Same models. Same API. Owned infrastructure, not rented.
Together runs serverless inference from US infrastructure and recently added Sweden for EU workloads. Telnyx hosts the same frontier models on owned GPUs in the US, EU, and APAC at one per-token rate. In-region is the default, not a premium tier.
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Serverless inference lives on Telnyx-owned GPUs in the US, EU, and APAC. In-region by architecture, not a premium tier.
Serverless inference available in US and Sweden (EU). APAC not available on serverless. Non-US/Sweden workloads served via dedicated deployments with separate pricing. Source: together.ai/pricing, support.together.ai
Together prices serverless per-token but moves dedicated workloads and non-US capacity into Endpoints and Clusters with separate pricing. Telnyx bundles cached input, in-region routing, and 1M free tokens per month into one per-token rate.
Together exposes an OpenAI-compatible endpoint. So does Telnyx. Swap the base URL, keep the rest of your code, run your first request on the same day.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_TELNYX_API_KEY",
base_url="https://api.telnyx.com/v2/ai",
)
response = client.chat.completions.create(
model="moonshotai/Kimi-K2.6",
messages=[{"role": "user", "content": "Hello"}],
)Owned GPUs in the US, EU, and APAC. No cloud markup.
From carrier network to co-located GPU compute, Telnyx owns every layer your agents need to run voice AI and inference in real time. No Frankenstack. No rented infrastructure. One control plane for inference, voice AI, and global communications. Configure once, deploy globally.
Start with 1M free tokens per month. Inference at the edge.
Both Telnyx and Together AI use OpenAI-compatible endpoints, so you can run them in parallel during migration. Point a percentage of traffic at the Telnyx base URL, validate results, then cut over.