Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Inworld TTS 2 inworld/tts-2 | TTS 1.5 Mini inworld/tts-1.5-mini | |
|---|---|---|
| Provider | Inworld | Inworld |
| Family | Inworld TTS | Inworld TTS |
| Modality | audio-tts | audio-tts |
| Context window | — | — |
| Max output | — | — |
| Released | 2026-05-05 | 2026-04-13 |
| Input price | $0.035 /1K ch | $0.025 /1K ch |
| Output price | — | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Inworld's most powerful and expressive text-to-speech model. Builds on TTS 1.5 with rich expressive speech, real-time latency, natural language steering (e.g. [whisper], [say excitedly]), and stronger multilingual support across 15 production languages plus 90+ experimental languages.
Ultra-fast, cost-efficient text-to-speech with approximately 120ms latency and 15-language support.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Inworld TTS 2
client.chat.completions.create(
model="inworld/tts-2",
messages=[{"role":"user","content":"hello"}],
)
# Try TTS 1.5 Mini — same client, same key
client.chat.completions.create(
model="inworld/tts-1.5-mini",
messages=[{"role":"user","content":"hello"}],
)