Free DeepSeek API
DeepSeek V3, R1 and V4 served free across multiple providers — no DeepSeek account or card needed.
FreeLLMAPI is a free, open-source LLM API that routes across every provider with a real free tier. The DeepSeek models below are served free by Cloudflare Workers AI, NVIDIA NIM, OpenCode Zen — reachable through one OpenAI-compatible key, with automatic failover when a provider hits its rate limit.
Free DeepSeek models (4)
| Model | Provider | Context | Free limits | Capabilities |
|---|---|---|---|---|
| deepseek-ai/deepseek-v4-pro | NVIDIA NIM | 131K | 40 rpm | tools |
| deepseek-ai/deepseek-v4-flash | NVIDIA NIM | 131K | 40 rpm | tools |
| deepseek-v4-flash-free | OpenCode Zen | 131K | 20 rpm, 200 rpd | tools |
| @cf/deepseek-ai/deepseek-r1-distill-qwen-32b | Cloudflare Workers AI | 131K | ~3-5M | tools |
How to use DeepSeek for free
- Install FreeLLMAPI — the open-source router (GitHub). It runs locally and keeps your keys on your machine.
- Add a free key for Cloudflare Workers AI (or any listed provider) on the Keys page — no credit card required.
- Point your OpenAI client at the local endpoint and pick a model:
from openai import OpenAI
# FreeLLMAPI runs locally; grab your unified key + endpoint on the Keys page.
client = OpenAI(base_url="http://localhost:3001/v1", api_key="freellmapi-...")
resp = client.chat.completions.create(
model="deepseek-ai/deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ
Is the DeepSeek API really free?
Yes — these DeepSeek models run on genuine provider free tiers (served free by Cloudflare Workers AI, NVIDIA NIM, OpenCode Zen). Inference costs nothing; you only add a free provider key.
Do I need a credit card?
No. The providers here offer free tiers that work without a card. You add the free key once and FreeLLMAPI routes to it.
How do I call DeepSeek through FreeLLMAPI?
Install the open-source router, add the provider's free key on the Keys page, then point any OpenAI SDK at your local endpoint — see the code sample above.