LiquidAI · Model release
Data as of October 7, 2026 · How the score is built
Released Oct 7, 202616384 tokens contextLiquid AI d1-omni-600M model card
d1-omni-600M
Decision readingd1-omni-600M is tracked, but not publicly ranked yet. The profile exposes 6 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Oct 7, 2026 — see all recent releases
d1-omni-600M will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 52.1Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.95No comparable first-party hosted token rate
Speed
Not measured
field median 97 tok/sTime to first token not measured
Context
16384 tokenstokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
6 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 6 displayable benchmark rows
Follow model changesBenchmark ledger
External signals opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
External signals6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Decision Index 0.2.1 (Liquid report) | Score15.95 skill points | Versus best verified row Best verified: d1-3B · 48.57 skill points | Gap32.6 behind | WeightDisplay only | Provider exact |
| Knowledge (Liquid report) | Score8.3 skill points | Versus best verified row Best verified: d1-3B · 23.8 skill points | Gap15.5 behind | WeightDisplay only | Provider exact |
| Language (Liquid report) | Score12.9 skill points | Versus best verified row Best verified: d1-3B · 56.4 skill points | Gap43.5 behind | WeightDisplay only | Provider exact |
| Retrieval (Liquid report) | Score35.0 skill points | Versus best verified row Best verified: d1-3B · 52.8 skill points | Gap17.8 behind | WeightDisplay only | Provider exact |
| Tools (Liquid report) | Score15.1 skill points | Versus best verified row Best verified: d1-3B · 74.5 skill points | Gap59.4 behind | WeightDisplay only | Provider exact |
| Arts (Liquid report) | Score6.8 skill points | Versus best verified row Best verified: d1-3B · 36.3 skill points | Gap29.5 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
d1-omni-600M release history
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Radar
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- Weights model ID
- LiquidAI/d1-omni-600MLiquid AI d1-omni-600M model card
- Context window
- 16384 tokensLiquid AI d1-omni-600M serving config
- Maximum output
- 0 generated tokensLiquid AI d1-omni-600M model card
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, audioLiquid AI d1-omni-600M model card
- Output modalities
- typed JSONLiquid AI d1-omni-600M model card
- Parameters
- 587M totalLiquid AI d1-omni-600M model card
- Availability
- Open weights on Hugging FaceLiquid AI d1-omni-600M model card
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Local system_one returns Noul probabilities, Choice distributions, or Score rubric levels in one pass, with zero output tokens. This weights ID is not a verified hosted API SKU.Liquid AI d1-omni-600M model card
- Prompt caching
- Not documented in the pricing recordLiquid AI d1-omni-600M model card and weights license
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track d1-omni-600M, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
d1-omni-600M is a open weight model with a 16384 tokens context window. No explicit reasoning mode is documented in this profile.
This experimental checkpoint has 587M parameters and accepts text with images or text with audio, never images and audio in the same request. Its serving config caps the combined context at 16,384 positions and image-request text at 896 tokens, despite the trunk config listing 128,000 positions. Speech clips are capped at 30 seconds; the audio training covers English assistant requests. Liquid reports 78.4% mean accuracy on seven text decision tasks, omits HelpSteer2 because of possible training overlap, and publishes no inference timings for this checkpoint. The weights license has commercial-use conditions.
Liquid AI released d1-omni-600M on October 7, 2026, under the LFM Open License v1.0. It returns Noul, Choice, or Score answers in one forward pass with zero generated tokens. This experimental checkpoint has 587M parameters and accepts text with images or text with audio, never images and audio in the same request. Its serving config caps the combined context at 16,384 positions and image-request text at 896 tokens, despite the trunk config listing 128,000 positions. Speech clips are capped at 30 seconds; the audio training covers English assistant requests. Liquid reports 78.4% mean accuracy on seven text decision tasks, omits HelpSteer2 because of possible training overlap, and publishes no inference timings for this checkpoint. Liquid AI evaluated these checkpoints with the official Decision Index 0.2.1 scorer on the public split. These are provider-reported runs, not public leaderboard submissions. The index and five areas are skill points, not percent accuracy. They remain separate from Decision Index 0.3, JevBench, and general model rankings; no private vision-split result is reported.
d1-omni-600M sits in the Liquid d1 open family with d1-3B. 6 of 665 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 7, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does d1-omni-600M perform overall in AI benchmarks?
d1-omni-600M has 6 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is d1-omni-600M open source?
d1-omni-600M is an open-weight model from LiquidAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to d1-omni-600M?
d1-omni-600M belongs to the Liquid d1 open family. Related tracked variants include d1-3B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does d1-omni-600M have full benchmark coverage on BenchLM?
No. d1-omni-600M currently has 6 source-displayable rows across 665 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of d1-omni-600M?
d1-omni-600M has a documented context window of 16384 tokens. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.