Pricing
The model is available through multiple vendor channels; deepinfra supports input caching, with a cache-hit fee of $0.176/M. sophnet and baidu channels use tiered pricing. sophnet-glm-5 pricing: input <32k: $0.548→$2.466; input <64k: $0.822→$3.836; input >64k: $1.096→$4.384. baidu-glm-5 pricing: input <32k: $0.548→$2.466; input >32k: $0.822→$3.014;alicloud-glm-5 pricing: input <32k: $0.563 → $2.535, cache hit fee $0.113/M; input >32k: $0.845 → $3.098, cache hit fee $0.169/M.
Input Modalities
- Text
Output Modalities
- Text
Context length
- 200K 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
Performance for glm-5
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).

