THE TICKER · HEAD-TO-HEAD · CHECKED DAILY · LAST CHANGE 2026-10-13
GPT-5.6 CYBER VS GLM 5.3
OpenAI vs Z.ai, in USD per million tokens, cross-checked daily against the public pricing dataset. Same jobs, both meters running.
THE VERDICT
16.3x
GPT-5.6 Cyber costs 16.3x more than GLM 5.3 for the same job — a 1,000-token prompt with a 3,000-token reply runs $0.24 vs $0.01. At 1,000 runs a day, that gap is $6,687.00 a month for identical traffic.
SIDE BY SIDE
| GPT-5.6 Cyber → | GLM 5.3 → | |
|---|---|---|
| Vendor | OpenAI | Z.ai |
| Input / MTok | $12.50 | $1.40 |
| Output / MTok | $75.00 | $4.40 |
| Output multiple | 6.0x | 3.1x |
| 1K prompt + 3K reply | $0.24 | $0.01 |
SAME JOB, BOTH BILLS
| Scenario | GPT-5.6 Cyber | GLM 5.3 | Gap |
|---|---|---|---|
| A typical prompt | $0.07 | $0.0044 | 16.3x |
| A 20-turn conversation | $0.35 | $0.02 | 15.1x |
| Summarizing a 10-page document | $0.34 | $0.03 | 13.4x |
| One agent run | $0.93 | $0.06 | 16.6x |
| A code review request | $0.30 | $0.02 | 16.1x |
Output sizes use the same editorial ratios as the Burn Calculator. Estimates, not invoices — and price is not a benchmark: the cheaper model is only a bargain if it does the job.
SETTLE IT WITH YOUR OWN PROMPT
Paste a real prompt into the Burn Calculator and see what it costs on GPT-5.6 Cyber, GLM 5.3 and the other 34 models on the board — plus how much of it is waste either way.