TensorX / tensorx/qwen3.8-2.4t-a95b-tensorx
Qwen3.8 2.4T A95B - access through LLMTR
Qwen3.8 2.4T A95B is a large reasoning model with a 262,144-token context window, and it supports tool/function calling. It accepts text only; a request containing an image is refused. 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/qwen3.8-2.4t-a95b-tensorx |
|---|---|
| Provider | TensorX |
| Context window | 262,144 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 | $2.50 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.630000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $6.00 |
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/qwen3.8-2.4t-a95b-tensorx","messages":[{"role":"user","content":"Hello"}]}'Related models
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