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A decision method for frozen models served on vLLM: it fills typed fields from fixed choices by scoring single-token labels with the model’s existing output head. Independent fields run in parallel over a shared context. Decision Index measured it on a frozen Qwen3.8-27B.
A situational 27.78B-parameter dense decision model from kikoncuo. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| Acer Veriton GN100 AI MiniAcer | SS | 17.5 GB |
| AI TOP ATOM ATAGB10-9003Gigabyte | SS | 17.5 GB |
| AMD Instinct MI300XAMD | SS | 17.5 GB |
| AMD Instinct MI325XAMD | SS | 17.5 GB |
| AMD Instinct MI350PAMD | SS | 17.5 GB |
Cheapest current cloud rentals with at least 18 GB VRAM, refreshed hourly.
Advertising disclosure: we earn commissions when you shop through the links below.
| Option | Cost / GPU-hour |
|---|---|
NVIDIA RTX PRO 4000 BlackwellVast.ai · Spot · 24 GB VRAM | $0.11 |
NVIDIA GeForce RTX 3090Vast.ai · Spot · 24 GB VRAM | $0.11 |
NVIDIA GeForce RTX 3090Vast.ai · On-Demand · 24 GB VRAM | $0.12 |
NVIDIA RTX A5000RunPod · Community · 24 GB VRAM | $0.16 |
NVIDIA RTX 4000 AdaRunPod · Community · 20 GB VRAM | $0.20 |
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.
Explore the Provider
Aggregate stats, leaderboard, release timeline, and benchmark coverage across every kikoncuo model we track.
Check which of your devices can run this model and how fast.
Compare hosted per-token prices before you commit to local hardware.
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.
