Omtera, as a strategic partner of ElevenLabs, helps businesses not only test ElevenLabs technologies but also integrate them into real business processes with the right architecture and cost model. ElevenLabs API pricing is one of the most important decision points in this process, especially for teams planning high-volume voice generation, transcription, dubbing, AI voice applications, or customer experience projects.
For a project manager, the fundamental question is how much the project will cost per month. When a marketing team wants to voice thousands of pieces of content, the same question moves to a different scale. For IT managers and technical teams, not only the monthly subscription but also the volume of API calls, the model used, character count, audio minutes, concurrency, and growth potential in the production environment should be evaluated together.
Therefore, evaluating ElevenLabs API pricing only by asking “how much is the monthly plan?” is not sufficient. The actual cost depends on which ElevenLabs API service is used and at what volume.
ElevenLabs offers both subscription and pay-as-you-go models for API usage. API-side costs can be calculated based on characters, minutes, hours, or generation depending on the service being used.
In May 2026, ElevenLabs made significant changes to ElevenAPI and ElevenAgents pricing. The company announced that it reduced Text to Speech costs by up to 55% in some usage scenarios, Speech to Text costs by up to 45%, and ElevenAgents costs by up to 20%. With the same update, the pay-as-you-go model was also made available for broader usage.
This approach is particularly important for pilot projects. It allows companies to measure their costs based on real traffic before reaching high usage volumes.
Not every ElevenLabs service is priced in the same way.
For example:
Text to Speech API usage is measured by characters,
Speech to Text API usage is measured by audio duration,
Voice Changer is measured by minutes,
Voice Isolator is measured by minutes,
Music API is measured by minutes,
Dubbing is measured by source audio or video duration.
Therefore, when calculating a monthly API budget, it is not correct to look only at “how many API requests will be made.” How much content each API request processes is more important.
For example, if each of 10,000 API calls converts only a few words of text into speech, the cost may remain low. In contrast, processing hundreds of long videos or podcast episodes can create significantly higher usage.
Text to Speech is one of the most widely used services in the ElevenLabs API ecosystem. It can be used to convert text in applications into natural speech, voice articles, produce educational content, automate video voice-over processes, and add voice experience to products.
In ElevenLabs’ current API pricing, the cost of Text to Speech varies depending on the selected model.
For Flash / Turbo models, the API price is approximately:
0.05 USD per 1,000 characters
These models are particularly designed for applications that require low latency. ElevenLabs Flash models offer low-latency options down to approximately 75 ms.
For example, let’s assume a SaaS application converts 1 million characters of text into speech per month.
Approximate calculation:
1,000,000 / 1,000 = 1,000 units
1,000 × 0.05 USD = 50 USD
In this case, the Text to Speech API generation cost alone could be approximately 50 USD.
This is only a simplified API usage example. The actual cost may vary depending on the features used, the plan, additional service usage, and taxes.
For Multilingual v2 and v3 models, the API price is approximately:
0.10 USD per 1,000 characters
These models may be preferred in projects that require higher voice quality and multilingual generation.
For example, let’s assume a media company converts 5 million characters of article content into speech per month.
5,000,000 / 1,000 = 5,000
5,000 × 0.10 USD = 500 USD
For this reason, model selection is not only a technical decision but also a financial decision that directly affects cost.
While Flash/Turbo models may make sense in a real-time AI application, the quality offered by Multilingual models may become more important in premium content production.
The Speech to Text API automatically converts meetings, calls, videos, podcasts, and other audio sources into text.
ElevenLabs’ Scribe models were developed for this use case.
The current API price for Scribe v2 is approximately:
0.22 USD / hour
For example, if a company wants to transcribe a total of 1,000 hours of customer conversations per month, the theoretical base usage would be:
1,000 × 0.22 USD = 220 USD
This structure provides a scalable model for use cases such as call center analytics, making customer conversations searchable, or performing AI analysis on voice data.
Scribe v2 Realtime can be used for applications that require real-time transcription.
The price is approximately:
0.39 USD / hour
Realtime transcription is particularly important for live conversations, meeting assistants, customer service applications, or voice agent systems.
Additional features such as entity detection and keyterm prompting may also have separate usage costs.
