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.
| TTS 1.5 Max inworld/tts-1.5-max | 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 | 2026-04-13 | 2026-04-13 |
| Input price | $50000.00 /1K ch | $25000.00 /1K ch |
| Output price | — | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Highest-quality text-to-speech with under 200ms latency, emotion control, and 15-language support.
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 TTS 1.5 Max
client.chat.completions.create(
model="inworld/tts-1.5-max",
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"}],
)