TensorX / tensorx/glm-5.3-tensorx
GLM-5.3 - access through LLMTR
GLM-5.3 is a general-purpose reasoning model with a 1,048,576-token context window, and it supports tool/function calling. It accepts text only; for image input switch to the GLM-5.3 Flash row on this provider. It reasons by default and those tokens bill as output.
Technical specifications
| Canonical ID | tensorx/glm-5.3-tensorx |
|---|---|
| Provider | TensorX |
| Context window | 1,048,576 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $1.75 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.440000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $4.50 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"tensorx/glm-5.3-tensorx","messages":[{"role":"user","content":"Hello"}]}'
Guides about this model
- Can You Use Kimi K3 Through an EU-Hosted API? - Kimi K3 is available on LLMTR as tensorx/kimi-k3-tensorx. Per the provider's statement, requests are processed inside the European Union, and the TensorX data-transfer consent is required. Context is 1,048,576 tokens; price is $3.00 / $0.75 / $15.00 per 1M tokens.
- EU-Hosted Models for AI Agents and Coding - Every TensorX chat model on LLMTR supports tool (function) calling and streaming. Eight rows suited to agents and coding are compared, with a session cost example, reasoning token notes, API key scoping and the TensorX data-transfer consent.
- Should I Use TensorX Directly or Through LLMTR? - On LLMTR the TensorX rows carry TensorX's USD list price; an 8% margin is added once, on the credit top-up. In return you get one key, one balance and the option to switch to a same-family row by changing the model string. If you will only ever use TensorX, going direct can also make sense.
- EU-Hosted Model Error: A Two-Way Fallback Guide - If an EU-hosted row returns an error, the same API key and balance can call the other row of the same model family; GreenPT and TensorX pairs work in both directions. LLMTR does not switch providers; the client does. No fallback on 400 or 403.
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