GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Pricing
- Input Tokens: $1.127 /M tokens
- Output Tokens: $3.944 /M tokens
- Cache Read: $0.282 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Context length
- 1M 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
Baidu baidu-glm-5.2
50% off·14:00–23:59 UTCPricing$1.127$0.563$3.944$1.972
Cache$0.282$0.141
Context1M
Max output128K
Latency11.9S
Throughput30.0TPS
Uptime
100.00% uptime 2 days ago
99.85% uptime yesterday
100.00% uptime today
Alibaba Cloud alicloud-glm-5.2
30% off·00:00–23:59 UTCPricing$1.127$0.789$3.944$2.761
Cache$0.282$0.197
Context1M
Max output128K
Latency4.0S
Throughput42.5TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Z.AI zai-glm-5.2
Pricing$1.127$3.944
Cache$0.282
Context1M
Max output128K
Latency2.1S
Throughput8.8TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Tencent tencent-glm-5.2
Pricing$1.238$4.333
Cache$0.309
Context1M
Max output128K
Latency1.8S
Throughput8.1TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Deepinfra deepinfra-glm-5.2
Pricing$1.045$3.300
Cache$0.198
Context1M
Max output128K
Latency0.8S
Throughput36.0TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Performance for glm-5.2
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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Latency
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Throughput
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Try this model
Python