ElevenLabs is not only a platform that provides Text to Speech and Speech to Text.
Voice Changer can be used to transform the voice characteristics of an existing speech into another voice. Voice Isolator helps produce cleaner audio by reducing environmental noise, echo, and other background sounds.
According to current API pricing:
Voice Changer: approximately 0.12 USD / minute
Voice Isolator: approximately 0.12 USD / minute
For example, consider a platform that processes 10,000 minutes of podcast or user-generated audio content per month.
10,000 × 0.12 USD = 1,200 USD
For this reason, usage volume should be modeled from the beginning for media, gaming, creator platforms, and applications that host user-generated content.
Dubbing API is one of the important ElevenLabs services for media, education, and marketing teams that want to scale video and audio content into different languages.
For Dubbing v1, the API price is approximately:
0.33 USD / minute — automatic dubbing with watermark
and
0.50 USD / minute — automatic dubbing without watermark
The more advanced Dubbing v2 model is priced at approximately:
2.20 USD / minute
Dubbing v2 is positioned by ElevenLabs as an end-to-end dubbing model and offers broader language support.
Let’s assume a company localizes a total of 100 training videos into different languages every month.
Each video is 10 minutes on average.
Total content:
100 × 10 = 1,000 minutes
For Dubbing v1 usage with watermark, approximately:
1,000 × 0.33 USD = 330 USD
If Dubbing v2 is used:
1,000 × 2.20 USD = 2,200 USD
of base API usage may occur.
This difference shows why choosing a model based only on price is not the right approach in ElevenLabs projects. The purpose of the content, quality expectations, language coverage, and end-user experience should be evaluated together.
ElevenLabs API can generate not only speech but also music and sound effects.
The current API pricing for Eleven Music is approximately:
0.15 USD / minute
For Sound Effects, pricing is approximately:
0.12 USD
based on API usage rates; however, the generation structure of the usage and the applicable plan conditions should be checked.
These services provide an opportunity, especially for teams developing games, video production, advertising, social media content, and digital experiences, to automate a broader part of the audio production process through a single API infrastructure.
ElevenLabs’ general platform plans also provide access to API usage.
The current monthly plan structure includes the following main tiers:
The Creator plan may occasionally include a first-month discount. Since ElevenLabs pricing may change depending on campaigns, billing periods, and product updates, the current pricing page should be checked before purchasing.
On the API side, ElevenLabs now presents service-based USD usage rates and the pay-as-you-go model more visibly.
The pay-as-you-go model can be particularly advantageous for projects that cannot yet accurately estimate their usage volume.
For example, a SaaS company developing a new voice AI feature may serve only a few hundred users in the first month. Six months later, the same feature may be used by hundreds of thousands of users.
In the initial stage:
product validation,
user testing,
comparison of different ElevenLabs models,
latency measurement,
measurement of monthly character or minute consumption
can make the pay-as-you-go approach more flexible.
However, when usage volume increases, looking only at the API unit price is not sufficient. Concurrency, rate limits, security, support, SLA, and enterprise deployment requirements should also be evaluated.
The healthiest approach in ElevenLabs projects is to first mathematically model the use case.
For example:
50,000 active users.
If each user consumes an average of 5 minutes of AI-generated voice per month:
50,000 × 5 = 250,000 minutes of usage.
This usage may consist of different services such as:
Text to Speech,
Speech to Text,
Voice Changer,
Dubbing,
ElevenAgents.
Building a budget based only on today’s usage is risky.
It is healthier to create three different usage scenarios: minimum, expected, and high-growth.
For example:
Minimum: 100,000 minutes
Expected: 250,000 minutes
High-growth: 500,000 minutes
In this way, the technical team can see not only today’s API cost but also the infrastructure and cost structure that may arise as the product grows.
ElevenLabs API is particularly suitable for companies that want to integrate AI voice technology into their own product or business process.
Common use cases include:
Real-time AI voice experiences can be added to applications.
Voice agent systems can understand customer questions, respond to them, and automate certain business processes.
Articles, news, podcasts, and long-form content can be automatically voiced.
Course content, educational materials, and accessibility solutions can be converted into audio in different languages.
