A self-hosted server that implements TypeSafe’s System One API on top of the GLiFormer large encoder, so the official TypeSafe SDK works against it. It adds no new weights. It answers Choice, Score and Noul questions and is cheaper to run than Jev, but less accurate on reasoning-heavy tasks.
A situational 0.576B-parameter dense decision model from Logan Markewich. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Newly released, so production-readiness is still being shaken out.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 0.9 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 0.9 GB |
| AMD Instinct MI300XAMD | SS | 0.9 GB |
| AMD Instinct MI325XAMD | SS | 0.9 GB |
| AMD Instinct MI355XAMD | SS | 0.9 GB |
Cheapest current cloud rentals with at least 1 GB VRAM, refreshed hourly.
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| Option | Cost / GPU-hour |
|---|---|
NVIDIA GeForce RTX 5060 TiVast.ai · Spot · 16 GB VRAM | $0.08 |
NVIDIA RTX A4000Vast.ai · Spot · 16 GB VRAM | $0.08 |
NVIDIA Tesla V100 16GBVast.ai · Spot · 16 GB VRAM | $0.09 |
NVIDIA RTX A4000Vast.ai · On-Demand · 16 GB VRAM | $0.09 |
NVIDIA GeForce RTX 5060 TiVast.ai · On-Demand · 16 GB VRAM | $0.11 |
Per-GPU rate across RunPod, the Vast.ai marketplace, DigitalOcean, and Vultr.
Spot tier is interruptible. Plan for restarts when comparing against on-demand prices.

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Aggregate stats, leaderboard, release timeline, and benchmark coverage across every Logan Markewich model we track.

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Break-even math for self-hosting, renting a GPU, or paying per token.
Live status for the hosted APIs you might use instead of running this locally.