GLM-5.2 vs DeepSeek V4 Pro

What a workload actually costs

For a workload of 1M input plus 1M output tokens at current rates: GLM-5.2 comes to $36.00, DeepSeek V4 Pro comes to $3.94 — DeepSeek V4 Pro is about 89% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; prompt-cache hits bill at the cached-input rate where supported.

Run both through one endpoint

Both models are behind the same OpenAI-compatible endpoint, so an A/B test is a one-string change — same key, same code, and every request traced with tokens, cost, and latency in the dashboard:

curl https://api.router.one/v1/chat/completions \
  -H "Authorization: Bearer sk-your-router-one-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "glm-5.2", "messages": [{"role": "user", "content": "Hello"}]}'

# Same request, other model — change one string:
#   "model": "deepseek-v4-pro"

FAQ

Is GLM-5.2 cheaper than DeepSeek V4 Pro?

At current posted rates, DeepSeek V4 Pro is the cheaper of the two (input $8.00 vs $1.31, output $28.00 vs $2.63 per 1M tokens). Rates change; the /models page is the live source of truth.

Can I switch between GLM-5.2 and DeepSeek V4 Pro without changing code?

Yes. Both are served through the same OpenAI-compatible endpoint, so switching is changing the model string in the request — the key, base URL, and request shape stay identical.

Where do these numbers come from?

Specs and prices on this page render from the live Router One catalog — the same data as the /models page — and refresh with it. Pricing methodology is documented on /pricing-methodology.