OpenAI-compatible · Full-precision DeepSeek models

The DeepSeek API,
20% cheaper.

A drop-in inference API for DeepSeek's models at 80% of list rate — served at full precision, never quantized, so accuracy is identical to DeepSeek. Change one line — your base URL — and keep all your existing code.

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✓ Full-precision weights ✓ No quantization ✓ Identical model accuracy

Base URL https://walzone.com/v1

No quantization

Full precision. Identical accuracy.

Many discount API providers quietly run quantized models (INT8/INT4) to cut their costs — which degrades reasoning, math, and code quality. Walzone does not. We serve full-precision models, unmodified, so you get the model exactly as intended — same accuracy, just at a lower price.

Full precision

Original BF16/FP8 weights — no INT8/INT4 down-casting.

Same outputs

Identical model, identical decoding — accuracy on par with DeepSeek.

No silent swaps

We never substitute a smaller or distilled model behind the scenes.

Same models. Lower price.

The DeepSeek models you already rely on — same accuracy, 20% off every token.

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20% off, always

Every model billed at 80% of DeepSeek's published per-token price, with cheaper cached-input tokens just like upstream.

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Drop-in compatible

Works with the OpenAI & DeepSeek SDKs. Set base_url to https://walzone.com/v1 — streaming included.

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Full model lineup

deepseek-chat, deepseek-reasoner, and deepseek-v4-pro — the same capabilities you already use.

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Self-serve & prepaid

Create an account, top up with PayPal, mint and revoke keys, and watch usage live. No commitments, no subscription.

Pricing

USD per 1M tokens — always 20% below DeepSeek's list price.

Model	Input	Cached input	Output
deepseek-chat / reasoner	$0.112	$0.0022	$0.224
deepseek-v4-pro	$0.348	$0.0029	$0.696

Metered to the exact token. Live rates are shown in your dashboard.

Start in 30 seconds

Any OpenAI-compatible client works. Here's Python:

# pip install openai from openai import OpenAI client = OpenAI( api_key="YOUR_WALZONE_KEY", base_url="https://walzone.com/v1", ) resp = client.chat.completions.create( model="deepseek-chat", messages=[{"role": "user", "content": "Hello!"}], ) print(resp.choices[0].message.content)

The DeepSeek API,20% cheaper.