DeepSeek / deepseek/deepseek-v4-pro
DeepSeek V4 Pro - access through LLMTR
DeepSeek V4 Pro targets teams that prioritize reasoning, agentic and coding quality over minimum unit cost. It offers a 1M-token context window and up to 384K output, with tool calls. For image input or a lower unit cost, `deepseek/deepseek-flash` is the better fit. DeepSeek applies peak-hour pricing to this model: every token item costs double on weekdays (Monday-Friday, Beijing time) between 01:00-04:00 and 06:00-10:00 UTC. Weekends bill at the off-peak rate all day.
Technical specifications
| Canonical ID | deepseek/deepseek-v4-pro |
|---|---|
| Provider | DeepSeek |
| Context window | 1,000,000 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 | $0.660000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.022000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $1.98 |
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":"deepseek/deepseek-v4-pro","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- PentestCode LLMTR provider setup for authorised engagements - Working from the actual files on the PentestCode LLMTR branch, this guide covers key resolution, the seeded and live model catalog, and the request transform that normalises reasoning fields per model, all inside an authorised engagement scope.
- Hermes Agent LLMTR plugin: profile fields and install - Hermes Agent keeps third-party providers out of the core tree and in a plugin directory. The LLMTR profile is a declarative ProviderProfile with no custom transport hooks; this guide covers its fields and its lifecycle.
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