ElevenLabs vs Modal: Token Pricing, Speed & Intelligence
Full comparison of ElevenLabs and Modal — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
ElevenLabs
Flash v2.5 sub-300ms voice — 32 languages, voice cloning, and the ElevenLabs Studio
ElevenLabs is the leading AI voice platform, offering text-to-speech, voice cloning, and dubbing APIs. Flash v2.5 delivers sub-300ms latency for real-time voice agents. The 2026 platform has expanded to 32 languages, added ElevenLabs Studio (a full audio production environment), and introduced Turbo v2.5 for ultra-low-latency streaming. ElevenLabs is the default voice layer for many AI agent and voice assistant applications.
Modal
Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Key metric comparison
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Live token pricing
Strengths and weaknesses
ElevenLabs
Modal
Key differentiators
Flash v2.5 delivers sub-300ms latency across 32 languages — a low-latency, natural-sounding voice API with ElevenLabs Studio for full audio production workflows.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Frequently asked questions
ElevenLabs FAQs
How fast is ElevenLabs Flash v2.5?
ElevenLabs Flash v2.5 delivers sub-300ms time-to-first-audio, making it suitable for real-time voice agents and conversational AI applications where latency is critical.
How many languages does ElevenLabs support?
ElevenLabs supports 32 languages as of 2026, including English, Spanish, French, German, Japanese, Chinese, Arabic, and many others. Quality varies by language, with English and major European languages having the highest fidelity.
What is ElevenLabs Studio?
ElevenLabs Studio is a full audio production environment for creating long-form audio content — audiobooks, podcasts, and narrated videos. It supports multi-voice projects, chapter management, and direct export to audio formats.
Modal FAQs
What models does Modal offer on Shared Endpoints?
Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.
How much does Modal charge per 1M tokens?
Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.
Does Modal offer prompt caching?
Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.
Provider resources
ElevenLabs — Flash v2.5 sub-300ms voice — 32 languages, voice cloning, and the ElevenLabs Studio
ElevenLabs is the leading AI voice platform, offering text-to-speech, voice cloning, and dubbing APIs. Flash v2.5 delivers sub-300ms latency for real-time voice agents. The 2026 platform has expanded to 32 languages, added ElevenLabs Studio (a full audio production environment), and introduced Turbo v2.5 for ultra-low-latency streaming. ElevenLabs is the default voice layer for many AI agent and voice assistant applications.
Flash v2.5 delivers sub-300ms latency across 32 languages — a low-latency, natural-sounding voice API with ElevenLabs Studio for full audio production workflows.
Modal — Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Key strengths compared
ElevenLabs
- Flash v2.5: sub-300ms latency for real-time voice agents
- Turbo v2.5: ultra-low-latency streaming for interactive applications
- 32-language support with near-human quality
- Voice/TTS only — no text generation
- Per-character pricing can add up at scale
Modal
- Managed hardware and autoscaling — no infrastructure to operate
- Published per-token rates including cached-input pricing
- OpenAI-style per-token billing across all 10 models
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
Key weaknesses compared
ElevenLabs
- Voice/TTS only — no text generation
- Per-character pricing can add up at scale
- Voice cloning raises ethical considerations
Modal
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
- Prices are published rates re-read 2026-10-31, not continuously collected
Provider category context
ElevenLabs is a inference api, founded in 2022. Modal is a inference api. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both ElevenLabs and Modal host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.