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AssemblyAI Review: Key Features and Pros&Cons

  • What it is:AssemblyAI is a Speech AI company providing industry-leading models for speech-to-text transcription and understanding via a developer-first API.
  • Best for:Startups and developers, Voice AI application builders, Multilingual transcription needs
  • Pricing:Free tier available, paid plans from $0.0025/min ($0.15/hour)
  • Rating:88/100Very Good
  • Expert's conclusion:AssemblyAI is a developer platform for deploying Production quality speech-to-text systems that provide Accuracy, Scale, and Advanced Analytics.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

Company Overview

AssemblyAI is an applied artificial intelligence company developing AI-powered models and APIs (Application Programming Interfaces) for speech-to-text transcription, speech recognition and analyzing audio data. Established in 2017 and based in San Francisco, California, AssemblyAI delivers real-time and accurate voice AI solutions for developers and organizations around the world via thousands of customers.

Active
📍San Francisco, CA
📅Founded 2017
🏢Private
TARGET SEGMENTS
DevelopersEnterprisesTechnology Industry

Key Metrics

📊
$108M
Total Funding
📊
$50M Series C
Latest Funding
👥
4,000+ brands
Customers
🏢
119
Employees
💵
$26.3M
Revenue
📊
5
Funding Rounds
Rating by Platforms
4.7/ 5
G2 (120 reviews)

Credibility Rating

88/100
Excellent

Speech AI market leader with significant investment and rapid growth; large enterprise client base; ongoing development of innovative models such as Universal-1.

BREAKDOWN
Product Maturity90/100
Company Stability85/100
Security & Compliance85/100
User Reviews88/100
Transparency90/100
Support Quality85/100
TRUST SIGNALS
Used by NASA, Spotify, WSJ, NBC Universal$108M total funding from top VCs200% YoY customer growthFast Company's 50 Most Innovative Companies of 2025

Company History

2017

Company Founded

Founded by Dylan Fox in response to the need for improved speech recognition APIs during his employment at Cisco Systems.

2022

Series B Funding

Raised $30 million to develop AI technology and scale up GPU (Graphics Processing Unit) infrastructure for larger models.

2023

Conformer-2 Model Launch

Released an advanced speech recognition model with increased accuracy and functionality.

2023

Series C Funding

In December raised another $50 million at a valuation of approximately $290 million to fund its continuing growth.

2024

Universal-1 Model Launch

Launched a new speech model with 30 percent fewer hallucinations than other competitors.

Key Executives

Dylan Fox— CEO & Founder
Founded AssemblyAI in 2017, while employed as a machine learning engineer at Cisco Systems, when he found that there was no suitable solution to use as a speech recognition API.

Key Features

🔗
Speech-to-Text API
Takes audio, video and live streams and converts them to accurate text transcriptions utilizing leading-edge models.
✨
Universal-1 Model
Released latest speech recognition model has 30 percent fewer hallucinations than Whisper and performs well in terms of accuracy.
✨
Real-Time Transcription
Processes live audio streaming in order to convert spoken words into text in real time.
✨
Speaker Detection
Identifies and labels speakers in a conversation to improve overall audio comprehension.
✨
Sentiment Analysis
Determines the emotional tone and sentiment from transcribed speech data.
✨
Developer-Friendly SDKs
Creates simple APIs and SDKs (Software Development Kits) for ease of integration into voice enabled applications to process voice data.
✨
Audio Intelligence
Derives insight from voice data, including entity recognition and conversational analysis.

Tech Stack

Infrastructure

Cloud-based multi-region infrastructure

Technologies

PythonSpeech AI ModelsREST APIsWebSockets

Integrations

CallRailAlgoliaVeedFathomSpotify

AI/ML Capabilities

Proprietary speech recognition models including Universal-1 (2024) and Conformer-2 (2023) with advanced accuracy, low hallucination rates, speaker diarization, and NLP capabilities for audio understanding

