Perplexity Labs
19 models across 4 families · Latest: pplx-decider-v1.2 (2026-10)
Developing AI for complex problem-solving.
Perplexity Labs's portfolio covers 12 active models across 3 current families, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 6 workload areas across 12 active tracked models; last verified 2026-10-20.
Use it for
- Teams evaluating rag, agents, and long context across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 12 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
12
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
6 open
6 open source / 0 open weights
Lowest output price
$1.00 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-10-16
pplx-decider-v1.2
Freshness
2026-10-20
Researched 12d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- pplx-decider-v1.2
- Latest date
- 2026-10-16
Where this lab wins
- RAG: 8 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 4 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 8 tracked models with context-token or InfiniteBench-class signal.
- Vision: 4 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
- Flagship
- pplx-embed-v1
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Perplexity Labs develops AI systems that excel at solving complex problems and reasoning tasks. Their research explores novel approaches to machine learning, knowledge representation, and reasoning, aiming to create AI that can adapt to new situations and provide intelligent solutions. For example, their AI could be applied to optimize supply chain logistics, identify potential drug interactions in pharmaceutical research, or develop strategic plans in complex business environments. Software engineers and SaaS executives can leverage Perplexity Labs' research to build AI applications that tackle complex, real-world problems and drive innovation in their respective industries.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| pplx-decider-v1.2 | 2026-10-16 | 256K | $0.02 | $0 | Apache 2.0 | Open source |
| pplx-decider-flash-v1.2 | 2026-10-16 | 256K | $0.01 | $0 | Apache 2.0 | Open source |
| pplx-embed-v2-late-0.6b | 2026-10-07 | - | - | - | MIT | Open source |
Model families
Recent releases
- pplx-decider-v1.2- 2026-10-16
- pplx-decider-flash-v1.2- 2026-10-16
- pplx-embed-v2-late-0.6b- 2026-10-07
- pplx-embed-v2-late-9b- 2026-10-07
- pplx-decider-v1.1-27b- 2026-10-06
Explore related pages
Last reviewed: 2026-10-20. Data sourced from public lab announcements and provider documentation.