Official @perplexity_ai developer account for real-time API updates.

Joined March 2025
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pplx-decider-v1.2 is the highest scoring decision model on ClaimBench. Try pplx-decider-v1.2 and pplx-decider-flash-v1.2 on OpenRouter or Perplexity API Console. pplx.ai/openrouter-v1.2
Today we’re releasing ClaimBench, our new benchmark targeted towards decision models. It tests whether a model can tell if a financial document supports, contradicts, or doesn’t address a claim. We evaluated 15 models on 1,960 claims paired with 10-K excerpts, with Decider V1.2 leading the pack of decision models.
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pplx-decider-v1.2 (27B) and pplx-decider-flash-v1.2 (4B) are now available on OpenRouter.
Perplexity Decider v1.2 and Decider Flash v1.2 are now on OpenRouter @perplexity_ai's open-weights decision models take text or images and return typed answers with probabilities - Decider v1.2: a new 27B checkpoint, succeeding v1.1 - Decider Flash v1.2: 4B, faster and half the cost openrouter.ai/perplexity/ppl… openrouter.ai/perplexity/ppl…
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pplx-decider-v1.2 ranks #2 overall on the Hugging Face Decision Index. Open weights for both models are available to run on your own infrastructure. huggingface.co/perplexity-ai… huggingface.co/perplexity-ai…
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pplx-decider-v1.2 is the 27B default for nuanced decisions at $0.02 per million input tokens. pplx-decider-flash-v1.2 is for high-volume decisions with clear criteria like routing, labeling, and filtering, at half the price. pplx.ai/decisions-pricing
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Our next generation of open weights multimodal decision models comes in two sizes, pplx-decider-v1.2 and pplx-decider-flash-v1.2. Text and vision scores improve. Inference is up to 5x faster: all questions in a request run in one pass. Flash is the top 4B on the Decision Index.
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Perplexity is now available in Lovable to give users real-time answers from the web, with citations.
Lovable
@LovableOct 15
If your app doesn’t have AI features you’re ngmi We made them simple to build: just ask Lovable. Now powered by even more models from @claudeai, @firecrawl, @GeminiApp, @OpenAI, @perplexity_ai, @p0, and @typesafeai.
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The Decisions API accepts text and image inputs. Our new cookbook builds a browser agent that sends a screenshot and questions to pplx-decider-v1.1-27b. Your code turns the returned probabilities into clicks, scrolls, and stops. pplx.ai/decisions-browser
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pplx-decider-v1.1-27b scores the highest on Decision Bench for accuracy, with the lowest cost. It reached 94.5% accuracy across 1071 cases at $0.017 per 1,000 decisions. Full evaluation: decisionbench.ai/ Get Started: pplx.ai/decisions
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pplx-decider-v1.1-27b is now available on OpenRouter.
Perplexity Decider v1.1 is now on OpenRouter @perplexity_ai's open-weights multimodal decision model takes text, JSON, or images and returns typed answers with probabilities $0.02/M input. Output is free openrouter.ai/perplexity/ppl…
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pplx-decider-v1.1-27b, our updated open weights multimodal decision model, is now available. It scores the highest on the new @huggingface Decision Index 0.3 benchmark. pplx-decider-v1.1-27b costs half as much as v1, at $0.02 per million input tokens. huggingface.co/spaces/multim…
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We're looking forward to working with the new @NVIDIA Vera CPU on SPACE.
It was great to have the @NVIDIA team stop by and drop off their new Vera CPU. A lot of what we’re building depends on agents being able to run more capable code environments, safely and reliably. We’re excited to test this work on Vera.
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You can use pplx-decider-v1-27b to triage customer support tickets, then route escalations to the Agent API. Our cookbook shows how to build the workflow, using the Decisions API for the initial decision and the Agent API for escalated requests. docs.perplexity.ai/docs/cook…
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Introducing the Perplexity Decisions API. It's powered by pplx-decider-v1-27b, our multimodal decision model trained to output a probability distribution over a fixed set of answers instead of text. It costs $0.04/million input tokens and scores 85.71% across benchmarks.
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Fast Search is now the default search in Hermes Agent for Nous Portal subscribers. It’s built for agentic tasks, with single-search-call latency of 160 ms at p50 and 230 ms at p95. Learn more: pplx.ai/hermes-fast-search
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Fast Search is now available at $1 per 1,000 requests. It delivers low-latency web search with the lowest cost per task among other search APIs. Start building with Fast Search: pplx.ai/fast-search-api
Introducing Fast Search in the Perplexity Search API. Fast Search runs on Photon, our new Rust-based retrieval and ranking service that we built with a small team of engineers and hundreds of agents. It returns 95% of search results in 230 ms or less.
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Search SDK extracts query-relevant passages from URLs you provide. Your agent can use those passages instead of full pages, keeping unrelated content out of the model context. Install the Search SDK Agent Skill in your coding agent: pplx.ai/srch-sdk-agent-skill
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A new Perplexity Search SDK cookbook is live. The recipe fans out focused searches, filters results to official docs, extracts relevant passages, and writes a source-linked brief for your coding agent. Get started: pplx.ai/pplx-srch-sdk
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