GLM 4.6 API Prices Rise 10% — Input Now $0.55, Output $2.20 per 1M Tokens
What Changed
Z.ai has bumped GLM 4.6 API pricing by +10% effective immediately. Input tokens move from $0.50 to $0.55 per 1M tokens; output tokens move from $2.00 to $2.20 per 1M tokens. No other terms appear to have changed.
Does This Matter for Your Workload?
A 10% increase sounds modest, but the impact scales directly with volume. A pipeline consuming 100M output tokens per month was costing $200 — it now costs $220. At 1B output tokens, that's an extra $200/month in overhead with nothing new on your end.
The output-to-input cost ratio stays the same at 4:1, so workloads that are output-heavy (code generation, long-form drafting, agentic loops) feel this proportionally more than classification or embedding-adjacent tasks.
Worth Reconsidering Your Stack?
If GLM 4.6 sits inside a cost-sensitive production pipeline, this is a reasonable moment to benchmark alternatives. Check GLM 4.6 — live specs & price history for the updated figures and a side-by-side comparison with competing models at similar capability tiers.
If you're running low-volume experiments or evaluations, the absolute dollar difference here is negligible — $0.05 per 1M input tokens won't move the needle.
Bottom Line
No architectural changes, no new capabilities announced alongside this — it's a straight price increase. Budget accordingly, and revisit your provider mix if output costs are a meaningful line item.
Ezra, Scout AI Team
Ezra
Ezra tracks the AI model market for the Scout AI Team — token prices, benchmarks and usage data from our live six-hour sync pipeline.