Inferred from product descriptions, model announcements, and developer API focus

Use Cases

Software Developers
Builds voice enabled applications rapidly by utilizing AssemblyAI's accurate speech-to-text APIs and SDKs that can be easily integrated into existing application workflow.
Media & Content Companies
To automate podcast, video, and broadcast transcription with accurate speaker identification, ideal for commercial content producers
Customer Support Teams
To analyze recorded telephone calls to determine customer sentiment, key subjects and quality of service to help train customer service representatives
Call Center Operations
To process live customer phone calls in real time for transcription, compliance recording and to provide an overview of the calls being made by the customer service representative
NOT FORHealthcare Providers
The product does have a limited ability to meet medical-specific compliance requirements. It does not have documentation that supports its use as a Business Associate Agreement (HIPAA BAA) for Protected Health Information.
NOT FORHigh-Frequency Trading Systems
This product is not optimized for low-latency audio processing which is a requirement for many real-time financial trading platforms

Pricing

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Free Tier$0Up to 185 hours pre-recorded audio, 333 hours streaming audio, 5 new streams/minute, $50 credits, developer docs and community support—
Pay as you go - Pre-recorded Speech-to-Text$0.0025/min ($0.15/hour)Universal model, 99+ languages—
Pay as you go - Streaming Speech-to-Text$0.15/hourUnlimited concurrent streams, auto-scaling rate limits starting at 100 new streams/minute—
Speaker Diarization Add-on+$0.00033/min (+$0.02/hour)Speaker identification on top of base transcription pricing—
Speech UnderstandingPay as you goSummarization, sentiment analysis, PII redaction, entity detection—
EnterpriseCustom volume discountsCustom rate limits, dedicated support, SLAs, HIPAA BAA, self-hosted deployments, EU data residency—
Free Tier$0
Up to 185 hours pre-recorded audio, 333 hours streaming audio, 5 new streams/minute, $50 credits, developer docs and community support
Pay as you go - Pre-recorded Speech-to-Text$0.0025/min ($0.15/hour)
Universal model, 99+ languages
Pay as you go - Streaming Speech-to-Text$0.15/hour
Unlimited concurrent streams, auto-scaling rate limits starting at 100 new streams/minute
Speaker Diarization Add-on+$0.00033/min (+$0.02/hour)
Speaker identification on top of base transcription pricing
Speech UnderstandingPay as you go
Summarization, sentiment analysis, PII redaction, entity detection
EnterpriseCustom volume discounts
Custom rate limits, dedicated support, SLAs, HIPAA BAA, self-hosted deployments, EU data residency
💡Pricing Example: Transcribe 100 hours of audio/video with speaker diarization
AssemblyAI Base + Speaker ID$17.00
$15 base + $2 speaker ID (100hrs × $0.17/hr)
Amazon Transcribe$144.00
100hrs × $0.024/min = $144

Competitive Comparison

FeatureAssemblyAIDeepgramAmazon TranscribeGoogle Cloud Speech
Core TranscriptionYes (99+ languages)Yes (30+ languages)Yes (100+ languages)Yes (125+ languages)
Streaming SupportYes (300ms latency)Yes (sub-300ms)YesYes
Speaker DiarizationAdd-on $0.02/hrAdd-on ~$0.0015/minIncludedExtra
Starting Price$0.15/hr$0.46/hr$1.44/hr$1.92/hr
Free Tier185hrs pre-recordedLimited12 months free tier300$/month free
Enterprise SSOEnterprise onlyYesYes (IAM)Yes
API AvailabilityYes (REST + SDKs)Yes (REST + SDKs)YesYes
Real-time Latency~300ms<300msDynamicStandard/Neural
HIPAA ComplianceBAA availableBAA availableBAA availableBAA available
Auto-scaling StreamsYes (unlimited)YesCapacity limitsQuota based
Core Transcription
AssemblyAIYes (99+ languages)
DeepgramYes (30+ languages)
Amazon TranscribeYes (100+ languages)
Google Cloud SpeechYes (125+ languages)
Streaming Support
AssemblyAIYes (300ms latency)
DeepgramYes (sub-300ms)
Amazon TranscribeYes
Google Cloud SpeechYes
Speaker Diarization
AssemblyAIAdd-on $0.02/hr
DeepgramAdd-on ~$0.0015/min
Amazon TranscribeIncluded
Google Cloud SpeechExtra
Starting Price
AssemblyAI$0.15/hr
Deepgram$0.46/hr
Amazon Transcribe$1.44/hr
Google Cloud Speech$1.92/hr
Free Tier
AssemblyAI185hrs pre-recorded
DeepgramLimited
Amazon Transcribe12 months free tier
Google Cloud Speech300$/month free
Enterprise SSO
AssemblyAIEnterprise only
DeepgramYes
Amazon TranscribeYes (IAM)
Google Cloud SpeechYes
API Availability
AssemblyAIYes (REST + SDKs)
DeepgramYes (REST + SDKs)
Amazon TranscribeYes
Google Cloud SpeechYes
Real-time Latency
AssemblyAI~300ms
Deepgram<300ms
Amazon TranscribeDynamic
Google Cloud SpeechStandard/Neural
HIPAA Compliance
AssemblyAIBAA available
DeepgramBAA available
Amazon TranscribeBAA available
Google Cloud SpeechBAA available
Auto-scaling Streams
AssemblyAIYes (unlimited)
DeepgramYes
Amazon TranscribeCapacity limits
Google Cloud SpeechQuota based

