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AssemblyAI vs Perplexity: Token Pricing, Speed & Intelligence

Full comparison of AssemblyAI and Perplexity — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

AssemblyAI

Universal-2 speech-to-text with speaker diarisation and audio intelligence

AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.

TranscriptionSpeaker diarisationSentiment analysisPII redactionMeeting intelligence
Proprietary models

Perplexity

Agent API, Router API, Search API, Embeddings API — Sonar deprecated Sept 27, 2026

Perplexity has restructured its API platform in 2026. Sonar Chat Completions is now the Agent API, which provides access to third-party models (OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA) at direct provider rates with no markup. The Router API routes requests across models with per-token billing. The Search API provides real-time web retrieval billed per request. The Embeddings API offers pplx-embed-v1 models. Sonar is deprecated September 27, 2026. Check docs.perplexity.ai/docs/getting-started/pricing for current rates.

ResearchReal-time dataFact-checkingNews summarisationAgentic researchRAG pipelinesMulti-provider routing
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

AssemblyAI

Universal-2 includes speaker diarisation, sentiment, topics, and PII redaction out of the box
Audio intelligence features reduce need for post-processing pipelines
Nano tier at $0.10/hour for cost-sensitive batch transcription
LeMUR feature enables LLM-powered Q&A over transcribed audio
Speech and audio only — no general-purpose LLM or image models
Per-hour pricing model differs from token-based LLM APIs
Advanced audio intelligence features add cost on top of base transcription

Perplexity

Agent API: access OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA at direct provider rates
Search API: real-time web retrieval with advanced filtering
Router API: intelligent model routing with per-token billing at model rates
Embeddings API: pplx-embed-v1 models for semantic search and RAG
Agent API tools: web_search, fetch_url, people_search, sandbox
Sonar Deep Research for multi-step research with citations
Sonar deprecated Sept 27, 2026 — migration required
Agent API is a pass-through — no proprietary frontier model at this tier
No vision or multimodal support on Sonar models

Key differentiators

AssemblyAI

Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.

Perplexity

An API platform combining real-time web search, multi-provider model routing (OpenAI, Anthropic, Google, xAI at direct rates), and purpose-built research tools under one key.

Frequently asked questions

AssemblyAI FAQs

How is AssemblyAI priced?

AssemblyAI charges per audio hour. Universal-2 is $0.37/hour and Nano is $0.10/hour. Additional audio intelligence features (diarisation, sentiment, PII redaction) are priced separately. See assemblyai.com/pricing for current rates.

What is Universal-2?

Universal-2 is AssemblyAI's flagship transcription model with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. It is designed for meeting intelligence and call analytics use cases.

What is LeMUR?

LeMUR (Leveraging Large Language Models to Understand Recorded Audio) is an AssemblyAI feature that lets you run LLM-powered Q&A, summarisation, and action-item extraction directly over transcribed audio without building a separate pipeline.

Perplexity FAQs

What APIs does Perplexity offer in 2026?

Perplexity offers four APIs: Agent API (multi-step agentic tasks with third-party models at direct provider rates), Router API (intelligent model routing), Search API (real-time web retrieval, per-request billing), and Embeddings API (pplx-embed-v1 models). Check docs.perplexity.ai/docs/getting-started/pricing for current rates.

Is the original Sonar model still available?

No. The original Sonar Chat Completions API is deprecated as of September 27, 2026. It has been replaced by the Agent API. Migrate to the Agent API for continued access to search-augmented LLM capabilities.

What is the Perplexity Agent API?

The Agent API provides access to third-party models from OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, and NVIDIA at direct provider rates with no markup. It includes tools: web_search, fetch_url, people_search, and sandbox. Check docs.perplexity.ai for current tool rates.

Provider resources

AssemblyAI — Universal-2 speech-to-text with speaker diarisation and audio intelligence

AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.

Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.

Perplexity — Agent API, Router API, Search API, Embeddings API — Sonar deprecated Sept 27, 2026

Perplexity has restructured its API platform in 2026. Sonar Chat Completions is now the Agent API, which provides access to third-party models (OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA) at direct provider rates with no markup. The Router API routes requests across models with per-token billing. The Search API provides real-time web retrieval billed per request. The Embeddings API offers pplx-embed-v1 models. Sonar is deprecated September 27, 2026. Check docs.perplexity.ai/docs/getting-started/pricing for current rates.

An API platform combining real-time web search, multi-provider model routing (OpenAI, Anthropic, Google, xAI at direct rates), and purpose-built research tools under one key.

Key strengths compared

AssemblyAI

  • Universal-2 includes speaker diarisation, sentiment, topics, and PII redaction out of the box
  • Audio intelligence features reduce need for post-processing pipelines
  • Nano tier at $0.10/hour for cost-sensitive batch transcription
  • Speech and audio only — no general-purpose LLM or image models
  • Per-hour pricing model differs from token-based LLM APIs

Perplexity

  • Agent API: access OpenAI, Anthropic, Google, xAI, Z.AI, Moonshot AI, NVIDIA at direct provider rates
  • Search API: real-time web retrieval with advanced filtering
  • Router API: intelligent model routing with per-token billing at model rates
  • Sonar deprecated Sept 27, 2026 — migration required
  • Agent API is a pass-through — no proprietary frontier model at this tier

Key weaknesses compared

AssemblyAI

  • Speech and audio only — no general-purpose LLM or image models
  • Per-hour pricing model differs from token-based LLM APIs
  • Advanced audio intelligence features add cost on top of base transcription

Perplexity

  • Sonar deprecated Sept 27, 2026 — migration required
  • Agent API is a pass-through — no proprietary frontier model at this tier
  • No vision or multimodal support on Sonar models

Provider category context

AssemblyAI is a frontier lab, founded in 2017. Perplexity is a inference api, founded in 2022. AssemblyAI as a frontier lab trains and serves its own proprietary models. Perplexity as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose AssemblyAI if you need Meeting intelligence. Choose Perplexity if you need agent api: access openai, anthropic, google, xai, z.ai, moonshot ai, nvidia at direct provider rates. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.