per 1M tokens
Z.ai: GLM 5
z-ai/glm-5
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Price
per 1M tokens
Cheaper on GMICloud (−40%) versus the lab price
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| GMICloud | gmicloud/fp8 | fp8 | $0.6/1M | $1.92/1M | 203K | 100% | Live | openrouter-endpoints |
| StreamLake | streamlake/fp8 | fp8 | $0.6/1M | $1.92/1M | 198K | 100% | Live | openrouter-endpoints |
| Baidu | baidu/fp8 | fp8 | $0.7/1M | $2.24/1M | 203K | 100% | Live | openrouter-endpoints |
| Inference.net | — | — | $0.95/1M | $2.55/1M | 205K | — | Listed | inferencenet |
| SiliconFlow | siliconflow/fp8 | fp8 | $0.95/1M | $2.55/1M | 205K | 100% | Live | openrouter-endpoints |
| Io Net | — | fp8 | $0.94/1M | $3.008/1M | 203K | — | Listed | ionet |
| AtlasCloud | — | fp8 | $0.95/1M | $3.15/1M | 203K | — | Listed | atlascloud |
| Amazon Bedrock | amazon-bedrock | — | $1/1M | $3.2/1M | 203K | 100% | Live | openrouter-endpoints |
| Novita | — | — | $1/1M | $3.2/1M | 203K | — | Listed | novita |
| Novita | novita/fp8 | fp8 | $1/1M | $3.2/1M | 203K | 100% | Live | openrouter-endpoints |
| Together | — | — | $1/1M | $3.2/1M | 203K | — | Listed | together |
| Venice | venice/fp8 | fp8 | $1/1M | $3.2/1M | 198K | 100% | Live | openrouter-endpoints |
| Z.ai | z-ai/fp8 | fp8 | $1/1M | $3.2/1M | 203K | 100% | Live | openrouter-endpoints |
| Venice | venice/turbo | — | $1.2/1M | $4/1M | 200K | 100% | Live | openrouter-endpoints |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$4.20 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $1/1M | $3.2/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-09-15 | token | $0.6 | $1.92 | Not published— |
| 2026-09-16 | token | $0.6 | $1.92 | Not published— |
| 2026-09-17 | token | $0.6 | $1.92 | Not published— |
| 2026-09-18 | token | $0.6 | $1.92 | Not published— |
| 2026-09-19 | token | $0.6 | $1.92 | Not published— |
| 2026-09-20 | token | $0.6 | $1.92 | Not published— |
| 2026-09-21 | token | $0.6 | $1.92 | Not published— |
| 2026-09-22 | token | $0.6 | $1.92 | Not published— |
| 2026-09-23 | token | $0.6 | $1.92 | Not published— |
| 2026-09-24 | token | $0.6 | $1.92 | Not published— |
| 2026-09-25 | token | $0.6 | $1.92 | Not published— |
| 2026-09-26 | token | $0.6 | $1.92 | Not published— |
| 2026-09-27 | token | $0.6 | $1.92 | Not published— |
| 2026-09-28 | token | $0.6 | $1.92 | Not published— |
| 2026-09-29 | token | $0.6 | $1.92 | Not published— |
| 2026-09-30 | token | $0.6 | $1.92 | Not published— |
| 2026-10-01 | token | $0.6 | $1.92 | Not published— |
| 2026-10-02 | token | $0.6 | $1.92 | Not published— |
| 2026-10-03 | token | $0.6 | $1.92 | Not published— |
| 2026-10-04 | token | $0.6 | $1.92 | Not published— |
| 2026-10-05 | token | $0.6 | $1.92 | Not published— |
| 2026-10-06 | token | $0.6 | $1.92 | Not published— |
| 2026-10-07 | token | $0.6 | $1.92 | Not published— |
| 2026-10-08 | token | $0.6 | $1.92 | Not published— |
| 2026-10-09 | token | $0.6 | $1.92 | Not published— |
| 2026-10-10 | token | $0.6 | $1.92 | Not published— |
| 2026-10-11 | token | $0.6 | $1.92 | Not published— |
| 2026-10-12 | token | $0.6 | $1.92 | Not published— |
| 2026-10-13 | token | $0.6 | $1.92 | Not published— |
| 2026-10-14 | token | $0.6 | $1.92 | Not published— |
| 2026-10-15 | token | $1 | $3.2 | Not published— |
| 2026-10-16 | token | $1 | $3.2 | Not published— |
| 2026-10-17 | token | $1 | $3.2 | Not published— |
| 2026-10-18 | token | $1 | $3.2 | Not published— |
| 2026-10-19 | token | $1 | $3.2 | Not published— |
| 2026-10-20 | token | $1 | $3.2 | Not published— |
| 2026-10-21 | token | $1 | $3.2 | Not published— |
| 2026-10-22 | token | $1 | $3.2 | Not published— |
| 2026-10-23 | token | $1 | $3.2 | Not published— |
| 2026-10-24 | token | $1 | $3.2 | Not published— |
| 2026-10-25 | token | $1 | $3.2 | Not published— |
| 2026-10-26 | token | $1 | $3.2 | Not published— |
| 2026-10-27 | token | $1 | $3.2 | Not published— |
| 2026-10-28 | token | $1 | $3.2 | Not published— |
| 2026-10-29 | token | $1 | $3.2 | Not published— |
| 2026-10-30 | token | $1 | $3.2 | Not published— |
Alternatives
Parameters (17)
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Call this model
OpenRouter id z-ai/glm-5. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"z-ai/glm-5","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "z-ai/glm-5",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "z-ai/glm-5", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())