}],
max_tokens=1024,
)
print(response.choices[0].message.content)
The only change from calling OpenAI directly is the base_url. Your existing code, streaming, and tool use all work unchanged.
TypeScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.inferall.ai/v1",
apiKey: process.env.INFERALL_API_KEY,
});
const response = await client.chat.completions.create({
model: "deepseek-ai/deepseek-v4-flash",
messages: [{ role: "user", content: "Write a SQL migration to add a nullable column." }],
max_tokens: 400,
});
console.log(response.choices[0].message.content);
Why call DeepSeek V4 through InferAll
It's genuinely $0 in / $0 out. DeepSeek V4 runs on NVIDIA NIM (NVIDIA Inference Microservices) on their DGX Cloud infrastructure, which InferAll exposes at $0. No inference cost to pass through, so it stays $0 per call within the free-plan daily request caps (50 chat / 100 text / day, reset 00:00 UTC) — activate via the $5 starter pack at /billing.
One key for DeepSeek and everything else. The same ifu_... key also calls Qwen 3.5, GLM-5.1, Kimi K2.6, Llama 3.1/3.3 70B, and 40+ more free open models — plus paid GPT-4.1, Claude Opus 4, and Gemini 2.5 when you need a frontier model. Switch by changing one string; no juggling provider keys.
OpenAI-compatible. Standard chat.completion responses, streaming, tool use, and JSON mode — all working with whatever OpenAI client you already have. Moving from gpt-4o-mini to deepseek-ai/deepseek-v4-flash is a one-line model-string change.
Pro vs Flash — which to use
Start with Flash. It handles the majority of coding, refactoring, summarization, and structured-output tasks at lower latency, and it's free. Step up to Pro when you hit a genuinely hard reasoning or multi-step agentic problem where you can feel Flash struggling. Since both are $0 on the free tier, the only real cost of using Pro is latency — so use Flash by default and reserve Pro for the hard cases.
Compare it yourself
The best way to pick a model is to watch several answer the same prompt. The full free roster is one call away — curl https://api.inferall.ai/ai/v1/models — so you never hardcode a list that goes stale.
Sign up at inferall.ai/keys, then activate via the $5 starter pack at /billing — 25 free NIM calls come before any payment; the $5 becomes spendable balance for premium providers and unlocks ongoing access to the 40+ NIM open models at $0 in/out (within the free-plan daily request caps).