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.
| Nemotron-3-120b-A12b nvidia/nemotron-3-120b-a12b | Inworld TTS 2 inworld/tts-2 | |
|---|---|---|
| Provider | Nvidia | Inworld |
| Family | Inworld TTS | |
| Modality | text | audio-tts |
| Context window | 131,072 tok | — |
| Max output | 4,096 tok | — |
| Released | 2026-02-24 | 2026-05-05 |
| Input price | $0.500 /1M | $0.035 /1K ch |
| Output price | $1.20 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | — | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | — | — |
NVIDIA Nemotron 3 Super is a hybrid MoE model with leading accuracy for multi-agent applications and specialized agentic AI systems.
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.
# 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 Nemotron-3-120b-A12b
client.chat.completions.create(
model="nvidia/nemotron-3-120b-a12b",
messages=[{"role":"user","content":"hello"}],
)
# Try Inworld TTS 2 — same client, same key
client.chat.completions.create(
model="inworld/tts-2",
messages=[{"role":"user","content":"hello"}],
)