GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Pricing
Input 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
Z.AI zai-glm-5.2
Pricing$60$360
Context0
Max output0
Latency0.8S
Throughput107.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Novita novita-glm-5-2
36% offPricing$0.548$0.3507$2.466$1.5782
Pricing$0.822$0.5261$3.014$1.929
Context1M
Max output0
Latency0.8S
Throughput107.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Baidu baidu-glm-5-2
Pricing$0.548$2.466
Pricing$0.822$3.014
Context1M
Max output0
Latency0.8S
Throughput107.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Deepinfra deepinfra-glm-5-2
Pricing$0.548$2.466
Pricing$0.822$3.014
Context1M
Max output0
Latency0.8S
Throughput107.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
StreamLake streamlake-glm-5-2
62% offPricing$0.548$0.2082$2.466$0.9371
Pricing$0.822$0.3124$3.014$1.1453
Context1M
Max output0
Latency0.8S
Throughput107.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% 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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Try this model
Python