Model tracker / Decision models / Liquid AI
d1-omni-600M (experimental)
d1-omni-600M (experimental) is an open-weight decision model from Liquid AI (LFM Open License v1.0, 587M 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. It scores 32.8 (self-hosted; seconds are the board's estimate) on the independent JevBench Capability Score (board v1.7.46), where Jev, the reference, scores 77.1.
- Made by
- Liquid AI
- Weights
- Open, LFM Open License v1.0
- Size
- 587M
- Where
- Self-host only
- Images
- Yes
- Context
- 16,384
d1-omni-600M (experimental) 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 | – | – | 2026-10-14 |
d1-omni-600M (experimental) benchmarks
| Benchmark | Result | What it measures | Reported by |
|---|---|---|---|
| JevBench v1.7.46 | 32.8 | Capability Score: accuracy and calibration on typed decisions, with Jev as the reference system | Independent |
| JevBench time | 0.19 s | Seconds per decision: measured end to end for hosted APIs, the board's estimate for self-hosted models | Independent |
Makers' speeds are measured on their own hardware and aren't comparable with each other or with JevBench's timings.
Decision models like d1-omni-600M (experimental)
Every other decision model we track, by independent JevBench score.
| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| d1-omni-600M (experimental) | Self-host | 32.8 | Open |
| Jev 1.13 TypeSafe AI | $0.042 | 77.1 | Closed |
| Clef Cloudflare | $0.24 | 75.3 | Open |
| d1 Liquid AI | $0.04 | 74.4 | Closed |
| OpenAI Decisions (GPT-6 Luna) OpenAI | $0.10 | 73.5 | Closed |
| Microsoft-Decision-1 Microsoft | $0.042 | 70.8 | Closed |
| Clef-flash Cloudflare | $0.038 | 63.8 | Open |
| Clef-omni Cloudflare | $0.15 | 58.3 | Open |
| d1-3B Liquid AI | Self-host | 49.5 | Open |
| Laya Convai Innovations | Free | 32.5 | Open |
| CLM-8B Stanford and NVIDIA | Self-host | 20.1 | Open |
| Strands Decider 2B AWS Strands Labs | Self-host | – | Open |
Compare them all in the decision models table →
d1-omni-600M (experimental) on dbggr
- Microsoft enters decision models at Jev's price as TypeSafe raises $870M Daily, 2026-10-09
- Claude Haiku 5.5 launches at $0.10 per million tokens, matching GPT-6 Luna Daily, 2026-10-07
d1-omni-600M (experimental) FAQ
How much does d1-omni-600M (experimental) cost?
d1-omni-600M (experimental) has no hosted, per-token price: you download it and run it yourself, so the cost is your own compute.
Is d1-omni-600M (experimental) 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-omni-600M (experimental)?
Liquid AI doesn't publish a latency figure. JevBench gives 0.19 seconds per decision, its estimate for self-hosting.
How does d1-omni-600M (experimental) compare with Jev?
On JevBench's Capability Score (board v1.7.46), d1-omni-600M (experimental) scores 32.8 against Jev's 77.1. Jev costs $0.042 per million input tokens; d1-omni-600M (experimental) is self-host only. JevBench is a one-person project that uses Jev as its reference, which favours cheap hosted models.