GLM-5.2 (Non-reasoning)
AI model by ZAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. GLM-5.2 (Non-reasoning) is positioned in the mid-tier at $4.40/M output tokens. The benchmark profile is balanced — strongest on Coding Index (46.5) — making it a default choice for teams that need general-purpose reasoning without paying frontier-model prices.
Latency. On latency, GLM-5.2 (Non-reasoning) reports 100 tok/s output speed and 2050ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, GLM-5.2 (Non-reasoning) costs $1.84 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-09-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
GLM-5.2 (Non-reasoning)Current | $1.40 | $4.40 | 100 tok/s |
| o3-mini (high) | $1.10 | $4.40 | 237 tok/s |
| o3-mini | $1.10 | $4.40 | 203 tok/s |
| o4-mini (high) | $1.10 | $4.40 | 145 tok/s |
| GPT-5.4 mini (medium) | $0.75 | $4.50 | 180 tok/s |
| GPT-5.4 mini (Non-Reasoning) | $0.75 | $4.50 | 155 tok/s |