# Perplexity Decider V1.2

Decision models · checked 2026-10-24 · https://dbggr.dev/models/pplx-decider-v1-2/

Open-weight 27B decision model on Qwen3.8-27B for typed questions about text and images

Perplexity Decider V1.2 is an open-weight decision model from Perplexity (Apache 2.0, 27B parameters): it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. It costs $0.02 per million input tokens (OpenRouter, Vercel AI Gateway), and output is free. It scores 81.7 (self-hosted; seconds are the board's estimate; not capability-ranked, as its cost is above the board's cap) on the independent JevBench Capability Score (board v1.7.46), where Jev, the reference, scores 77.1.

- Made by: Perplexity
- Weights: Open, Apache 2.0
- Size: 27B
- Where: OpenRouter, Vercel AI Gateway
- Images: Yes
- Context: 262,144 (trained on up to about 32K)
- Fine-tuning: Not stated
- Docs: https://huggingface.co/perplexity-ai/pplx-decider-v1.2

## Perplexity Decider V1.2 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 |
|---|---|---|---|---|
| OpenRouter, Vercel AI Gateway | $0.02 | Free | Output is free. Price on OpenRouter and Vercel's AI Gateway; succeeds Decider V1.1 27B. | [2026-10-24](https://huggingface.co/perplexity-ai/pplx-decider-v1.2) |

## Perplexity Decider V1.2 benchmarks

| Benchmark | Result | What it measures | Reported by |
|---|---|---|---|
| JevBench v1.7.46 | 81.7 | Capability Score: accuracy and calibration on typed decisions, with Jev as the reference system | [Independent](https://benchmarkheaven.com/jev-models) |
| JevBench time | 0.43 s | Seconds per decision: measured end to end for hosted APIs, the board's estimate for self-hosted models | [Independent](https://benchmarkheaven.com/jev-models) |
| Reported speed | 96 ms median for a Decision Index request on one GB200 | Latency on the maker's own hardware | Perplexity |

Makers' speeds are measured on their own hardware and aren't comparable with each other or with JevBench's timings.

## Decision models like Perplexity Decider V1.2

| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| Perplexity Decider V1.2 | $0.02 | 81.7 | Open |
| [d1-ultra](https://dbggr.dev/models/d1-ultra/) | $0.042 | 80.5 | Closed |
| [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 |
| [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 |
| [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 | 62.5 | 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 |
| [Elephant-1](https://dbggr.dev/models/elephant-1/) | Free | – | Open |
| [Mammoth-1](https://dbggr.dev/models/mammoth-1/) | Free | – | Open |
| [Strands Decider 2B](https://dbggr.dev/models/strands-decider-2b/) | Self-host | – | Open |

## FAQ

### How much does Perplexity Decider V1.2 cost?

Perplexity Decider V1.2 costs $0.02 per million input tokens at OpenRouter, Vercel AI Gateway. Output is free. Price on OpenRouter and Vercel's AI Gateway; succeeds Decider V1.1 27B. Checked 24 October 2026.

### Is Perplexity Decider V1.2 open weight?

Yes. Perplexity publishes the weights under Apache 2.0, so you can run and fine-tune it yourself.

### How fast is Perplexity Decider V1.2?

Perplexity reports 96 ms median for a Decision Index request on one GB200, measured on its own hardware. JevBench gives 0.43 seconds per decision, its estimate for self-hosting.

### How does Perplexity Decider V1.2 compare with Jev?

On JevBench's Capability Score (board v1.7.46), Perplexity Decider V1.2 scores 81.7 against Jev's 77.1. Jev costs $0.042 per million input tokens; Perplexity Decider V1.2 costs $0.02. JevBench is a one-person project that uses Jev as its reference, which favours cheap hosted models.