GLM-4.6
The widely adopted GLM-4.6 model with a 200K-token context window, popular for coding agents.
Source: Z.ai GLM API pricing, Z.ai GLM models
Pricing
Every billing leg from the live catalog, in USD per 1M tokens.
| Billing leg | Rate |
|---|---|
| Input | $0.43 / M |
| Output | $1.74 / M |
| Cache read | $0.08 / M |
Cost calculator
Billing-grade math over the rate card above, including the thinking tokens most estimates miss.
Hidden reasoning tokens bill as output. 1.0x = thinking off. Medium-effort reasoning typically lands near 3x; heavy reasoning runs 6x to 8x. Set it to match your workload.
Compare providers
The same model, priced across every platform that serves it. Lowest combined in/out rate is flagged.
| Platform | Input / M | Output / M | Cache read / M | Batch | Access |
|---|---|---|---|---|---|
DeepInfraLowest | $0.43 | $1.74 | $0.08 | — | via OpenRouter |
Venice | $0.43 | $1.75 | $0.08 | — | via OpenRouter |
Novita | $0.55 | $2.2 | $0.11 | — | via OpenRouter |
Together AI | $0.6 | $2.2 | — | — | Direct |
AtlasCloud | $0.6 | $2.2 | $0.11 | — | via OpenRouter |
Z.ai | $0.6 | $2.2 | $0.11 | — | via OpenRouter |
Price history
Has this model gotten cheaper or more expensive?
More from Z.ai
Other models from the same provider.
Stop estimating. Track it.
SuperPenguin meters every GLM-4.6 call your team makes, prices it with this exact rate card, and shows spend by feature, customer, and team.
Rates are generated from SuperPenguin's live pricing catalog.