GLM-5.3-Flash is now available on the Telnyx Inference API. It is the first native multimodal model in the GLM-5 series, delivering stronger intelligence than GLM-5.2 at a fraction of the cost. The model runs on Telnyx-owned GPU infrastructure with an introductory 50% pricing discount through September 9.
zai-org/GLM-5.3-Flash
. A 320B-parameter model with 18B activated parameters, using a hybrid sparse-plus-linear attention architecture. 1M token context window, MIT-licensed, hosted on Telnyx-owned GPUs.image_url
content blocks in the Chat Completions API. No separate vision endpoint or model swap required.GLM-5.3-Flash delivers stronger intelligence than GLM-5.2 while costing roughly 92% less per input token and 94% less per output token. The hybrid architecture means that efficiency comes from the model design itself, not from running on smaller or lower-quality hardware. For teams running high-volume inference, that gap turns a model swap into real margin improvement with zero integration work. Native vision support means teams building multimodal applications can use one model for text and image tasks instead of routing between separate vision and text endpoints.
zai-org/GLM-5.3-Flash
from the model dropdown.
curl https://api.telnyx.com/v2/ai/chat/completions \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.3-Flash",
"messages": [
{"role": "user", "content": "Summarize this support ticket in one sentence."}
]
}'
For image input, pass an image_url
content block:
curl https://api.telnyx.com/v2/ai/chat/completions \
-H "Authorization: Bearer $TELNYX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.3-Flash",
"messages": [
{"role": "user", "content": [
{"type": "text", "text": "What is in this image?"},
{"type": "image_url", "image_url": {"url": "https://example.com/image.png"}}
]}
]
}'
Learn more in the Inference API docs or on the pricing page.