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Aravind Srinivas · @aravind-srinivas-16051987

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X Post Oct 2026

From x.com/aravsrinivas

Perplexity Computer can now create videos using MiniMax H3 and ByteDance Seedance 2.5. Available now for Pro and Max subscribers.

We’re open sourcing a state of the art multimodal Decision Model, pplx-decider-27b, and are offering it in a new Decisions API at 4 cents per million input tokens and free output tokens.

It costs $0.04/million input tokens and scores 85.71% across benchmarks.

For financial data, Computer uses @tradingview Lightweight Charts for candlesticks, volume, and moving averages.

In October 2026 I posted on X about Perplexity’s rapid expansion, covering its Git‑forge infrastructure, benchmarking results, business metrics, and upcoming hardware roadmap.

Every Perplexity Project is a Git repo.

Fewer than 2% of submissions collide.

Agents search with plain ls and grep.

That beats semantic search 63% vs 37% on answer accuracy for financial document analysis.

valued at ~$20B with ~$2B in reported funding, $750M in annualized revenue as of August, seeing 5x YoY revenue growth as it expands from search into autonomous agents.

pplx-decider v1.1 got 643 of 669 right vs 628 for Jev, at 42% less per decision and about the same speed.

949 shared text cases: 93.9% accuracy · 534 ms median · $0.016 / 1k decisions.

We also open‑sourced the embedding model pplx‑embed‑v2‑late, a multi‑vector model for text and images (9B and 0.6B parameters) that shares a unified embedding space.