GLM 5.3
by Z.ai · z-ai/glm-5.3 · #264 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.91
per 1M tokens
Output
$2.86
per 1M tokens
Blended (3:1)
$1.40
3 input : 1 output
Cache read
$0.169
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GLM 5.3 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.40 | $0.0957 | — |
| 50% | $1.12 | $0.0586 | −39% |
| 90% | $0.897 | $0.029 | −70% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.001313 | $1.31 |
| Document summary | 8,000 | 1,000 | $0.0101 | $10.14 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.033 | $33.02 |
| Long-context analysis | 150,000 | 5,000 | $0.1508 | $150.80 |
Performance
Intelligence Index
44.9
AA composite quality
Coding Index
74.8
Math Index
—
Agentic Index
53.4
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,315 |
| Mobile apps | 1,223 |
| UI components | 1,347 |
| Data viz | 1,273 |
| SVG | 1,321 |
| 3D | 1,389 |
| Game dev | 1,374 |
| HTML slides | 1,189 |
| Python→PPTX slides | 1,258 |
| Code categories | 1,329 |
| ASCII art | 1,245 |
Specs
Context window
1.31M
tokens
Max output
131K
tokens
Input modalities
text
Tokenizer
Other