by 0G Foundation
Zhipu AI GLM-5.3-Flash, a fast, cost-effective model for coding and agentic tasks. Text in / text out, 1M context, up to 128K output. Deep thinking is always on and cannot be disabled. Function calling, JSON mode, and implicit prompt caching supported.
1M
1,179,648 tokens
131K
131,072 tokens
$0.1431
per 1M tokens
$0.5009
per 1M tokens
curl "https://router-api.0g.ai/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-d '{
"model": "glm-5.3-flash",
"messages": [
{"role": "user", "content": "Hello!"}
],
"stream": true
}'TEE Verification
Request on-chain signature verification with verify_tee. The response includes a tee_verified field in the trace.
{
"model": "glm-5.3-flash",
"messages": [{"role": "user", "content": "Hello!"}],
"verify_tee": true
}Provider Routing
Control which provider handles your request using the X-0G-Provider-* request headers.
X-0G-Provider-Address pins a provider; X-0G-Provider-Identity pins which of its upstreams to route through — both values come from the address and provider_identity fields of GET /v1/providers. Together they address one specific upstream of one provider. Send neither and the router picks by price and health, exactly as before.
curl "https://router-api.0g.ai/v1/chat/completions" \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-H "X-0G-Provider-Address: <PROVIDER_ADDRESS>" \
-H "X-0G-Provider-Identity: <UPSTREAM>" \
-H "X-0G-Provider-Sort: latency" \
-H "X-0G-Provider-Allow-Fallbacks: true" \
-d '{
"model": "glm-5.3-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'