# Kev-9B

Decision models · checked 2026-10-25 · https://dbggr.dev/models/kev-9b/

Open-weight 9B decision model on Qwen3.5 with Jev's API, for a bigger GPU

Kev-9B is an open-weight decision model from Jared Palmer (Apache 2.0, plus training code and eval suites, 9B, a LoRA adapter on Qwen3.5-9B-Base 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: Jared Palmer
- Weights: Open, Apache 2.0, plus training code and eval suites
- Size: 9B, a LoRA adapter on Qwen3.5-9B-Base
- Where: Self-host only
- Images: No, text only
- Context: 65,536 (accuracy validated to 8,192)
- Fine-tuning: Full recipe and a fine-tuning skill for coding agents published
- Docs: https://github.com/jaredpalmer/kev

## Kev-9B 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 | – | – | [2026-10-25](https://huggingface.co/jaredpalmer/kev-9b) |

## Kev-9B speed

| Measure | Result | Reported by |
|---|---|---|
| Reported speed | 24.0 ms model time for six questions on an H100 | Jared Palmer |

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

## Decision models like Kev-9B

| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| Kev-9B | 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 |
| [Kev-0.8B](https://dbggr.dev/models/kev-0-8b/) | Self-host | – | Open |
| [Kev-4B](https://dbggr.dev/models/kev-4b/) | Self-host | – | Open |
| [Strands Decider 2B](https://dbggr.dev/models/strands-decider-2b/) | Self-host | – | Open |

## FAQ

### How much does Kev-9B cost?

Kev-9B has no hosted, per-token price: you download it and run it yourself, so the cost is your own compute.

### Is Kev-9B open weight?

Yes. Jared Palmer publishes the weights under Apache 2.0, plus training code and eval suites, so you can run and fine-tune it yourself.

### How fast is Kev-9B?

Jared Palmer reports 24.0 ms model time for six questions on an H100, measured on its own hardware.

### How does Kev-9B compare with Jev?

JevBench doesn't list Kev-9B yet, so there's no independent comparison. Jev costs $0.042 per million input tokens; Kev-9B is self-host only.