OpenAI TTS-1 by OpenAI — Pricing, Benchmarks &amp; Real Outputs

Alternatives to OpenAI TTS-1

OpenAI TTS-1's competitors have been quietly putting in work.

Updated Feb 11, 2026

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Compare OpenAI TTS-1

Alternatives to OpenAI TTS-1

OpenAI TTS-1's competitors have been quietly putting in work.

Updated Feb 11, 2026

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OpenAI TTS-1

TTS:

OpenAI TTS-1

OpenAI's standard text-to-speech model optimized for low latency. Supports 6 voices and multiple output formats. Offers faster generation than TTS-1-HD with slightly lower quality.

Provider

Release Date

2023-11-06

Size

MEDIUM

Get API accessProvider and language code samples

Provider

fromimport openai  OpenAI

# reads OPENAI_API_KEYclient = OpenAI()  

response = client.chat.completions.create(
"tts-1"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENAI_API_KEY with your OpenAI API key from platform.openai.com/api-keys.

Sponsored

Model Responses

6 outputs from OpenAI TTS-1

Related Models

OpenAI TTS-1 HD

OpenAI's high-definition text-to-speech model with six built-in voices. Clear, natural speech optimized for quality over latency.

GPT-5.5

GPT-5.5 is OpenAI's frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

GPT Image 2

OpenAI's second-generation image model. Near-perfect typography (including non-Latin scripts), 2x faster than gpt-image-1.5, up to 2K resolution, and 'thinking' over the prompt for dense compositions.

GPT-5.4 Mini

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale.

GPT-5.4 Nano

GPT-5.4 Nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale.

GPT-5.4

GPT-5.4 is OpenAI's latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following.

Keep exploring

OpenAI TTS-1 vs MiniMax M3

Real outputs compared side by side

Pick Two Models

Side-by-side outputs on the same prompt

Loading...

Compare OpenAI TTS-1

Alternatives to OpenAI TTS-1

OpenAI TTS-1's competitors have been quietly putting in work.

Updated Feb 11, 2026

Share

OpenAI TTS-1

TTS:

OpenAI TTS-1

OpenAI's standard text-to-speech model optimized for low latency. Supports 6 voices and multiple output formats. Offers faster generation than TTS-1-HD with slightly lower quality.

Provider

Release Date

2023-11-06

Size

MEDIUM

Get API accessProvider and language code samples

Provider

fromimport openai  OpenAI

# reads OPENAI_API_KEYclient = OpenAI()  

response = client.chat.completions.create(
"tts-1"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENAI_API_KEY with your OpenAI API key from platform.openai.com/api-keys.

Sponsored

Model Responses

6 outputs from OpenAI TTS-1

Related Models

OpenAI TTS-1 HD

OpenAI's high-definition text-to-speech model with six built-in voices. Clear, natural speech optimized for quality over latency.

GPT-5.5

GPT-5.5 is OpenAI's frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

GPT Image 2

OpenAI's second-generation image model. Near-perfect typography (including non-Latin scripts), 2x faster than gpt-image-1.5, up to 2K resolution, and 'thinking' over the prompt for dense compositions.

GPT-5.4 Mini

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale.

GPT-5.4 Nano

GPT-5.4 Nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale.

GPT-5.4

GPT-5.4 is OpenAI's latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following.

Keep exploring

OpenAI TTS-1 vs MiniMax M3

Real outputs compared side by side

Pick Two Models

Side-by-side outputs on the same prompt

Loading...

Compare OpenAI TTS-1

Alternatives to OpenAI TTS-1

OpenAI TTS-1's competitors have been quietly putting in work.

OpenAI TTS-1

TTS:

OpenAI TTS-1

OpenAI's standard text-to-speech model optimized for low latency. Supports 6 voices and multiple output formats. Offers faster generation than TTS-1-HD with slightly lower quality.

Provider

Release Date

2023-11-06

Size

MEDIUM

Get API accessProvider and language code samples

Provider

fromimport openai  OpenAI

# reads OPENAI_API_KEYclient = OpenAI()  

response = client.chat.completions.create(
"tts-1"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENAI_API_KEY with your OpenAI API key from platform.openai.com/api-keys.

Sponsored

Model Responses

6 outputs from OpenAI TTS-1

Related Models

OpenAI TTS-1 HD

OpenAI's high-definition text-to-speech model with six built-in voices. Clear, natural speech optimized for quality over latency.

GPT-5.5

GPT-5.5 is OpenAI's frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

GPT Image 2

OpenAI's second-generation image model. Near-perfect typography (including non-Latin scripts), 2x faster than gpt-image-1.5, up to 2K resolution, and 'thinking' over the prompt for dense compositions.

GPT-5.4 Mini

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale.

GPT-5.4 Nano

GPT-5.4 Nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale.

GPT-5.4

GPT-5.4 is OpenAI's latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following.

Keep exploring

OpenAI TTS-1 vs MiniMax M3

Real outputs compared side by side

Pick Two Models

Side-by-side outputs on the same prompt

OpenAI TTS-1

TTS:

OpenAI TTS-1

OpenAI's standard text-to-speech model optimized for low latency. Supports 6 voices and multiple output formats. Offers faster generation than TTS-1-HD with slightly lower quality.

Provider

Release Date

2023-11-06

Size

MEDIUM

Get API accessProvider and language code samples

Provider

fromimport openai  OpenAI

# reads OPENAI_API_KEYclient = OpenAI()  

response = client.chat.completions.create(
"tts-1"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENAI_API_KEY with your OpenAI API key from platform.openai.com/api-keys.

Sponsored

Model Responses

6 outputs from OpenAI TTS-1

Related Models

OpenAI TTS-1 HD

OpenAI's high-definition text-to-speech model with six built-in voices. Clear, natural speech optimized for quality over latency.

GPT-5.5

GPT-5.5 is OpenAI's frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

GPT Image 2

OpenAI's second-generation image model. Near-perfect typography (including non-Latin scripts), 2x faster than gpt-image-1.5, up to 2K resolution, and 'thinking' over the prompt for dense compositions.

GPT-5.4 Mini

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale.

GPT-5.4 Nano

GPT-5.4 Nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale.

GPT-5.4

GPT-5.4 is OpenAI's latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following.

Keep exploring

OpenAI TTS-1 vs MiniMax M3

Real outputs compared side by side