GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while sharply reducing serving cost. 320B total / 18B active parameters, 1M-token context, text + image + video in, text out.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1https://api.orcarouter.aiimport os
from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key=os.environ["ORCAROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="z-ai/glm-5.3-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)include_reasoningmax_tokensreasoningreasoning_effortresponse_formatstopstreamtemperaturetool_choicetoolstop_p| Input / 1M tokens | $0.075 |
| Output / 1M tokens | $0.250 |
| Cache read / 1M | $0.015 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
What developers are saying this week
GET /api/public/models/z-ai/glm-5.3-flashOpen @misc{orcarouter_glm_5_3_flash,
title = {GLM 5.3 Flash API},
author = {Z.ai},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/z-ai/glm-5.3-flash}
}Z.ai. (2026). GLM 5.3 Flash API. OrcaRouter. https://www.orcarouter.ai/models/z-ai/glm-5.3-flash