Z.ai

GLM-5.3 FlashTerbuka

High-speed, low-cost GLM 5.3 Flash model by Z.ai with 180+ tokens/sec throughput.

#282dirilis 1 Agu 2026·Open Weights·Not disclosed
textimage262K ctx
Penyedia APIDapatkan Kunci API →Peringkat
Inteligensi
64.2 #282
AAQI 58.0
Kecepatan output
182 t/s
TTFT 220 ms · ITL 5.5 ms/tok
Harga gabungan (3:1)
$0.15 /1M
Input $0.1/M · Output $0.3/M
Konteks
262K
≈ 655 halaman A4 · output maks 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

GLM-5.3 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (58.4)Mathematics (64)Hard Science (GPQA) (62.5)Agentic & Tool Use (61)Knowledge (MMLU) (60.5)Vision / Multimodal (55)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 182 tok/s output — fast enough for real-time agents
  • Sub-400ms time-to-first-token
  • Very low blended price — $0.15/1M mixed tokens

Kasus Penggunaan Killer

Real-time agents
Low-latency loops for voice, gaming and interactive copilots.
High-volume batch jobs
Classification, extraction and summarization at minimal cost per call.
SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.

Quickstart Developer & API

Atur ZAI_API_KEY dulu — dapatkan kunci API
curl https://api.z.ai/api/paas/v4/chat/completions \
  -H "Authorization: Bearer $ZAI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "glm-5-3-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

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
Lihat matriks penyedia →

Skor per sumber

Spesifikasi Live & Arsitektur

Di balik kap
  • Prompt caching supported — cached input reads at $0.02/1M tokens.
Tanggal rilis
1 Agu 2026
Parameter
Not disclosed
Lisensi
Open Weights
Jendela konteks
262,000 tokens
Output maks
8,192 tokens
Modalitas
text + image
Harga cache
baca $0.02 · tulis $0.15 /1M
Penalaran
—
Harga input
$0.1/M
Harga output
$0.3/M
Kecepatan output
182 t/s
Waktu ke token pertama
220 ms
Data diperbarui
28 Agu 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
Loading badge markdown...
BibTeX
@misc{llmpodium2026glm53flash,
  title = {Benchmark Analysis and Intelligence Evaluation of GLM-5.3 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/glm-5-3-flash}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
GLM-5.3 Flash LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

Lainnya dari Z.ai

Model Alternatif

Alternatif terdekat untuk GLM-5.3 Flash berdasarkan kemampuan, harga, dan skor benchmark.

0 / 4