Chinese LLMs cost 4–8 less than GPT-5. Here is the real price table

I run a small OpenAI-compatible gateway that fronts Chinese model providers, which means I see wholesale prices every day. The gap to Western frontier models is bigger than most people assume — and the reason more teams have not switched is not price. It is signup.

Here are the actual numbers, plus the part nobody writes about.

The price table (USD per 1M tokens)

Western frontier models, current public list prices:

Chinese models, as sold through the gateway (retail, i.e. wholesale cost + a flat 30% margin — the formula is published, not hidden):

For reference, the same Chinese models bought direct from their own consoles list at roughly the same wholesale rate — the gateway is not marking them up into oblivion. Zhipu lists GLM-5.3 at $1.40 / $4.40, Alibaba lists Qwen3.8-Flash at $0.16 / $0.47.

What that means on a real bill

Say your product pushes 20M input tokens and 5M output tokens per month. Not a huge app — a small coding assistant, a support bot, a summariser.

• On GPT-5: 20 × $1.25 + 5 × $10.00 = $75.00 / month
• On Qwen3.7-Flash-class models: roughly $4–7 / month

That is the difference between an API bill that eats your margin and one that does not. For an indie product doing a few thousand requests a day, it is often the difference between the side project being viable and not.

When you should NOT switch

Being straight, because it matters more than the price table:

• Complex codegen and long-horizon agent loops still favour the frontier models. If your agent has to hold a plan together across 40 tool calls, GPT-5/Claude class reasoning is worth the money.
• Anything with hard accuracy requirements (medical, legal, financial advice) — cheap models fail in ways that cost more than the tokens saved.
• Very long context with strict recall. Some Chinese models have 1M windows, but window size is not the same as retrieval quality.

The honest framing: use Chinese models for high-volume, well-scoped work (classification, extraction, summarisation, chat drafts, batch enrichment) and keep the frontier model for the hard 10%.

The part nobody writes about: you cannot sign up

The prices above are public on Chinese provider consoles. The problem is that the consoles are not reachable for most developers outside mainland China:

• Zhipu (GLM) — requires a mainland phone number and Alipay/WeChat Pay
• Alibaba (DashScope / Qwen) — same: mainland identity, RMB payment
• Tencent (Hunyuan) — same
• ByteDance (Volcano / Doubao) — same, and enterprise-account oriented

Some of them accept international cards on an "international" console, but the model line-up and the rate limits differ from the mainland one, and several models never appear there at all.

So the real barrier is not cost. It is that the cheapest tier of capable models is behind a registration wall that a developer in the US, EU or Brazil cannot pass. That is the entire reason gateways like the one I run exist: one OpenAI-compatible endpoint, one key, international card or USDT, no mainland phone.

How you would actually switch

If you already use the OpenAI SDK, it is a base URL change — nothing else:

from openai import OpenAI

client = OpenAI(
    base_url="https://tidelink.xyz/v1",
    api_key="YOUR_KEY",
)

resp = client.chat.completions.create(
    model="glm-5.3-flash",
    messages=[{"role": "user", "content": "Summarise this support ticket..."}],
)

Swap model to move between GLM, Qwen, DeepSeek, Hunyuan and Doubao without touching the rest of your code. That matters more than it sounds: it lets you A/B a Chinese model against your current one on real traffic before committing, rather than rewriting your stack.

Trying it before paying

There is a free tier with no card required — glm-4.7-flash and glm-4.6v-flash are free, rate-limited to 5 requests/minute. That is enough to run a real evaluation on your own prompts and measure quality against whatever you use now, which is the only benchmark that matters.

Get a key: https://tidelink.xyz/dashboard.html?cid=devto-costtable

If you already have Chinese provider accounts of your own, you can also bring them (BYOK) and pay a flat platform fee instead of retail token rates.

Prices checked September 2026 against provider public pricing pages. Rates change often, and Chinese providers run promotions (GLM-5.3-Flash has been listed as low as $0.075/$0.25). Verify before you commit a budget.