GLM-5.3-Flash is a high-efficiency multimodal model from Z.AI. It supports a context window of roughly 1 million tokens, along with text, image, and video inputs, and includes tool-calling capabilities. It is primarily designed for coding agents, complex reasoning, and long-horizon software engineering tasks. Built on the existing GLM technology stack, the model has been further post-trained and optimized to deliver strong performance while placing greater emphasis on inference efficiency, responsiveness, and cost.The model is offered at a limited-time 50% discount; users are welcome to try it.
Pricing
- Input Tokens: $0.1127 /M tokens
- Output Tokens: $0.3944 /M tokens
- Cache Read: $0.0282 /M tokens
Input Modalities
- Text
- Vision
- Video
Output Modalities
- Text
Context length
- 1.05M tokens
Max output
- 131K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Z.AI zai-glm-5.3-flash
50% offPricing$0.1127$0.0563$0.3944$0.1972
Cache$0.0282$0.0141
Context1M
Max output128K
Latency4.3S
Throughput91.6TPS
Uptime
99.99% uptime 2 days ago
99.93% uptime yesterday
99.82% uptime today
Wafer wafer-glm-5.3-flash
Pricing$0.14$0.4666
Cache$0.035
Context1M
Max output128K
Latency2.8S
Throughput24.6TPS
Uptime
99.98% uptime 2 days ago
99.97% uptime yesterday
100.00% uptime today
Performance for glm-5.3-flash
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Try this model
Python

