InferIndex · https://inferindex.dev/en/compare/nousresearch/hermes-4-405b/vs/z-ai/glm-5.1
Hermes 4 405B costs from $1.50 per million tokens and GLM 5.1 from $1.40 (at a 3:1 input:output mix): the cheapest price for each; prices checked on .
Verdict
At these prices, the two models cost about the same per million tokens (at a 3:1 input:output mix).
Each model's lowest blended price, per 1M tokens, across every provider we track.
| Model | Lowest blended price, $ per 1M tokens. Green background: the most favourable value of each column. | Input price of the cheapest offer, per 1M tokens | Output price of the cheapest offer, per 1M tokens | The provider's published policy says the text you send is not used to train models. We only show what is published; we can't check it ourselves. | For 2,000 input tokens and 500 output tokens per request, 1,000 requests a day, at the cheapest offer for that workload. Change the workload above. | Offers | Providers | The maximum amount of text, counted in tokens, the model can take in and write in a single request. Past this limit, the request is refused or cut. | Observation |
|---|---|---|---|---|---|---|---|---|---|
| Most expensive offer · $2.15. The highest blended price among comparable offers: one price per provider (its cheapest route), standard tier, current prices only. Priority tiers and prices converted from points are not counted. Green background: the most favourable value of each column., most favourable value of the column | $0.90, most favourable value of the column | $2.90, most favourable value of the column | $1.40 | $97.50at Chutes | 52 | 36, most favourable value of the column | 203k | Cheapest. Lowest blended price, $ per 1M tokens | |
| $1.50 | $1.00 | $3.00 | at NanoGPT, most favourable value of the column | $36.00, most favourable value of the columnat NanoGPT | 7 | 5 | 128k |
Green background: the most favourable value of each column.
Prices as of Oct 30, 2026, 10:29 PM UTCSame rules as the API's /cheapest route. The monthly estimate uses the cheapest offer for that workload.