GLM-5.2 vs DeepSeek V4 Pro
DeepSeek V4 Pro is lower on a 1M-input + 1M-output mix (about 27% less), but GLM-5.2 has the lower input rate — real workloads skew toward input. Both carry a 1M context window. GLM-5.2 answers on /v1/chat/completions; DeepSeek V4 Pro on /v1/chat/completions, /v1/messages (Claude Code) and /v1/responses (Codex CLI).
GLM-5.2 and DeepSeek V4 Pro compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.
GLM-5.2 vs DeepSeek V4 Pro: rates, context window, and capabilities
| Spec | GLM-5.2 | DeepSeek V4 Pro |
|---|---|---|
| Input / 1M tokens | $2.40 | $2.63 |
| Output / 1M tokens | $8.40 | $5.26 |
| Cached input / 1M tokens | $0.60 | $2.63 |
| Context window | 1M | 1M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling |
| Detail page | GLM-5.2 | DeepSeek V4 Pro |
What does 1M tokens cost on GLM-5.2 vs DeepSeek V4 Pro?
For a workload of 1M input plus 1M output tokens at current rates: GLM-5.2 comes to $10.80, DeepSeek V4 Pro comes to $7.89 — DeepSeek V4 Pro is about 27% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; the cached-input row above is the posted catalog rate for that model.
Switch between GLM-5.2 and DeepSeek V4 Pro without changing code
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 $2.40 vs $2.63, output $8.40 vs $5.26 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. Rates on this page were read from the live catalog on 2026-08-30 (UTC) and refresh within the hour.