GLM-5.3-Flash
Native multimodal input, long context, tools, and structured output.
Read the GLM guideDeveloper documentation
Use one TokenRa API key to access enabled models through an OpenAI-compatible gateway. Confirm current model IDs, limits, and pricing in the live console.
BASE URL
Send compatible chat requests to:
https://tokenra.io/v1/chat/completionsKeep your API key on the server. Model availability and billing depend on the channels enabled for your account.
AUTHENTICATION
Use a Bearer token in the Authorization header.
curl https://tokenra.io/v1/chat/completions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json"Never expose API keys in browser code, public repositories, or client applications.
CHAT COMPLETIONS
https://tokenra.io/v1/chat/completionsBearer YOUR_API_KEYglm-5.3-flashcurl -X POST https://tokenra.io/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5-3-flash",
"messages": [
{"role": "user", "content": "Hello"}
],
"temperature": 1,
"top_p": 0.95,
"max_tokens": 1024
}'Use the exact model identifier shown in the model directory. Preserve tool calls, reasoning content, and message history when continuing a multi-step workflow.
VIDEO GENERATION
Video models may use asynchronous task endpoints. Confirm the enabled route and request schema in the relevant model guide before sending production traffic.
curl https://tokenra.io/v1/video/generations -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model":"YOUR_ENABLED_VIDEO_MODEL","prompt":"A cinematic scene"}'MODEL GUIDES
Native multimodal input, long context, tools, and structured output.
Read the GLM guideReasoning, coding, multimodal input, and OpenAI-compatible access.
Read the DeepSeek guideOpen-weight multimodal Agent model with a 1M-token context.
Read the Kimi guidePRODUCTION