Model Details
Where is GLM-5.3 a perfect fit?
- Autonomous software engineering agents
- Repository-scale coding and codebase maintenance
- Long-running terminal/CLI agents
- Cybersecurity vulnerability research and defensive analysis
- Complex multi-step technical tasks
- Agentic coding with tool use
- Long-context code and documentation analysis
- Self-hosted frontier-model deployments
GLM-5.3 is essentially a heavily post-trained GLM-5.2, optimized to turn a strong open-weight foundation into a much more capable coding and autonomous-agent model. Its standout combination is 1M context + open weights + frontier-level coding/agentic performance. Z.ai describes GLM-5.3 as its most capable open-weights model for coding, reporting a roughly 50% improvement over GLM-5.2 on its internal Code Bench.
Quick Model Estimate
Your GLM-5.3 Cost Estimate
๐ฐ Total Cost
โ
for 1000 input + 1000 output tokens
Cost Breakdown
Prices updated daily from official provider data.
Pricing
|
Provider
โ
|
Modality
โ
|
Service Tier
โ
|
Input Price
(per 1M tokens) โ |
Output Price
(per 1M tokens) โ |
Cached Input
(per 1M tokens) โ |
Context Size
โ
|
View
|
|---|---|---|---|---|---|---|---|
Perplexity | Text | Standard | $1.4000 | $4.4000 | $0.2600 | 1,000,000 tokens | โ |
Benchmarks
Scores from standardized evaluations by Artificial Analysis and Design Arena. Higher is better โ the indices summarize overall ability, while the detailed scores break down performance on individual benchmarks.
Artificial Analysis
Higher is better ยท benchmarked by Artificial AnalysisGraduate-level questions in biology, chemistry & physics
Expert-level questions across many academic domains
Unpublished physics research reasoning problems
Long-context reasoning across large inputs
Research-level scientific coding tasks
Economically valuable, real-world knowledge work
Breadth of factual knowledge across domains
How reliably the model avoids fabricated answers
Design Arena
Elo rating by arena & category| Variant | Arena | Category | Elo | Win % | Percentile | Avg time (ms) |
|---|---|---|---|---|---|---|
| glm-5.3 | agents | htmlslides | 1,189 | 39.1% | 61 | โ |
| glm-5.3 | agents | mobileapps | 1,229 | 54.4% | 69 | โ |
| glm-5.3 | agents | python-pptxslides | 1,259 | 51.6% | 81 | โ |
| cortado | models | 3d | 1,393 | 67.8% | 97 | 537,132 |
| cortado | models | codecategories | 1,330 | 57.7% | 96 | 407,296 |
| cortado | models | dataviz | 1,262 | 51% | 80 | 375,944 |
| cortado | models | gamedev | 1,376 | 64.1% | 98 | 580,150 |
| cortado | models | svg | 1,325 | 59.8% | 95 | 244,308 |
| cortado | models | uicomponent | 1,344 | 59.5% | 96 | 359,679 |
| cortado | models | website | 1,317 | 55.8% | 95 | 369,976 |
FAQs about GLM-5.3
How much does GLM-5.3 cost per 1M tokens?
GLM-5.3 costs $1.40 per million input tokens, and $4.40 per million output tokens.
What does a typical workload cost with GLM-5.3?
1,000 requests of 2,000 input and 500 output tokens each โ 2,000,000 input and 500,000 output tokens in total โ costs $5.00 with GLM-5.3 at its lowest rates. Use the calculator on this page for your own volumes.
Where can I use GLM-5.3?
GLM-5.3 is available through Perplexity, from $1.40 per million input tokens.
What is GLM-5.3's context window?
GLM-5.3 has a context window of 1,000,000 tokens, and returns up to 128,000 tokens in a single response.
What input types does GLM-5.3 support?
GLM-5.3 accepts text input, and returns text.