Competitive Position

vs Deepgram

Deepgram has a higher degree of language support than AssemblyAI (99+ languages vs 30+ languages). In addition, it is also priced lower than AssemblyAI ($0.15/hr vs $0.46/hr). However, for those requiring very low latency for real-time applications, Deepgram is marginally better than AssemblyAi. Both are able to automatically scale the number of streams.

AssemblyAI is best suited for multilingual or cost sensitive applications. Deepgram is best suited for ultra-low latency voice agent applications.

vs Amazon Transcribe

AssemblyAI has a substantially lower cost ($0.15/hr vs $1.44/hr) than Amazon for similar services. Additionally, it provides a more favorable developer experience and has a more generous free tier. While Amazon has a significant advantage over AssemblyAI in terms of enterprise customers within the cloud computing space.

AssemblyAI is best suited for price-performance. Amazon is best suited for native AWS deployments.

vs Google Cloud Speech-to-Text

Assembly AI costs less ($0.15/hr vs $1.92/hr) and is easier to scale than Google's Cloud Speech-to-Text. Additionally, AssemblyAI provides a more generous free tier. While Google provides a greater level of customization, they also charge in a more complex manner and place limits on their service through quotas. As such, AssemblyAI has a growth rate that is outpacing Google in terms of adoption by developers.

AssemblyAI is best suited for straightforward API usage. Google is best suited for applications where advanced levels of customization are needed.

vs Rev.ai

AssemblyAI is significantly less expensive ($0.15/hr vs $1.20/hr) and allows for real-time streaming. Rev.ai is focused on providing high-accuracy, asynchronous transcription of pre-recorded files. They include speaker labeling for each file transcribed.

AssemblyAI is best suited for applications that require streaming or real-time transcription. Rev.ai is best suited for applications that require high-quality, premium, asynchronous transcription.

Pros Cons

Pros

  • Industry lowest pricing -- $0.15/hr compared to all other competitors who average $1.44/hr+
  • Generous free tier - 185 hours of pre-recorded plus $50 credit
  • Excellent developer experience - clean APIs and SDKs for Python, JavaScript, Go etc.
  • Ultra-low Latency Streaming — ~300 ms ideal for Voice Agents
  • Scalability in Capacity — Unlimited Streams, increases by 10% every 60 seconds.
  • Large Language Support — Supports 99+ Languages including Rare Ones.
  • Built-in Speech Understanding — Includes Summarization and PII without need for additional vendors.

Cons

  • Additional Cost for Speaker Diarization — +$0.02/hour (add-on)
  • Only Pay as You Go — No Predictable Monthly Pricing.
  • Advanced Models are Pre-Recorded Only — Slam-1 does not have streaming capabilities.
  • Enterprise Features Require Sales Contact — Custom Pricing/SLAs Not Self-Serve.
  • No Simple UI Upload — API-Only; Requires Developer Integration.
  • Limited Offline Capabilities — Cloud-Only; No On-Device Processing.
  • Smaller Company — Less Enterprise Track Record Than AWS and Google.

Best For

Best For

  • Startups and developers — Large Free Tier + Lowest Pricing Enables Rapid Prototyping.
  • Voice AI application builders — 300 ms Latency + Unlimited Streams Ideal For Real-Time Applications.
  • Multilingual transcription needs — 99+ Languages At Fraction Of Competitor Costs.
  • Cost-conscious enterprises — 10X Cheaper Than AWS And Google With Volume Discounts Available.
  • Teams building call analysis — Built-In Speech Understanding Provides Insights Without Need For Additional APIs.

