Inteligensi
69.0 #184
Tingkat 24% teratas
Kecepatan output
50 t/s
ITL 20.0 ms/tok
Harga gabungan (3:1)
$1.5 /1M
Input $1/M · Output $3/M
Konteks
128K
≈ 320 halaman A4 · output maks 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Glm 4.5 Air
Claude Mythos Preview (#1)
Average (68)
Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.
Kelebihan & Trade-off
Di mana ia menang
- Cheap prompt-cache reads at $0.1/1M
Quickstart Developer & API
Atur
ZAI_API_KEY dulu — dapatkan kunci APIcurl https://api.z.ai/api/paas/v4/chat/completions \
-H "Authorization: Bearer $ZAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "glm-4.5-air",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.z.ai/api/paas/v4",
api_key=os.environ["ZAI_API_KEY"],
)
resp = client.chat.completions.create(
model="glm-4.5-air",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.z.ai/api/paas/v4/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.ZAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "glm-4.5-air",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Sumber Daya & Tautan Resmi
Deployment API
Bandingkan host & latensi
Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Skor per sumber
Skor per kategori
Hasil benchmark
Spesifikasi Live & Arsitektur
Di balik kap
- Prompt caching supported — cached input reads at $0.1/1M tokens.
Tanggal rilis
1 Jan 2024
Parameter
Unknown
Lisensi
Unknown
Jendela konteks
128,000 tokens
Output maks
8,192 tokens
Modalitas
text
Harga cache
baca $0.1 · tulis $1.25 /1M
Penalaran
—
Harga input
$1/M
Harga output
$3/M
Kecepatan output
50 t/s
Waktu ke token pertama
—
Data diperbarui
26 Okt 2026
Estimasi tagihan bulanan
Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…
Kutip & sematkan
Badge Markdown GitHub
Loading badge markdown...BibTeX
@misc{llmpodium2026glm45air,
title = {Benchmark Analysis and Intelligence Evaluation of Glm 4.5 Air},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/glm-4.5-air}
}Sematkan Lencana Skor
Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.
Pratinjau
Markdown
Loading badge snippet...HTML
Loading badge snippet...Lainnya dari Z.ai
Model Alternatif
Alternatif terdekat untuk Glm 4.5 Air berdasarkan kemampuan, harga, dan skor benchmark.