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GLM 5.3

nearai/z-ai/glm-5.3

textContext 1.0M

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks, with a 1M-token context window.

Price

Input$1.8

per 1M tokens

Output$5.75

per 1M tokens

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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.

No provider prices yet.

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

$7.55 at list price for this workload

Cache

Cache read$0.45

per 1M tokens

Every rate
UnitInputOutputFlatConfidence
token $1.8/1M $5.75/1M Not published— official

Price history

GLM 5.3
6.5 0 2026-10-22: $1.82026-10-23: $1.82026-10-24: $1.82026-10-25: $1.82026-10-26: $1.82026-10-27: $1.82026-10-28: $1.82026-10-29: $1.82026-10-30: $1.8 2026-10-22 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-10-22 token $1.8 $5.75 Not published—
2026-10-23 token $1.8 $5.75 Not published—
2026-10-24 token $1.8 $5.75 Not published—
2026-10-25 token $1.8 $5.75 Not published—
2026-10-26 token $1.8 $5.75 Not published—
2026-10-27 token $1.8 $5.75 Not published—
2026-10-28 token $1.8 $5.75 Not published—
2026-10-29 token $1.8 $5.75 Not published—
2026-10-30 token $1.8 $5.75 Not published—

Alternatives

Call this model

OpenRouter id nearai/z-ai/glm-5.3. 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":"nearai/z-ai/glm-5.3","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: "nearai/z-ai/glm-5.3",
    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": "nearai/z-ai/glm-5.3", "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())

JSON · History JSON