# d1-2B

Decision models · checked 2026-10-28 · https://dbggr.dev/models/d1-2b/

Open-weight 2B decision model on LFM3-VL for typed answers about text, images and video

d1-2B is an open-weight decision model from Liquid AI (LFM Open License v1.0, 1.92B parameters): it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. There's no hosted version: you run it on your own hardware. JevBench, the main independent benchmark, doesn't list it yet.

- Made by: Liquid AI
- Weights: Open, LFM Open License v1.0
- Size: 1.92B
- Where: Self-host only
- Images: Yes
- Context: 128K
- Fine-tuning: Fine-tunes on a single GPU (Liquid AI)
- Docs: https://docs.liquid.ai/lfm/models/d1-2b

## d1-2B price

US dollars per million input tokens. Decision models don't write text, so none of the hosted ones charge for output.

| Where | Input | Output | Notes | Checked |
|---|---|---|---|---|
| Self-host only | Self-host | – | – | [2026-10-28](https://huggingface.co/LiquidAI/d1-2B) |

## d1-2B speed

| Measure | Result | Reported by |
|---|---|---|
| Reported speed | 5.7 ms a decision on an NVIDIA H100, 3.8 ms on an AMD MI325X | Liquid AI |

Measured by the maker on its own hardware; JevBench doesn't list this model yet.

## Decision models like d1-2B

| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| d1-2B | Self-host | – | Open |
| [Mammoth-1](https://dbggr.dev/models/mammoth-1/) | Free | 85.2 | Open |
| [Perplexity Decider V1.2](https://dbggr.dev/models/pplx-decider-v1-2/) | $0.02 | 80.8 | Open |
| [d1-ultra](https://dbggr.dev/models/d1-ultra/) | $0.042 | 80.5 | Closed |
| [Kev-27B](https://dbggr.dev/models/kev-27b/) | Self-host | 78.9 | Open |
| [Clef](https://dbggr.dev/models/clef/) | $0.24 | 75.3 | Open |
| [Jev 1.14](https://dbggr.dev/models/jev/) | $0.042 | 75.0 | Closed |
| [d1](https://dbggr.dev/models/d1/) | $0.02 | 74.4 | Closed |
| [Mercury Decide](https://dbggr.dev/models/mercury-decide/) | $0.02 | 73.6 | Closed |
| [OpenAI Decisions (GPT-6 Luna)](https://dbggr.dev/models/openai-decisions/) | $0.10 | 73.5 | Closed |
| [Microsoft-Decision-1](https://dbggr.dev/models/microsoft-decision-1/) | $0.042 | 70.8 | Closed |
| [Elephant-1](https://dbggr.dev/models/elephant-1/) | Free | 70.2 | Open |
| [Strands Decider 26B-A4B](https://dbggr.dev/models/strands-decider-26b-a4b/) | Self-host | 66.7 | Open |
| [Clef-flash](https://dbggr.dev/models/clef-flash/) | $0.038 | 63.8 | Open |
| [Perplexity Decider Flash V1.2](https://dbggr.dev/models/pplx-decider-flash-v1-2/) | $0.01 | 61.7 | Open |
| [Clef-omni](https://dbggr.dev/models/clef-omni/) | $0.15 | 58.3 | Open |
| [d1-3B](https://dbggr.dev/models/d1-3b/) | Self-host | 49.5 | Open |
| [d1-omni-600M (experimental)](https://dbggr.dev/models/d1-omni-600m/) | Self-host | 32.8 | Open |
| [Laya](https://dbggr.dev/models/laya/) | Free | 32.5 | Open |
| [CLM-8B](https://dbggr.dev/models/clm-8b/) | Self-host | 20.1 | Open |
| [Clairic](https://dbggr.dev/models/clairic/) | $0.10 | – | Closed |
| [d1-omni-2B](https://dbggr.dev/models/d1-omni-2b/) | Self-host | – | Open |
| [Kev-0.8B](https://dbggr.dev/models/kev-0-8b/) | Self-host | – | Open |
| [Kev-4B](https://dbggr.dev/models/kev-4b/) | Self-host | – | Open |
| [Kev-9B](https://dbggr.dev/models/kev-9b/) | Self-host | – | Open |
| [Strands Decider 12B](https://dbggr.dev/models/strands-decider-12b/) | Self-host | – | Open |
| [Strands Decider 2B](https://dbggr.dev/models/strands-decider-2b/) | Self-host | – | Open |
| [Strands Decider E2B](https://dbggr.dev/models/strands-decider-e2b/) | Self-host | – | Open |
| [Strands Decider E4B](https://dbggr.dev/models/strands-decider-e4b/) | Self-host | – | Open |

## FAQ

### How much does d1-2B cost?

d1-2B has no hosted, per-token price: you download it and run it yourself, so the cost is your own compute.

### Is d1-2B open weight?

Yes. Liquid AI publishes the weights under LFM Open License v1.0, so you can run and fine-tune it yourself.

### How fast is d1-2B?

Liquid AI reports 5.7 ms a decision on an NVIDIA H100, 3.8 ms on an AMD MI325X, measured on its own hardware.

### How does d1-2B compare with Jev?

JevBench doesn't list d1-2B yet, so there's no independent comparison. Jev costs $0.042 per million input tokens; d1-2B is self-host only.