TensorX / tensorx/kimi-k3-tensorx
Kimi K3 - access through LLMTR
Kimi K3 is a reasoning model with a 1,048,576-token context window that also processes image input. It supports tool/function calling. It reasons by default and those tokens bill as output.
Same model, other providers: GreenPT (EU) · Moonshot AI (Kimi)
Technical specifications
| Canonical ID | tensorx/kimi-k3-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 | $3.00 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.750000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $15.00 |
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/kimi-k3-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.
- 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.
- 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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