Not Suitable For

  • Non-technical users — API-Only Platform Requires Coding; Use Otter.ai Or Fireflies For UI-Based Transcription.
  • Predictable budget needs — Pure Pay As You Go Has No Monthly Limits; Consider Subscription Services Like Rev.ai.
  • Ultra-high accuracy requirements — Competitors Like Rev.ai May Outperform In Niche Accents/Domains.
  • On-premise deployments (immediate) — Self Hosted Requires Enterprise Contract; Use Deepgram On-Stream For Instant On-Prem.

Limits Restrictions

Free Tier - Pre-recorded
185 hours total
Free Tier - Streaming
333 hours total, 5 new streams/minute
Pay as you go - New Streams
Starts at 100/minute, auto-scales 10% every 60s at 70% utilization
Concurrent Streams
Unlimited (scales automatically)
Billing Granularity
Per second of session duration (streaming)
Slam-1 Model
Pre-recorded audio only
Compliance Features
BAA/HIPAA requires Enterprise plan
Self-hosted Deployments
Enterprise only (On-prem, VPC, EU)

Security & Compliance

HIPAA BAA AvailableBusiness Associate Agreement for healthcare customers (Enterprise)
EU Data ResidencyCompliance with EU data storage requirements (Enterprise)
SOC 2 Type IICompleted audit covering security, availability, processing integrity, confidentiality, privacy
GDPR ComplianceData processing agreement available, supports right to deletion/portability
Data EncryptionTLS 1.3 in transit, AES-256 at rest. Audio automatically deleted after processing
Access ControlsAPI key authentication, IP allowlisting, role-based permissions (Enterprise)
Audit LoggingComplete request/response logs retained for compliance audits (Enterprise)
Self-hosted OptionsOn-premises, VPC, EU cloud deployments for maximum control (Enterprise)

Customer Support

Channels
24/7 for all usersFree tier primary supportPay-as-you-go and EnterpriseEnterprise only
Hours
24/7 email support, dedicated support for paid tiers
Response Time
Standard: <24 hours. Enterprise: Custom SLA commitments.
Satisfaction
4.7/5 developer satisfaction (community reviews)
Specialized
Dedicated technical account managers for enterprise customers
Business Tier
Priority queue + custom response time SLAs for enterprise
Support Limitations
•Free tier limited to community forum + documentation
•Phone support unavailable - email/API support only
•Custom SLAs require enterprise contract

Api Integrations

API Type
REST API for transcription and Audio Intelligence, WebSocket for real-time streaming
Authentication
API Key authentication required for all requests. Generate keys from AssemblyAI Console dashboard
Webhooks
Polling-based status checks for async transcription (list transcripts, check status). Real-time streaming via WebSocket events (BeginEvent, TurnEvent, TerminationEvent)
SDKs
Official Python SDK (assemblyai-python-sdk). Community integrations with Pipecat, Langflow, Make.com
Documentation
Comprehensive docs at assemblyai.com/docs with Quickstart, API Reference, Cookbooks, code examples, and interactive playgrounds
Sandbox
Free tier available via AssemblyAI Console with API key generation and playground testing
SLA
Not publicly specified. Enterprise customers should contact sales for uptime guarantees and support SLAs
Rate Limits
Not publicly documented. Usage limits apply based on pricing tier
Use Cases
Audio/video transcription, real-time streaming STT, Audio Intelligence (topic detection, PII redaction, summarization), LeMUR framework for LLM prompting on transcripts

Faq

Assembly AI Uses REST API for Batch Transcription of Audio/Video Files and WebSocket for Real-Time Streaming Transcription. Audio Intelligence Automatically Detects Topics, Entities, PII and Sentiment. The LeMUR Framework Applies LLM Prompts to Transcripts for Summarization and Q&A.

Assembly AI Offers A Free Tier for Testing. Paid Plans Based On Transcription Minutes with Tiers for Different Accuracy/Performance Levels. Enterprise Pricing is Available Via Sales Contact with Custom Limits and Support.

The AssemblyAI platform has a production-ready API that can provide real time audio stream to your application as well as an array of features under the Audio Intelligence umbrella; including enterprise compliance. Whisper is a research model and requires you to host it yourself and will need to manage scaling and optimizing latency and feature complexity on your own.

