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Chutes vs Telnyx: Token Pricing, Speed & Intelligence

Full comparison of Chutes and Telnyx — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Chutes

Open-weight model inference on TEE GPUs

Chutes (chutes.ai) is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware, with cryptographic attestation of model and input confidentiality. The API is OpenAI-compatible and pricing is per token with no minimum commitment.

Open-weight inferencePrivacy-sensitive workloadsServerless LLM
Open-weight hostHosts open weights

Telnyx

OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax

Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.

ChatCodingCost-sensitive workloads
Open-weight hostHosts open weights

Key metric comparison

Chutes
Telnyx
Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

Chutes

TEE-backed inference with cryptographic attestation
OpenAI-compatible API
Serverless, per-token pricing
Supports open-weight models including Llama, Mistral, Qwen, and DeepSeek

Telnyx

OpenAI-compatible API — drop-in replacement for existing integrations
Competitive pricing on GLM-5.3 Flash and DeepSeek V4 Flash
PAYG with no minimum spend
Prompt caching on GLM-5.3 Flash (cached input at $0.027/1M)
Smaller model catalog vs major inference hubs
Inference is a secondary product — communications is the core business
Limited benchmark transparency vs dedicated inference providers

Key differentiators

Chutes

Open-weight inference platform running workloads inside TEEs with cryptographic attestation.

Telnyx

OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.

Frequently asked questions

Chutes FAQs

What is Chutes?

Chutes is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware. See chutes.ai for details.

What does TEE inference mean on Chutes?

TEE (Trusted Execution Environment) inference runs model workloads inside a hardware-isolated enclave. Chutes provides cryptographic attestation of this isolation. See their documentation at docs.chutes.ai.

What models does Chutes offer?

Chutes hosts open-weight models including families from Llama, Mistral, Qwen, and DeepSeek. See chutes.ai for the current catalog.

Telnyx FAQs

What models does Telnyx Inference API offer?

As of October 2026: GLM-5.3 Flash ($0.135/$0.45 per 1M tokens, cached $0.027), Kimi K2.6 ($0.665/$4.00), DeepSeek V4 Flash ($0.130/$0.260), and MiniMax-M3 ($0.270/$1.100). All are OpenAI-compatible. See telnyx.com/pricing/inference-api for current rates.

Is Telnyx Inference API OpenAI-compatible?

Yes. Telnyx provides an OpenAI-compatible REST API, so you can use it as a drop-in replacement in any application that supports custom base URLs.

Does Telnyx offer prompt caching?

Yes, on GLM-5.3 Flash. Cached input tokens are billed at $0.027/1M vs $0.135/1M standard.

Provider resources

Chutes

Provider page
Website
PricingDocs

Telnyx

Provider page
Website
Pricing

Chutes — Open-weight model inference on TEE GPUs

Chutes (chutes.ai) is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware, with cryptographic attestation of model and input confidentiality. The API is OpenAI-compatible and pricing is per token with no minimum commitment.

Open-weight inference platform running workloads inside TEEs with cryptographic attestation.

Telnyx — OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax

Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.

OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.

Key strengths compared

Chutes

  • TEE-backed inference with cryptographic attestation
  • OpenAI-compatible API
  • Serverless, per-token pricing

Telnyx

  • OpenAI-compatible API — drop-in replacement for existing integrations
  • Competitive pricing on GLM-5.3 Flash and DeepSeek V4 Flash
  • PAYG with no minimum spend
  • Smaller model catalog vs major inference hubs
  • Inference is a secondary product — communications is the core business

Key weaknesses compared

Chutes

    Telnyx

    • Smaller model catalog vs major inference hubs
    • Inference is a secondary product — communications is the core business
    • Limited benchmark transparency vs dedicated inference providers

    Provider category context

    Chutes is a open source host, founded in 2024. Telnyx is a inference api, founded in 2009. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

    How to choose between them

    Choose Chutes if you need tee-backed inference with cryptographic attestation. Choose Telnyx if you need Chat. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.