D1 Omni 600M
Oct 2026
D1 Omni 600MCompare inonCommunity Decision Index 0.4.1
—per task?
self-host onlyprice
—output speed?
16Kcontext
Alternatives?
ModelScoreCostPer taskWhat changes
bBettermammoth-1 (27B)Open×5.9—$0 / —Memory (4-bit): 0.4 GB → 16 GB+1bOpenelephant-1 (9B)×5.1—$0 / —Memory (4-bit): 0.4 GB → 5.5 GB+1
BetterDecider v1.2Open×5.8—$0.02 / —Memory (4-bit): 0.4 GB → 15 GBABetterAutoTrust-JEV-27B v1.1Open×5.8——Memory (4-bit): 0.4 GB → 16 GB+1SBetterStartLux-Decision v1.1 27BOpen×5.8——Memory (4-bit): 0.4 GB → 16 GBModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
bmammoth-1 (27B)Open×5.9—$0 / —Memory (4-bit): 0.4 GB → 16 GB+1Decider v1.2Open×5.8—$0.02 / —Memory (4-bit): 0.4 GB → 15 GBAAutoTrust-JEV-27B v1.1Open×5.8——Memory (4-bit): 0.4 GB → 16 GB+1SStartLux-Decision v1.1 27BOpen×5.8——Memory (4-bit): 0.4 GB → 16 GBvD3 TurboOpen×5.7——Memory (4-bit): 0.4 GB → 15 GBModelScoreCostPer taskWhat changes
belephant-1 (9B)Open×5.1—$0 / —Memory (4-bit): 0.4 GB → 5.5 GB+1Decider Flash v1.2Open×4.6—$0.01 / —Memory (4-bit): 0.4 GB → 2.7 GBvD3 FlashOpen×4.6——Memory (4-bit): 0.4 GB → 4.9 GBOOneJev1.6 9BOpen×4.5——Memory (4-bit): 0.4 GB → 5.5 GBFfrontier-infra Jebadiah 9B v2.1 (t1e)Open×4.3——Memory (4-bit): 0.4 GB → 5.7 GBModelScoreCostPer taskWhat changes
D1 3BOpen×2.6——Memory (4-bit): 0.4 GB → 1.9 GBD1 Ultran/a—$0.042 / —D1n/a—$0.02 / —All Liquid AI models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
Licencelfm1.0commercial use with conditions
Benchmarks
in Decision modelsFAQ
How much does D1 Omni 600M cost?›
There is no per-unit API price: self-host only.
Is D1 Omni 600M free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is D1 Omni 600M, and what is it best at?›
#90 of 99 in Decision models.
Is D1 Omni 600M better than Tev1 0.8B Experimental?›
On Community Decision Index 0.4.1, D1 Omni 600M scores 11.8 vs 12.5 — about the same.
What is the context window of D1 Omni 600M?›
16K tokens.
When was D1 Omni 600M released? Is there a newer version?›
Released 2026-10-07. It is the current version in its line.
Is D1 Omni 600M open source?›
Yes, the weights are open (lfm1.0 licence).
Can I run D1 Omni 600M locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can D1 Omni 600M read images?›
It accepts text and images, audio as input.
What is D1 Omni 600M?›
D1 Omni 600M is an open-weights language model from Liquid AI, released Oct 2026.
What are the best alternatives to D1 Omni 600M?›
mammoth-1 (27B) (better), elephant-1 (9B) (open weights).