TensorX / tensorx/deepseek-v4.1-flash-tensorx
DeepSeek V4.1 Flash - access through LLMTR
DeepSeek V4.1 Flash offers a 1,048,576-token context window and accepts image input alongside text. It supports tool/function calling. It suits processing long documents without splitting them and answering image-bearing requests at a low output price.
Same model, other providers: GreenPT (EU)
Technical specifications
| Canonical ID | tensorx/deepseek-v4.1-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 | $0.500000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.130000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $1.50 |
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/deepseek-v4.1-flash-tensorx","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- DeepSeek GDPR: DeepSeek V4 Through an EU-Hosted API - DeepSeek's own privacy policy says it stores personal data in the People's Republic of China. The three TensorX DeepSeek V4 rows on LLMTR are processed inside the European Union per the provider; the GDPR assessment stays with you, and a data-transfer consent is required.
- 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.
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