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#1 Modal Alternative Without the Regional Multiplier

In-region inference at one per-token rate.

Modal charges a 1.15x multiplier for broad regions and 1.75x for narrow regions on top of per-GPU-second compute. Its per-token endpoints offer no region selection at all. Telnyx runs open-weight models on owned GPUs in the US, EU, APAC and MENA at one per-token rate. In-region by default, no surcharges, no infra code.

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14,000+ INDUSTRY-LEADING COMPANIES choose telnyx

OpenAI - Artificial intelligence research leader using Telnyx communicationsIBM - Global technology and consulting company partnering with TelnyxCisco - Networking and telecommunications company using Telnyx servicesTalkdesk - Cloud contact center platform powered by TelnyxAmerican Red Cross - Humanitarian organization leveraging Telnyx communicationsZillow - Real estate marketplace using Telnyx for customer communicationsMicrosoft - Technology corporation utilizing Telnyx infrastructureOpenAI - Artificial intelligence research leader using Telnyx communicationsIBM - Global technology and consulting company partnering with TelnyxCisco - Networking and telecommunications company using Telnyx servicesTalkdesk - Cloud contact center platform powered by TelnyxAmerican Red Cross - Humanitarian organization leveraging Telnyx communicationsZillow - Real estate marketplace using Telnyx for customer communicationsMicrosoft - Technology corporation utilizing Telnyx infrastructure

Modal vs Telnyx

Telnyx logo

Telnyx

Serverless inference runs on Telnyx-owned GPUs in the US, EU, APAC and MENA. In-region by architecture, not a premium tier.

Modal logo

Modal

Per-token Shared Endpoints have no region selection and route through us-west. Pinning compute to a region requires a Dedicated Endpoint at 1.15–1.75x base compute rates. Payloads over 2 MiB, logs and all stored data stay in the US.

Per-token pricing, no infrastructure to manage

Modal bills per-GPU-second with a 1.15–1.75x multiplier for any pinned region, and its per-token endpoints can't be pinned at all. Telnyx is per-token on owned GPUs, in-region by default, with cached input at up to 88% off and no GPU rental, plan tier or compute surcharge.

SEE PRICING
$0.13Per 1M input tokens, pay as you go
DEVELOPER EXPERIENCE

Migrate from Modal in minutes

Both are OpenAI-compatible, so migration is a base URL change. What you leave behind: Modal's proxy tokens, per-model concurrency caps on shared endpoints, and the Python deployment you'd need for anything the shared pool doesn't serve. Point your existing client at Telnyx and run your first request today.

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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-K3",
    messages=[{"role": "user", "content": "Hello"}],
)

Frontier open-weight models on Telnyx infrastructure

Owned GPUs in the US, EU, APAC and MENA. No cloud markup, no regional multiplier.

START BUILDINGCONTACT US
MODELS10Curated open-weight chat models on owned GPUs.
DEPLOYMENTS4US, EU, APAC and MENA regions.
LOW COST88%Off list price on cached input tokens.
TOKENS$0Pay as you go, card on file, no minimums.
SUPPORT24/7Premium support available.
APIOpenAICompatible API, one-line swap.
AGENT PLATFORM

Infrastructure for AI agents. Every primitive, one platform.

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.

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Ready to switch from Modal?

Pay as you go, no minimums. In-region inference at one per-token rate.

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FAQ

Both Telnyx and Modal expose 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. If your Modal workload is a Function or Dedicated Endpoint, the migration also removes the GPU-second bill and the region multiplier.