TensorX / tensorx/glm-5.3-flash-tensorx
GLM-5.3 Flash - access through LLMTR
GLM-5.3 Flash offers a 1,048,576-token context window, accepts image input and supports tool/function calling. Repeated prompt prefixes can be served from a cache, and those tokens bill at roughly a quarter of the input rate. It reasons by default and those tokens bill as output.
Technical specifications
| Canonical ID | tensorx/glm-5.3-flash-tensorx |
|---|---|
| Provider | TensorX |
| Context window | 1,048,576 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
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 | $0.200000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.050000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.500000 |
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-flash-tensorx","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- TensorX API: EU-Hosted Models Through One API - LLMTR offers 12 TensorX chat models and 1 embedding model as tensorx/<model>-tensorx ids at https://llmtr.com/v1. A call needs the TensorX data-transfer consent on the account; the same key and balance also work for every other model.
- EU-Hosted Embedding API for a GDPR-Minded RAG - A RAG pipeline can run its embedding and answer steps on TensorX rows through LLMTR. Embedding 10 million tokens costs $0.20, and one data-transfer consent covers both steps. The GDPR assessment stays with you.
- TensorX Pricing per Million Tokens on LLMTR - LLMTR serves TensorX models at TensorX's own USD list prices, with no markup on the token price. The table lists input, cache-read and output prices for 11 chat rows and 1 embedding row, followed by worked cost examples.
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