GLM-5.3-Flash — reviews, specs & pricing
320B-A18B hybrid-attention MoE (MIT), first natively multimodal GLM-5 model; ran anonymously on OpenRouter as 'Ox Alpha' before launch.
Summary
GLM-5.3-Flash is a 320B-parameter hybrid-attention Mixture-of-Experts (MoE) model from Zhipu AI, activating just 18B parameters per token for ultra-fast generation. Originally evaluated under the anonymous codename 'Ox Alpha' on OpenRouter, it serves as a lightweight, high-throughput flagship for chat and coding tasks under a permissive MIT license. It bridges the gap between massive frontier model reasoning and practical, low-latency deployment.
Sample use case
Deploying scalable, enterprise-grade developer assistants and multi-tenant code review bots that require low-latency code completion, refactoring, and technical explanations across large codebases without incurring prohibitive commercial API costs.
Specifications
- Provider: zhipu ai
- License: open
- Parameters: 320B
- Context: 1049k tokens
- Input price: $0.15/M tok
- Output price: $0.5/M tok
- Released: 2026-08-26
Pros
- Permissive MIT open-weights license
- High throughput with only 18B active parameters
- Strong conversational and code generation performance
- Efficient hybrid-attention architecture
Cons
- Substantial total VRAM required to host all 320B weights
- Complex deployment and orchestration requirements
- Lower peak reasoning depth than heavy frontier models
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