Liquid AIDecision modelOpen weights
d1-Omni-2B
Summary
d1-Omni-2B accepts text, images, video, and audio and returns typed, calibrated answers in one forward pass. It has about 2.17 billion parameters and builds on LFM3-Omni-2B. This supports structured decisions over spoken and visual input.
The model card lists its shared decision and vision table, additional audio tests with written and heard questions, and hardware latency separately. The audio tests use distinct tasks and should not be conflated with similarly named rows in the main table. Results are publisher-reported and have not been independently reproduced.
All benchmark results
Every published result with its source, test setup and comparison models.
Show all 67 published benchmark results
Page 1 of 6
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Decision Index public suite (v0.3) (Show measurement, test conditions, and source)
- Source value
- 49
- Score
- 49
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
DecisionBench (Hanno Labs) v1 (Show measurement, test conditions, and source)
- Source value
- 76.4
- Score
- 76.4
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
Decision Bench (decisionbench.ai) v4 (Show measurement, test conditions, and source)
- Source value
- 84.7
- Score
- 84.7
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
Fast Decisions (Show measurement, test conditions, and source)
- Source value
- 56.8
- Score
- 56.8
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
JevBench v1.4.1 (Show measurement, test conditions, and source)
- Source value
- 75.3
- Score
- 75.3
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
ImajevBench v2.0-lite (Show measurement, test conditions, and source)
- Source value
- 72.3
- Score
- 72.3
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
WorkflowEvals (Show measurement, test conditions, and source)
- Source value
- 77.1
- Score
- 77.1
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
Typed Decisions (Show measurement, test conditions, and source)
- Source value
- 63.1
- Score
- 63.1
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
Our board (over a hundred public and private benchmarks) (Show measurement, test conditions, and source)
- Source value
- 61.8
- Score
- 61.8
- Metric
- percent
- Unit
- %
- Category
- Decisions
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Publisher’s internal board evaluation across more than 100 public and private benchmarks. Part of the dataset is private, so the aggregate is not fully independently reproducible.
AI2D (Show measurement, test conditions, and source)
- Source value
- 71.5
- Score
- 71.5
- Metric
- percent
- Unit
- %
- Category
- Vision
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
BLINK (Show measurement, test conditions, and source)
- Source value
- 63.5
- Score
- 63.5
- Metric
- percent
- Unit
- %
- Category
- Vision
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
CountQA (Show measurement, test conditions, and source)
- Source value
- 45.4
- Score
- 45.4
- Metric
- percent
- Unit
- %
- Category
- Vision
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426
- Status
- active
- Retrieved at
- 2026-10-29
- Methodology
- Vendor-reported result. Liquid AI comparison table; value is from the d1-Omni 2B column. Liquid AI decision-model card; one-pass typed decisions, no generated output tokens. Public scores are manufacturer-reported; image suites use at most 1,000 rows per benchmark.
- Context
- Manufacturer-reported; these sources do not provide an independent reproduction of this result.
Page 1 of 6
All specifications
Architecture
- Architecture
- Dense LFM3-Omni architecture with 24 layers: 13 gated short convolutions, 5 sliding-window attention layers, and 6 global attention layers, plus vision and audio encoders.
- Source: Architecture
Input and output
- Output modalities
- Typed, calibrated answers in one forward pass, with no generated output tokens
- Source: Output modalities
Licence and access
- Access
- Open weights for local deployment. Publisher documentation lists d1-Omni-2B as a local open-weight model.
- Source: Access
Further details
- Backbone
- Built on LFM3-Omni-2B. Results for the underlying generative model are not transferred to d1-Omni-2B.
- Source: Backbone
- Answer types
- Returns structured answers in one pass and supports spoken questions along with choices, text, numbers, dates, boxes, and intervals.
- Source: Answer types
- Deployment
- Official decision-model documentation distinguishes local open-weight d1 models from hosted d1.1 and d1-ultra API models.
- Source: Deployment
Sources and data date
Show all 10 sources
Benchmark sources at a glance
Which independent evaluators tested this model. This is coverage, not a quality ranking.
No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.
Without vendor claims and historical or disputed results; those stay labelled in the single values.
| Type | Evidence and data date |
|---|---|
| Research status | Research date October 29, 2026. 61 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | Technical paper or report Note The model card cites blog posts but does not link a separate technical report or research paper. |
| Not found in the inspected sources | Independent evaluation Note The reviewed manufacturer sources do not link an independent reproduction of these d1 results. |
| Unresolved | Additional latency methodology Note The card specifies warm-up, bfloat16, 20 measurements and a best-of-three selection for H100 and M5 Pro. The aggregation for MI325X is not separately described. |
| Not found in the inspected sources | Vals rows in captured payloads Note Nine complete Vals payloads dated 28 October were checked; no exact model ID or unambiguous model label. Limited to these saved benchmarks. |
| Unresolved | Uncaptured Arena Code/Speech leaderboards Note Text, Agent including Code/Chat/Work, and twelve WebDev views were captured. A separate general Code and Arena Speech leaderboard were not saved as complete tables. |
| Unresolved | Artificial Analysis catalog reconciliation Note The full current AA model and benchmark catalog was not re-reconciled for this profile in this sidecar. This sidecar makes no AA absence claim; native AA imports remain authoritative. |
| Additional source | LiquidAI/d1-Omni-2B model card at pinned revision c8d48c08dada0191c6b362820f055cfb49c99426 (retrieved October 29, 2026) · d1-Omni-2B model card · Editorial description reviewed October 29, 2026 |
| Additional source | Liquid AI LFM3 release announcement (retrieved October 29, 2026) · Liquid AI LFM3 release announcement · Editorial description reviewed October 29, 2026 |
| Additional source | Liquid AI model documentation (retrieved October 29, 2026) · Liquid AI decision models documentation · Editorial description reviewed October 29, 2026 |
| Additional source | Liquid AI LFM3 Hugging Face collection (retrieved October 29, 2026) |
| Additional source | Hugging Face model metadata (retrieved October 29, 2026) |
| Additional source | LiquidAI/d1-omni-2B official model card at revision c8d48c08dada0191c6b362820f055cfb49c99426 (retrieved October 29, 2026) |
| Additional source | Model metadata (retrieved October 29, 2026) · Liquid AI decision models documentation · Editorial description reviewed October 29, 2026 |
| Additional source | Model metadata (retrieved October 29, 2026)123 |