# d1-ultra Liquid AI · Proprietary · bench-align-v5 > Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed. Page: https://modelscale.dev/models/d1-ultra JSON: https://modelscale.dev/api/model/d1-ultra ## Facts | Field | Value | Evidence | | --- | --- | --- | | Canonical id | `d1-ultra` | — | | Overall score | Unavailable | Unavailable · source benchlm:models | | Context window | Unavailable | Unavailable · source benchlm:models | | Release date | 2026-10-15 | Observed 2026-10-23 · source benchlm:models | | Access type | Proprietary | — | | Blended $/1M (75% input / 25% output) | $0.0315 | Derived from the input and output rates below | ## Capability evidence Seven axes from the ranking source. An axis the source did not score is unavailable, not zero. | Axis | Score | Evidence | | --- | --- | --- | | Agentic | Unavailable | Unavailable · source benchlm:models | | Coding | Unavailable | Unavailable · source benchlm:models | | Knowledge | Unavailable | Unavailable · source benchlm:models | | Reasoning | Unavailable | Unavailable · source benchlm:models | | Multimodal & Grounded | Unavailable | Unavailable · source benchlm:models | | Instruction Following | Unavailable | Unavailable · source benchlm:models | | Math | Unavailable | Unavailable · source benchlm:models | ## Runtime service evidence Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim. Regional or per-endpoint measurements appear only when the API supplies them; none are modelled. | Measurement | Value | Observed | Last good | Evidence | | --- | --- | --- | --- | --- | | Time to first token | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | | Throughput | Unavailable | Unavailable | Unavailable | Unavailable · source benchlm:speed | ## Endpoint and price matrix Every published price component, including cache reads and writes. | Component | USD | Evidence | | --- | --- | --- | | Input / 1M tokens | $0.042 | Observed 2026-10-23 · source benchlm:pricing | | Output / 1M tokens | $0.00 | Observed 2026-10-23 · source benchlm:pricing | | Cache read / 1M tokens | Unavailable | Unavailable · source benchlm:pricing | | Cache write / 1M tokens | Unavailable | Unavailable · source openrouter:pricing | | Blended / 1M (75% input / 25% output) | $0.0315 | Derived — from the input and output rates above; it has no source record of its own | | Cost per successful task (LiveBench) | Unavailable | Fetch failed · source livebench:table | **Self-hosted listing.** Liquid AI lists d1-ultra at $0.042 per million input tokens on the Liquid API and bills input tokens only, with no output tokens. Images count as input at 1.5 tokens per 32x32-pixel patch, so a 1024x1024 image is 1,536 tokens, and each question is billed as its own prompt including its text and all images. Price completed decisions from the returned usage. No cached-input rate is published. The rates above are a hosted price matched from another provider, not a first-party list price. ## Workload-aware monthly cost example 10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. Derived here from the published rates above by this site's own calculator — not a figure any source published. | Field | Value | | --- | --- | | Modelled monthly cost | $0.0887 | | Modelled tokens | 2.82M | ## Benchmark record 6 matched benchmark rows with their published value, unit, and provenance. ### external | Benchmark | Value | Tasks | Difficulty | Provenance | | --- | --- | --- | --- | --- | | Artificial Analysis Decision Index | 65.2 | — | Weighted average of four decision-model evaluations | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision accuracy | 31.6 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | AA-Omniscience-Decision non-hallucination rate | 84.5 | — | Knowledge questions with an abstain option | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | HLE-MultiChoice (Decision Index) | 15.0 | — | Expert-level multiple choice | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | When2Call (Decision Index) | 92.6 | — | Tool-use decisions | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | | WildGuardTest (Decision Index) | 95.4 | — | Safety classification | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) | ## Lifecycle and limitations log Lifecycle events the source associates with this model. | Event | Type | Confirmation | Announced | Effective | Replacement | Source | | --- | --- | --- | --- | --- | --- | --- | | d1-ultra | Release | confirmed | Unavailable | 2026-10-15 | — | [Liquid AI d1-ultra launch](https://www.liquid.ai/blog/d1-ultra) | ## What this profile does not claim Values are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned. Last attempted fetch for this model's score: 2026-10-23 13:17 UTC.