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Model ComparisonUpdated 2026-09

DeepSeek V4 Pro vs GLM-5.2: Picking Between China's Flagships (2026 Pricing)

Two Chinese flagships, 30% apart on price. GLM-5.2 at $1.173/$4.106, DeepSeek V4 Pro at $1.695/$5.084 — plus time-of-day pricing that changes the math entirely.

TL;DR: **GLM-5.2 is cheaper at $1.173/$4.106** per million tokens; **DeepSeek V4 Pro runs $1.695/$5.084** and uses **time-of-day pricing** — the 00:00-08:00 (Beijing time) window costs roughly half the daytime rate. Blended at a 3:1 input:output ratio: GLM-5.2 ≈ $1.9, DeepSeek V4 Pro ≈ $2.5 daytime and ≈ $1.3 overnight. **The decision is not about which model is 'better' — it is whether your workload can be scheduled.** Real-time traffic during business hours → GLM-5.2. Batch jobs you can cron at night → DeepSeek V4 Pro wins on cost. Both live behind the same key, so this is not an either/or.

How to actually exploit time-of-day pricing

DeepSeek V4 Pro's overnight window (00:00-08:00 Beijing time) is roughly half the daytime rate. That is real money for **anything you can schedule**: bulk document processing, offline data cleaning, nightly report generation, pre-generated content. Cron it after midnight and the cost halves. It does nothing for **live traffic** — users will not wait until 2am to ask a question. So the question is not which model is cheaper, it is whether your work can move in time.

Setting price aside, how do they differ

Their public positioning differs — DeepSeek's line emphasizes reasoning and code, GLM's emphasizes long-context engineering work and Chinese writing. **But in practice the gap on a specific business task is usually smaller than the marketing suggests**, and both ship updates fast enough that today's conclusion may not hold next month. **The only reliable method is an A/B on your own data** — spend $1 each running the same real tasks and compare. Same key, one string change.

Two things that matter more than model choice

① **Context window** — how much you must stuff in drives per-call cost more than the model's headline rate; ② **output length** — output typically prices 3-4× input, so making the model answer briefly saves far more than switching vendors. Adding 'answer directly, no explanation' to a batch prompt routinely cuts 30%+ off the bill.

How to call them

OpenAI-compatible: base_url https://cocodot.co/api/ai/v1, model `glm-5.2` or `deepseek-v4-pro-0813` (the generic name deepseek…pro routes to the current version). Email verification grants $0.5 in trial credit, enough to test either without topping up.

Comparison (cocodot pricing, USD per M tokens)

GLM-5.2DeepSeek V4 Pro
Input / Output$1.173 / $4.106$1.695 / $5.084
Pricing modelflat, all daytime-of-day (overnight ≈ half)
Blended (3:1)~$1.9~$2.5 day / ~$1.3 night
Best forlive traffic, cost-sensitiveschedulable batch work

FAQ

How do these compare to Claude/GPT?

Task-dependent. On Chinese content, routine reasoning and structured output the gap is small at a fraction of the cost; on complex code refactors and long agent chains the flagships still lead. The sensible approach is tiering, not picking one winner.

Do prices change?

Yes — we sync when upstream discounts move. The pricing page is always live and the listed price equals what you are billed.

About cocodot

cocodot is a payment and AI access service for developers and cross-border teams in mainland China. It provides US-BIN virtual cards issued by a licensed institution — used to pay for overseas subscriptions and ad accounts — and an OpenAI-compatible AI API gateway for calling Claude, GPT and Gemini from within mainland China. Both share one wallet, funded by Alipay and accounted in USD. Card: $9.9 to open, 3% to load, 0% on spend, $1 per active card per month.

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DeepSeek V4 Pro vs GLM-5.2: Picking Between China's Flagships (2026 Pricing) · cocodot