GLM-5.3 — Specifications
Zusammengestellt von Mustafa Ihsan aus der Dokumentation des Herstellers · Zuletzt aktualisiert
| Entwickler | Zhipu AI |
|---|---|
| Typ | LLM (Programmierung/Agentik, MoE) |
| Modality | Text → Text |
| Parameter | 744B total / 40B active (MoE) |
| Kontextfenster | 1 Mio. |
| Maximale Ausgabe | 128 K |
| Lizenz | GLM-5.3 License (open weights) |
| Offene Gewichte | Ja |
| Veröffentlicht | 2026-08 |
| Eingabepreis | $1.40 /1M |
| Ausgabepreis | $4.40 /1M |
| API-Anbieter | Zhipu (Z.ai), Alibaba Cloud Model Studio, OpenRouter |
Benchmark-Ergebnisse
| Z.ai-reported | Terminal Bench 3.0 28.3 (GLM-5.2: 4.6); DeepSWE v1.1 66.9 (GLM-5.2: 46.2); CyberGym 84.5 (GLM-5.2: 77.2). Cached input $0.26 per 1M tokens. |
|---|
What is GLM-5.3?
GLM-5.3 is Zhipu AI’s (Z.ai) latest flagship model, released on 18 August 2026. According to Z.ai, it uses the same base model as GLM-5.2, with every improvement coming from post-training: Z.ai reports a 50% gain over GLM-5.2 on its in-house Z.ai Code Bench and much stronger results at finding and exploiting software vulnerabilities, including 84.5% on CyberGym. It is a 744B-parameter mixture-of-experts with 40B active parameters. It takes text only, with a 1M-token context window and up to 128K output tokens, and it always reasons: effort can be set to low, high or max, but reasoning cannot be switched off.
Z.ai’s API charges $1.40 per million input tokens, $0.26 per million cached input tokens and $4.40 per million output tokens, with cache storage free for a limited time, the same price as GLM-5.2. Alibaba Cloud Model Studio also lists it at $1.40 / $4.40, and it is available to subscribers of Z.ai’s GLM Coding Plan. For cheaper work, GLM-5.3-Flash (320B total, 18B active) costs $0.15 in / $0.50 out.
The weights are on Hugging Face in FP8, a download of about 756 GB, under Z.ai’s GLM-5.3 License rather than the MIT licence of GLM 5.2. The licence is permissive, but Model-as-a-Service companies with more than $10 billion in revenue over 12 months must pass a Z.ai security review before commercial use. At the same price, GLM-5.3 is the natural pick over GLM 5.2 for new projects; compare monthly costs with the KI-API-Kostenrechner.
GLM-5.3 pricing: API cost per 1M tokens
| Eingabe (pro 1 Mio. Token) | $1.40 |
|---|---|
| Ausgabe (pro 1 Mio. Token) | $4.40 |
| Verhältnis Output/Input | 3,1× |
| Gemischt (4:1 Input:Output) | $2.00 pro 1 Mio. Tokens |
What GLM-5.3 costs per month
Tatsächliche monatliche Ausgaben bei einem 4:1-Input-zu-Output-Mix – dem Verhältnis, das typische Chat- oder RAG-Arbeitslasten tatsächlich erzeugen.
| Workload | Tokens/Monat | Kosten pro Monat |
|---|---|---|
| Nebenprojekt | 1 Mio. Eingabe / 0,25 Mio. Ausgabe | $2.50 |
| Kleines Team | 20 Mio. Eingabe / 5 Mio. Ausgabe | $50 |
| Produktion | 200 Mio. Eingabe / 50 Mio. Ausgabe | $500 |
Stellen Sie Ihre eigenen Berechnungen im KI-API-Kostenrechner.
Cheaper alternatives to GLM-5.3
| Modell | Gewichteter Preis pro Million US-Dollar | Sie sparen |
|---|---|---|
| Llama 3.1 8B offenere | $0.0240 | 99 % günstiger |
| Mistral NeMo 12B offenere | $0.0292 | 99 % günstiger |
| Gemma 3 4B offenere | $0.0600 | 97% günstiger |
Häufig gestellte Fragen
How much does GLM-5.3 cost per 1M tokens?
GLM-5.3 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $2.00 per 1M tokens.
How much does GLM-5.3 cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $50 on GLM-5.3. A side project (1M in / 0.25M out) costs roughly $2.50.
What is a cheaper alternative to GLM-5.3?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 99% less than GLM-5.3. It is also open-weight, so self-hosting is an option.
Can I run GLM-5.3 locally?
Yes. GLM-5.3 is open-weight and needs about a large amount of VRAM at 4-bit quantisation.
Why does GLM-5.3 charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. GLM-5.3 charges 3.1× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Die Preise entsprechen den offiziell veröffentlichten Listenpreisen für die primäre API des jeweiligen Modells und werden regelmäßig aktualisiert, sobald Anbieter diese ändern. Volumen-, Batch- und Cached-Input-Rabatte sind nicht enthalten. Vergleichen Sie alle Modelle nebeneinander im Datenbank für KI-Modelle oder das LLM-Leaderboard.