GLM-4.7 (Reasoning)
AI model by ZAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. GLM-4.7 (Reasoning) is a budget-tier option from ZAI at $2.20/M output tokens. Despite the low price, it scores competitively on Coding Index (45.3) and Intelligence Index (34.5) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, GLM-4.7 (Reasoning) reports 101 tok/s output speed and 1220ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, GLM-4.7 (Reasoning) costs $0.82 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 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
GLM-4.7 (Reasoning)Current | $0.60 | $2.20 | 101 tok/s |
| MiniMax M1 80k | $0.55 | $2.20 | — |
| Qwen3.6 35B A3B (Non-reasoning) | $0.38 | $2.25 | 137 tok/s |
| Qwen3.6 35B A3B (Reasoning) | $0.38 | $2.25 | 119 tok/s |
| Qwen3 Coder 30B A3B Instruct | $0.45 | $2.25 | 91 tok/s |
| Kimi K2 | $0.57 | $2.30 | 41 tok/s |