tencent/hunyuan-a13b-instruct on TackleKey
Check this model ID and provider context, then confirm its current price and availability in the live marketplace before a larger test.
Model details
OpenAI-compatible request
Use the exact public model identifier tencent/hunyuan-a13b-instruct. Keep the API key in a server-side environment variable and start with a small response limit.
curl https://api.tacklekey.com/v1/chat/completions \
-H "Authorization: Bearer $TACKLEKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tencent/hunyuan-a13b-instruct",
"messages": [
{
"role": "user",
"content": "Reply with a one-sentence API health check."
}
],
"max_tokens": 64
}'
How to use it
TackleKey is OpenAI-compatible for common chat completion workflows. Replace the base URL with the TackleKey endpoint, use an API key, and verify the tencent/hunyuan-a13b-instruct availability, endpoint support, request log, and balance record before scaling traffic.
Related 腾讯 models
No related public models
Check the model directory for other available options.
FAQ
What model ID should I send for tencent/hunyuan-a13b-instruct?
Use tencent/hunyuan-a13b-instruct exactly as shown in the current TackleKey pricing catalog, then confirm it is still available before a larger run.
Where can I find the tencent/hunyuan-a13b-instruct price?
Open the live model marketplace. Static pages do not reproduce token, fixed, or expression-based billing rules.
Is tencent/hunyuan-a13b-instruct the cheapest or best model?
This page does not make that claim. Compare live 腾讯 and cross-provider prices, endpoint support, request success, and output quality for your workload.
Try TackleKey with one OpenAI-compatible change
Create an account, generate an API key, then replace your client base URL with the TackleKey endpoint. Keep keys server-side and verify live pricing before scaling traffic.