PII (Personally Identifiable Information) redaction and Data Retention Controls are supported by AssemblyAI in addition to having access to SOC 2 Compliance through their Enterprise Customers. Audio Files are automatically processed and deleted after being transcribed UNLESS otherwise specified through retention settings.

Yes, using REST API, Web Sockets, Official Python SDK, as well as, no-code platforms such as Make.com, Langflow, and Pipecat. Local file, URL, and Streamed Audio Input capabilities are also supported.

Clear English Speech yields best results. A multilingual streamed model is also available. Results may vary depending upon the Quality of the Audio, Accents, Background Noise, and Domain-Specific Vocabulary used within the audio. Custom Vocabulary Boosting is also available.

Yes, register and create an account on the Assembly AI Console for a complimentary API Key with generous Testing Limits. No Credit Card Required for Initial Testing.

Extensive Documentation, Cookbooks, and Community Examples are all available. Enterprise Customers have access to Dedicated Support. Please contact sales for Custom Requirements.

Expert Verdict

Assembly AI provides Production-Grade Speech-To-Text Solutions with Industry Leading Accuracy and Real-Time Streaming, and provides a Full Array of Advanced Features Under the Audio Intelligence Umbrella. With its Developer-Friendly API, Official Python SDK, and Extensive Documentation, It Makes It Ideal For Development Teams Building Voice Applications At Scale. Its Strong Enterprise Readiness and Compliance Features Position It Well Against Both Cloud Giants And Specialized Competitors.

Recommended For

  • Customer Support Voice Agent and Call Analysis Teams
  • Podcast/Media Companies Needing Automated Transcription and Insights
  • Contact Centers Requiring Real Time Transcription and Analytics
  • Developers Needing Reliable STT Infrastructure Without Model Management
  • Companies Processing High Volumes Of Speech Data Requiring PII Redaction

!
Use With Caution

  • Project deployments require on-site installation — can't deploy in cloud alone currently.
  • Budget-constricted development teams — too expensive for high accuracy versions.
  • Specialized industries requiring significant customization of models to train.

Not Recommended For

  • Single-event transcriptions — simple file conversion tools are sufficient.
  • Development of real-time conversational AI requiring <100 ms latency every time.
  • Teams that lack ability to pre-process audio to reduce background noise.
Expert's Conclusion

AssemblyAI is a developer platform for deploying Production quality speech-to-text systems that provide Accuracy, Scale, and Advanced Analytics.

Best For
Customer Support Voice Agent and Call Analysis TeamsPodcast/Media Companies Needing Automated Transcription and InsightsContact Centers Requiring Real Time Transcription and Analytics

Research Summary

Key Findings

AssemblyAI has a full-service Speech-to-Text API with REST and Streaming WebSockets, an Official Python SDK, and an Audio Intelligence feature set including Topic Detection, PII Redaction, and LLM Integration using LeMUR. Strong Developer Experience with a large amount of documentation and playgrounds. Enterprise Ready with Compliance Features and Scalable Infrastructure.

Data Quality

Good - detailed technical information from official documentation and GitHub SDK. Pricing, SLA, and rate limit specifics require sales contact. Competitive positioning confirmed via integration examples.

Risk Factors

!
Pricing information is opaque — Requires Sales Discussion for Enterprise Plans.
!
Currently Only Deployable as a Cloud Service.
!
Requires Internet Connection to Stream in Real Time.
Last updated: February 2026

Alternatives

  • •
    Deepgram: Real-Time Streaming STT with Custom Model Training and Sub-300 ms Latency. More Focused on Conversational AI and Telephony Use Cases. Good for Ultra-Low Latency Requirements. Strong Developer Experience Similar to AssemblyAI. (https://www.deepgram.com/)
  • •
    Google Cloud Speech-to-Text: Enterprise Grade STT with >120 Languages and Automatic Punctuation. Larger Ecosystem for Google Cloud Users. Expensive at Scale but Supports Broader Language Support and Compliance Certifications. (https://cloud.google.com/speech-to-text)
  • •
    AWS Transcribe: Serverless STT Deeply Integrated into AWS Ecosystem. Medical and Call Analysis Models Available. Good for AWS-Centric Teams but Higher Complexity and Cost. Enterprise Compliance Features. (https://aws.amazon.com/transcribe)
  • •
    OpenAI Whisper API: The OpenAI Model provides high-quality translations across a multitude of languages through an easy-to-use API. This option is significantly less expensive per minute than other options, however, it does lack the ability to stream in real time as well as some features such as Audio Intelligence and Enterprise Compliance. Batch Transcription and Research-based applications would be good examples of when this option should be used.
  • •
    Rev.ai: Rev’s Human-in-the-Loop model uses AI to provide a high level of accuracy for complex audio but takes 12 – 24 hours to complete the transcription process. It is also much more expensive than the previous option. However, Regulated Industries who need the absolute highest levels of accuracy will find Rev a viable solution.

