TL;DRd1-ultra by Liquid AI costs $0.042 per 1M input tokens and $0.00 per 1M output tokens — observed 2026-10-23.
Canonical idd1-ultra
Context windowUnavailable Access typeProprietary
Blended $/1M$0.031575% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Capability evidence
Multimodal & GroundedUnavailable Instruction FollowingUnavailable Runtime service evidence
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Unavailable
Runtime measurements| Measurement | Value | Observed | Last good | Evidence |
|---|
| Time to first token | Unavailable | Unavailable | Unavailable | |
| Throughput | Unavailable | Unavailable | Unavailable | |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
Price components| Component | USD | Evidence |
|---|
| Input / 1M tokens | $0.042 | |
| Output / 1M tokens | $0.00 | |
| Cache read / 1M tokens | Unavailable | |
| Cache write / 1M tokens | Unavailable | |
| Blended / 1M (75% input / 25% output) | $0.0315 | |
| Cost per successful task (LiveBench) | Unavailable | |
Self-hosted listingLiquid 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. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
Modelled monthly cost$0.0887
Modelled tokens2.82M
Benchmark record
6 matched benchmark rows with their published value, unit, and provenance.
external
external benchmarks| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|
| Artificial Analysis Decision Index Artificial Analysis Decision Index | 65.2 | — | Weighted average of four decision-model evaluations | Artificial Analysis Decision Index v1.0 |
| AA-Omniscience-Decision accuracy AA-Omniscience-Decision accuracy | 31.6 | — | Knowledge questions with an abstain option | Artificial Analysis Decision Index v1.0 |
| AA-Omniscience-Decision non-hallucination rate AA-Omniscience-Decision non-hallucination rate | 84.5 | — | Knowledge questions with an abstain option |
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
What this profile does not claimValues 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 — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.
ModelScale