Z.ai

GLM-5.3 FlashOpen

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

#282released Aug 1, 2026·Open Weights·Not disclosed
textimage262K ctx
API providersGet API Key →Leaderboard
Intelligence
64.2 #282
AAQI 58.0
Output Speed
182 t/s
TTFT 220 ms · ITL 5.5 ms/tok
Blended price (3:1)
$0.15 /1M
In $0.1/M · Out $0.3/M
Context
262K
≈ 655 A4 pages · max out 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)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • 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

Killer Use Cases

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.

Developer Quickstart & API

Set ZAI_API_KEY first — get an API key
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."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
  • Prompt caching supported — cached input reads at $0.02/1M tokens.
Release date
Aug 1, 2026
Parameters
Not disclosed
License
Open Weights
Context Window
262,000 tokens
Max Output
8,192 tokens
Modalities
text + image
Cache Pricing
read $0.02 · write $0.15 /1M
Reasoning
—
Input Price
$0.1/M
Output Price
$0.3/M
Output Speed
182 t/s
Time to First Token
220 ms
Data Updated
Aug 28, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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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}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

Preview
GLM-5.3 Flash LLMPodium Score
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