Liquid AI / liquid/d1-ultra
d1-ultra - access through LLMTR
d1-ultra is Liquid AI's largest decision model. It evaluates typed questions against a state you send as text or JSON, with images optionally attached alongside it, and returns one structured answer per question: a choice from your options, a score along your levels, or the probability that a statement is true. It generates no free text, and choice and score answers come with their probability distribution. Every question is read and billed together with the whole state and all images, so send only the questions you will use.
Technical specifications
| Canonical ID | liquid/d1-ultra |
|---|---|
| Provider | Liquid AI |
| Context window | 32,768 tokens |
| Operations | SYSTEM_ONE |
| 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 |
|---|---|---|---|
| SYSTEM_ONE | INPUT_TEXT | PER_1M_TOKENS | $0.042000 |
| SYSTEM_ONE | OUTPUT_TEXT | PER_1M_TOKENS | Not available |
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":"liquid/d1-ultra","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- Liquid d1-ultra API: probability decisions on /v1/systemone - liquid/d1-ultra is a decision model that evaluates typed questions against a state you send, with optional images, and generates no text. On LLMTR it is called at https://llmtr.com/v1/systemone; 1M input tokens cost $0.042, output costs $0, and every question is billed along with the state.
- Categorizing a product catalog with d1-ultra, with review - liquid/d1-ultra is a decision model that returns a probability for every category question you ask about a product description, and generates no text. This article categorizes a catalog through https://llmtr.com/v1/systemone with a two-level tree; products whose confidence stays below the example threshold, or whose request fails, go to a review queue.
- Models added to LLMTR in October 2026: facts and guide - Eight of the models LLMTR added in October 2026 in one table: Glimpse, Muse Spark Open, Nemotron 3.5 Super VL (paid and free rows), Moondream 3.1, EmbeddingMagibu 200M, the two decision models on /v1/systemone and Beam 1.0, free until 22 October 2026, 23:59 (Turkey time). All are called at https://llmtr.com/v1 with the same key; the free Qwen3.8 27B row, added earlier, is listed next to them.
Related models
- LFM2.5-24B-A2B liquid/lfm-2.5-24b-a2b
- LFM2.5-Embedding-350M (free) liquid/lfm-2.5-embedding-350m-free
- Gemma 4 llmtr/gemma-4
- Qwen 3.6 35B-A3B llmtr/qwen3-6-35b
- Qwen 3.8 27B llmtr/qwen3-8-27b
- Trendyol Asure 12B llmtr/trendyol-asure-12b
- Magibu 11B v8 llmtr/magibu-11b-v8
- Muse Glimmer 30B (Turkey) llmtr/muse-glimmer-30b-tr