Z.AI
Ultra-low latency version of GLM-5.3-Flash engineered for high-concurrency real-time IDE code completion and interactive agents.
200K ctx$0.37 / 1M tok (Ultra-Low Latency MoE)
Introducing GLM-5.3-FlashZ.AIReleased August 26, 2026
GLM-5.3-Flash
The first native multimodal model in the GLM-5 series: 320B parameters (18B active) combining linear and sparse attention for low-cost visual coding.
multimodal-realtimeProprietary API$0.15 / 1M tok (320B MoE Visual Coding)Context: 200K (200,000 tokens)Arena ELO: 1470
Technical Specifications
Architecture Type
Hybrid Sparse + Linear Attention MoE
Total Parameters
320B
Active Parameters (MoE)
18B
Context Window
200K (200,000 tokens)
Max Output Tokens
64K (64,000 tokens)
Knowledge Cutoff
July 2026
Supported Modalities
text, code, vision, reasoning
License & Access
Z.AI Terms of Service
Benchmark Evaluations
Mmbench
88.6
Mmlu Pro
86.4
Humaneval
94.8
Swe Bench Verified
75.8
Chatbot Arena ELO
1470
Deep Architectural Overview
GLM-5.3-Flash weaves visual perception directly into the software development loop. It observes rendered web interfaces, browser developer tools, and interaction feedback to autonomously test and refine full-stack apps at just $0.15/$0.50 per million tokens.
Strengths & Considerations
Core Strengths
- Hybrid linear + sparse attention cuts KV cache by 4.44x
- Native visual coding: observes UI renders and browser feedback
- Extremely economical at $0.15 input / $0.03 cache reads
Known Limitations
- 200k context window compared to 1M context on GLM-5.3
Token & API Pricing
Input Tokens (1M)$0.15
Output Tokens (1M)$0.50
Cached Input (1M)$0.0300
Pricing is verified directly against Z.AI's developer documentation and API rate sheets.
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