Advertisements, social media videos, product promotions, and campaigns can be produced faster in different languages and voices.
Dubbing and multilingual voice technologies can make it easier to localize the same content for different countries.
Reducing API costs does not simply mean choosing a cheaper plan.
Selecting the right model can make a greater difference.
For example, it may not always be necessary to use the highest-quality model for real-time usage. Flash/Turbo models can provide both low latency and lower character costs in some scenarios.
In addition, caching generated audio files instead of generating the same content repeatedly, reducing unnecessary API calls, and regularly analyzing usage data can significantly affect total cost.
Generation metadata and information such as character-cost can be tracked through ElevenLabs API response headers. Logging this data at the application level makes it easier to measure how much API usage is generated by each feature or user.
Although ElevenLabs API provides a powerful infrastructure, building a production-grade voice AI system is not simply a matter of obtaining an API key and calling an endpoint.
As an ElevenLabs partner, Omtera can help companies identify use cases, select the right ElevenLabs services, and integrate voice AI infrastructure into their existing systems.
This process may include:
ElevenLabs use case design,
API architecture,
Text to Speech and Speech to Text integration,
voice agent scenarios,
CRM and business system integrations,
model selection,
API usage and cost optimization,
scalability planning,
security and governance structure,
production deployment,
continuous performance optimization.
Especially in enterprise projects, a low API unit price alone does not mean a successful investment. The main goal is to ensure that the voice AI system is used in the right process, improves the user experience, and generates measurable ROI.
ElevenLabs API pricing does not consist of a single fixed figure. Text to Speech can be priced based on characters, Speech to Text based on duration, Voice Changer and Voice Isolator based on minutes, and Dubbing based on content duration and the model used.
This structure makes ElevenLabs flexible for both small pilot projects and large-scale systems performing millions of API operations. However, the key point of cost optimization is not finding the cheapest API option, but matching the right workload with the right ElevenLabs model.
For project managers, IT leaders, C-level executives, and product teams, the healthiest approach is to evaluate usage volume, quality requirements, latency expectations, and future growth together.
Omtera’s ElevenLabs expertise focuses at this stage not only on technology selection but also on turning the ElevenLabs investment into a real business outcome.
Ready to scale your ElevenLabs API investment with the right cost model? Contact Omtera to build your ElevenLabs integration plan today.
ElevenLabs API can be used for free?
Yes. ElevenLabs has a Free plan, and most API endpoints can be used across different plans, including the Free plan. However, API operations are deducted from the applicable usage limits or pricing structure.
How much does ElevenLabs Text to Speech API cost?
According to current API pricing, Flash/Turbo models cost approximately 0.05 USD per 1,000 characters, while Multilingual v2/v3 models cost approximately 0.10 USD per 1,000 characters. Prices may change over time.
How much does ElevenLabs Speech to Text API cost?
Scribe v2 costs approximately 0.22 USD/hour, while Scribe v2 Realtime costs approximately 0.39 USD/hour. Additional features such as entity detection and keyterm prompting may be charged separately.
Does ElevenLabs API work on a credit-based system?
While ElevenLabs uses a shared credit system in its general platform plans, the ElevenAPI pricing page also offers service-based USD usage rates and a pay-as-you-go model. The applicable pricing model should be checked depending on the product and plan.
Can ElevenLabs API be used on a pay-as-you-go basis?
Yes. In 2026, ElevenLabs expanded the pay-as-you-go usage model across the API and Agents offerings. This model can be considered particularly for projects with variable usage volumes or projects that are still in the pilot stage.
How much does ElevenLabs API Enterprise cost?
There is no fixed list price for the Enterprise plan. Pricing is customized according to usage volume and enterprise requirements. SLA, SSO, custom rate limit options, enterprise support, and different security requirements can be evaluated within Enterprise.
How can I estimate ElevenLabs API costs?
First, the API services to be used should be determined, followed by an estimate of monthly character, minute, or hour consumption. Creating minimum, expected, and high-growth scenarios provides a healthier way to model API costs across different growth levels.
Are taxes included in ElevenLabs API pricing?
The prices listed on ElevenLabs’ official pricing page may exclude taxes, duties, and similar additional costs. The final cost may vary depending on the company’s country and payment conditions.
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