Zhipu released GLM-5.3 at noon on August 14 and rolled it out across the entire GLM Coding Plan the same day — every tier can now call it, and legacy GLM-5.2 / GLM-5.1 requests auto-route to GLM-5.3 with no integration changes on your side (source).
Here's the full price comparison: how many credits GLM-5.3 burns in the Coding Plan, how much more than GLM-4.7, how top-up and quota work, where the official entry is, how rate limits hit during peak hours, how big the quarterly/annual discounts are, and whether upgrading is actually worth it.
What GLM-5.3 Actually Ships
In one line: same base model, but post-training pushes coding and agent ability up a big notch. GLM-5.3 reuses the same ~744B MoE base as GLM-5.2 — no new parameters. Everything changed in post-training: tens of times more long-horizon task environments, richer environment types, and significantly longer training (source).
Key official numbers:
| Benchmark | GLM-5.2 | GLM-5.3 | Change |
|---|---|---|---|
| Terminal-Bench 3.0 | 4.6 | 28.3 | ~6× |
| DeepSWE v1.1 | 46.2 | 66.9 | +20.7 |
| Agents' Last Exam | 23.8 | 28.5 | +4.7 |
| CyberGym | 77.2% | 84.5% | +7.3 |
| ExploitBench | 24.4% | 54.4% | >2× |
On Z.ai's internal Code Bench, coding improves roughly 50% over GLM-5.2, with Claude Fable 5 as the stated benchmark target. Note the weights aren't out yet — Z.ai says cybersecurity grew faster than expected, so it's doing about two weeks of safety hardening first, targeting an open release around late August.
Price Comparison: How Many Credits GLM-5.3 Burns
GLM Coding Plan bills by credits, not tokens, so the price comparison centers on credit coefficients. GLM-5.3 is the most expensive of the three available models:
| Model | Input | Cached | Output | vs GLM-4.7 |
|---|---|---|---|---|
| GLM-5.3 | 6.9 | 1.7 | 24 | Output 50% pricier |
| GLM-5-Turbo | 5.7 | 1.5 | 21 | Middle |
| GLM-4.7 | 4.6 | 1.2 | 16 | Baseline |
For the same 1M output tokens, GLM-5.3 costs 24 credits versus GLM-4.7's 16 — a 50% gap. In a real price comparison don't stop at the base coefficient: factor in the 50% off-peak discount and cache hits, since GLM-5.3 cache hits burn at only 1.7 — long chats and fixed system prompts save a lot.
Then put the plan tiers side by side:
| Tier | Monthly | Quarterly (20% off) | Annual (30% off) | 5h credits | Weekly |
|---|---|---|---|---|---|
| Lite | ¥118 | ¥94.4/mo | ¥82.6/mo | 2,000 | 10,000 |
| Pro | ¥538 | ¥430.4/mo | ¥376.6/mo | 12,000 | 60,000 |
| Max | ¥1078 | ¥862.4/mo | ¥754.6/mo | 28,000 | 140,000 |
Team plans are separate: Standard ¥598/seat/mo and Advanced ¥1198/seat/mo, 2 seats minimum, 10% off annual.
Top-Up, Discounts and the Official Entry
For personal plans, top-up is just subscribing — the 20% quarterly and 30% annual discounts are the most concrete deals. The official entry is the GLM Coding product page (https://bigmodel.cn/glm-coding); both personal and team plans start there, with renewal, quota, and tool setup managed in the console.
After subscribing you get a Coding-specific API key, not an Open Platform pay-as-you-go key. When connecting Claude Code, Cursor, Cline and similar tools, configure the Coding-specific base URL (Claude Code uses https://open.bigmodel.cn/api/anthropic). This key and the Zhipu API Open Platform key are two separate systems with independent quota and billing.
Quota, Usage and Rate Limits
Now that quota runs on credits, usage and rate limits shift from "prompt count" to "credits × coefficient". Personal plans have dual 5-hour and weekly quotas; once exhausted, they reset on the next cycle without auto-charging balance. For rate limits, model calls burn at 50% of base credits off-peak, with peak hours Mon–Fri 14:00–18:00 (UTC+8).
Legacy GLM-5.2/5.1 calls auto-route to GLM-5.3 without any action from you. But it does mean: if you budgeted by GLM-4.7 coefficients, the same tokens now consume more credits, so usage climbs faster.
Is GLM-5.3 Worth It Right Now?
If you already subscribe to the Coding Plan, GLM-5.3 is free and on by default; upgrading a tier just for it depends on task complexity. For complex agentic coding, long-horizon engineering and terminal work, GLM-5.3's gains are real (DeepSWE 46.2→66.9, Terminal-Bench 4.6→28.3). For daily Q&A and small-repo iteration, GLM-4.7's half-price coefficient is the cheaper play.
For a broader third-party Coding Plan comparison, DeepSeek has no official flat-monthly plan, Volcengine and Tianyi offer fixed monthly packages, and Kimi is another popular pick. GLM-5.3's value is that it makes the subscription you already pay for stronger — not that it forces a new purchase.
Caveats
- Weights aren't open-sourced yet; Z.ai says about two weeks, pending the official timeline.
- GLM-5.3's standalone API price isn't published — don't switch to pay-as-you-go just yet.
- GLM-5.3's credit coefficient is ~50% higher than GLM-4.7, so high-frequency long-tail calls burn quota faster.