pplx-decider-v1.1-27b
enthusiastThe search company’s router, released to everyone. Perplexity Labs shipped pplx-decider-v1 on October 1, 2026 and a v1.1 refresh on October 5: a 26.1B-parameter text-classification model, Apache 2.0, on the Qwen3.5 27B backbone the rest of the week’s decision models also tune. The contract is the category’s: text in, one label out of a fixed set, confidence number attached, one forward pass, no generated tokens. GGUF builds from the community quantizers (mradermacher covers 12B-class siblings of the same wave) appeared within days.
What Perplexity needs it for tells you where decision models are going. A search engine routes every query: web search vs math vs translation vs shopping vs a clarifying question, in milliseconds, on every request, before the expensive model ever loads. Decider is that router open-sourced - the internal traffic-shape classifier became the product. For local operators the same play applies at home: query routing for a local agent stack, intent gating for voice pipelines, ticket triage for a helpdesk, all on a card that fits in 16GB in 4-bit.
Where it sits in the wave. The October decision-model flood (Clef by Cloudflare, GEV by autotrust, Torchcast 12B) landed within seven days; Decider’s v1-to-v1.1 turnaround inside the same week signals fast iteration, and the Apache license keeps it forkable. Unlike Clef it is text-only - screenshots stay with the vision-tuned members of the family.
- 26.1B
- 262k
- apache 2.0
- 🇺🇸 USA
- Oct 2026
Guides covering pplx-decider-v1.1-27b
Save your hardware and every model page answers the real question: will it run on your machine, and how fast?
Join free - save your rig →Run it locally
Per-quant memory needs and a static "can you run it?" reference - no rig entry required
The reference hardware
22 reference configs, drawn in-house. Scroll for more.
Can you run it? - reference rigs
| Rig | Q4_K_M | FP16 |
|---|---|---|
| NVIDIA Jetson Orin NX 16GB | tight | no -> cloud |
| Single GTX 1080 Ti (11GB) | offload | no -> cloud |
| 4x H100 80GB (320GB) | fast 462.8t/s | fast 138.5t/s |
| NVIDIA DGX Station 748GB | fast 276.3t/s | fast 82.7t/s |
| 8x RTX 3090 rack (192GB) | fast 258.7t/s | fast 77.4t/s |
| 4x RTX 5090 (128GB) | fast 247.6t/s | fast 74.1t/s |
| AMD Instinct MI300X (192GB) | fast 183.9t/s | fast 55.0t/s |
| 4x RTX 4090 (96GB) | fast 139.3t/s | fast 41.7t/s |
| 2x RTX 5090 (64GB) | fast 123.8t/s | fast 37.0t/s |
| 2x RTX 3090 (48GB) | fast 64.7t/s | offload |
| Single RTX 5090 (32GB) | fast 61.9t/s | offload |
| RTX PRO 6000 Blackwell (96GB) | fast 61.9t/s | ok 18.5t/s |
| Mac Studio M4 Ultra 192GB | fast 41.2t/s | ok 12.3t/s |
| Mac Studio M4 Ultra 512GB | fast 41.2t/s | ok 12.3t/s |
| Single RTX 4090 (24GB) | fast 34.8t/s | no -> cloud |
| MacBook Pro M5 Max 128GB | fast 23.1t/s | slow 6.9t/s |
| Dual EPYC 9004 + 768GB DDR5-4800 | ok 15.9t/s | slow 4.8t/s |
| DGX Spark 128GB unified | ok 9.4t/s | slow 2.8t/s |
| Ryzen AI Max+ 395 128GB | ok 8.8t/s | slow 2.7t/s |
| Jetson AGX Orin 64GB | slow 7.1t/s | slow 2.1t/s |
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 | slow 7.1t/s | slow 2.1t/s |
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 | slow 5.3t/s | slow 1.6t/s |
Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.
Download options
Or run it in the cloud
No per-token API provider pricing tracked for pplx-decider-v1.1-27b yet. For flagship list prices, see the calculator.
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.