Z.ai

Glm 4.5 Air

Glm 4.5 Air AI model by Z.AI.

#184released Jan 1, 2024·Unknown·Unknown
text128K ctx
API providersGet API Key →Leaderboard
Intelligence
69.0 #184
Top 24% tier
Output Speed
50 t/s
ITL 20.0 ms/tok
Blended price (3:1)
$1.5 /1M
In $1/M · Out $3/M
Context
128K
≈ 320 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Glm 4.5 Air
Claude Mythos Preview (#1)
Average (68)
Coding (67)Mathematics (65)Hard Science (GPQA) (66)Agentic & Tool Use (67)Knowledge (MMLU) (69)Vision / Multimodal (25)

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

Strengths & Trade-offs

Where it wins

  • Cheap prompt-cache reads at $0.1/1M

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-4.5-air",
    "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

Category Scores

Benchmark Results

Live Specs & Architecture

Under the hood
  • Prompt caching supported — cached input reads at $0.1/1M tokens.
Release date
Jan 1, 2024
Parameters
Unknown
License
Unknown
Context Window
128,000 tokens
Max Output
8,192 tokens
Modalities
text
Cache Pricing
read $0.1 · write $1.25 /1M
Reasoning
—
Input Price
$1/M
Output Price
$3/M
Output Speed
50 t/s
Time to First Token
—
Data Updated
Oct 26, 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{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}
}

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 4.5 Air LLMPodium Score
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