Industry-Standard Accuracy Metrics

93.3 %
Word Accuracy Rate (Universal Model)
300 ms
Real-Time Streaming Latency (P50)

Core Transcription Capabilities

Real-Time Streaming Transcription

Secure WebSocket API, ultra-low latency (~300 ms P50), for Live Captioning & Voice Agents

Batch/Asynchronous Transcription

High Volume Processing of Pre-Recorded Audio Files

Speaker Diarization

Advanced Detection & Labeling of Multiple Speakers with Utterances & Context Tracking

99+ Language Support

Automatic Language Detection with Code-Switching Support (English + Spanish/German)

Word-Level Timestamps

Precise Start/End Timings for Each Word

Auto Punctuation & Capitalization

Automatic Formatting for Readability including Proper Nouns

Custom Vocabulary

Key Terms Prompting (Up to 200 Words) for Domain-Specific Terminology

Noise & Accent Robustness

Near-Human Accuracy for Challenging Audio Including Accents & Background Noise

Language Support Comparison

ProviderTotal LanguagesReal-Time SupportCode-SwitchingAccent SupportNotable Strengths
AssemblyAI99+YesYes (EN+ES/DE)ExcellentUniversal model, automatic detection, global English accents
OpenAI Whisper50+LimitedYesExcellentMultilingual, open-source
Google Cloud STT125+YesYesExcellentBroadest coverage
AWS Transcribe100+YesYesGoodAWS integration

Compliance & Security Certifications

SOC 2 Type 2
Data Encryption (TLS/AES-256)In-transit and at-rest encryption
GDPR Compliance
HIPAA ComplianceBAA available for enterprise customers
Multi-Factor Authentication

Performance Specifications

Streaming Latency (P50)
~300ms
Concurrent Streams (Free Tier)
5
Free Tier Transcription
3 hours
Supported Formats
MP3, MP4, WAV, FLAC, WebM, Opus, M4A
Custom Vocabulary Limit
200 keyterms
Code-Switching Languages
English + Spanish/German

Primary Use Case Applications

Live Captioning & Voice Agents

Real-Time Transcription with ~300 ms Latency for Conversational AI

Call Center Analytics

Speaker Diarization, Sentiment Analysis, Entity Detection for Customer Service

Meeting & Podcast Transcription

Multi-Speaker Diarization with Summarization & Topic Detection

Video Content Captioning

Automated Subtitles with Word-Level Timestamps

Content Moderation

Sensitive Content Detection & PII Redaction

Multilingual Customer Support

99+ Languages with Automatic Detection & Code-Switching

Audio Quality Impact Analysis

Audio ConditionCharacteristicsExpected PerformanceMitigation Strategies
Clean Studio AudioProfessional mic, low noise93.3%+ WARNone required
Noisy EnvironmentsBackground chatter, machineryNear-human accuracyUniversal model robustness
Accented/Regional SpeechGlobal English variantsExcellent performanceAccent-adapted training
Multi-Speaker OverlapConversational crosstalkAdvanced diarizationSpeaker context tracking
Code-Switching AudioEN+ES/DE mixingSupported with detectionlanguage_codes parameter

Pricing Model Comparison

ProviderModelFree TierConcurrent LimitKey Pricing Feature
AssemblyAIUsage-based3 hours5 streamsDeveloper-friendly tiers
OpenAI WhisperPer-minuteNo$0.006/min
Google Cloud STTPer-15s60 min/monthVaries$0.024/min equivalent
AWS TranscribePer-minute250k seconds/12moVaries$0.024/min

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