TensorX / tensorx/deepseek-v4-flash-0731-tensorx
DeepSeek V4 Flash 0731 - access through LLMTR
DeepSeek V4 Flash 0731 offers a 1,048,576-token context window and supports tool/function calling. It accepts text only; for image input use the DeepSeek V4.1 Flash row on this provider. Its output price is the lowest on this provider, which suits batch work that produces long answers.
Same model, other providers: GreenPT (EU)
Technical specifications
| Canonical ID | tensorx/deepseek-v4-flash-0731-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 | $0.250000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.060000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.300000 |
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-flash-0731-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.
- 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.
Related models
- Kimi K3 tensorx/kimi-k3-tensorx
- Kimi K2.7 Code tensorx/kimi-k2.7-code-tensorx
- GLM-5.3 tensorx/glm-5.3-tensorx
- GLM-5.3 Flash tensorx/glm-5.3-flash-tensorx
- GLM-5.2 tensorx/glm-5.2-tensorx
- MiniMax M3 tensorx/minimax-m3-tensorx
- DeepSeek V4 Pro 0813 tensorx/deepseek-v4-pro-0813-tensorx
- DeepSeek V4.1 Flash tensorx/deepseek-v4.1-flash-tensorx