GLM-5.3

Zhipu AI · rilasciato il 18 ago 2026

Zhipu AI GLM-5.3 model with 1.0M context window, optimized for advanced reasoning and multimodal tasks.

text1.0M ctx753 billion
65.0
Podium Score
#206 di 693
Intelligence Rank
65.0#206
AAQI: 30.0
Output Speed
90 t/s
TTFT: ~1.57s · ITL: 11.1 ms/tok
Blended Price (3:1)
$2.15 /1M
In: $1.4/M · Out: $4.4/M · Cache: $0.14
Context Capacity
1.0M
≈ 2,500 A4 Pages (Max Out: 16384)

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

GLM-5.3
Claude Mythos Preview (#1)
Average (68)
Coding (63)Mathematics (39)Hard Science (GPQA) (45)Agentic & Tool Use (36)Instruction Following (67)Vision / Multimodal (25)
API Deployment

Compare Multi-Host Hosting & Latency

Benchmark inference speed, TTFT latency distributions, and prompt cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, AWS Bedrock, and Azure.

View API Providers Matrix →

Punteggi per Fonte

Punteggi per Categoria

Risultati dei Benchmark

Dettagli del Modello

Data di Rilascio18 ago 2026
Parametri753 billion
LicenzaProprietary
Finestra di Contesto1,000,000 tokens
Prezzo Ingresso$1.4/M
Prezzo Uscita$4.4/M
Velocità Uscita90 t/s
Tempo al Primo Token2 ms

💰 Estimated Monthly Bill & TCO Calculator

Estimated Monthly Spend
$0.00
Calculating savings vs GPT-4o...

🔖 Embed Badges & Citation Snippet

GitHub Markdown Badge
[![LLMPodium Rank](https://llmpodium.com/badge/glm-5-3/rank.svg)](https://llmpodium.com/models/glm-5-3)
BibTeX Citation
@misc{llmpodium2026glm53,
  title = {Benchmark Analysis and Intelligence Evaluation of GLM-5.3},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/glm-5-3}
}

Testa a testa

Migliori modelli

model.alternatives_title

model.alternatives_desc

0 / 4 Models Selected