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Baseten vs Telnyx: Token Pricing, Speed & Intelligence

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

Baseten

Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.

ProductionOpen-sourceReasoningChinese NLPCost-efficiency
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

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

Baseten

Dedicated GPU deployments for production reliability and consistent latency
GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
Fast and Fast variants for throughput-optimised inference
Custom deployment options — bring your own model or use the catalog
Production-grade SLAs and monitoring
Smaller catalog than Together AI or Fireworks
Less documentation for new users than major providers
Dedicated deployments require more setup than pure serverless

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

Baseten

Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.

Telnyx

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

Frequently asked questions

Baseten FAQs

What is Baseten?

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models including GLM-5.3, DeepSeek V4.1 Flash, Kimi K3, Nemotron, and Muse Spark Open. See baseten.co/pricing for current rates.

What models does Baseten offer?

Baseten's catalog includes GLM-5.3, GLM-5.3 Fast, GLM-5.3-Flash, GLM-5.2, GLM-5.2 Fast, DeepSeek V4.1 Flash, DeepSeek V4.1 Flash Fast, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. See baseten.co/pricing for current rates.

How much does Baseten cost?

As of October 2026: GLM-5.3 $1.40/$4.40, GLM-5.3 Fast $2.10/$6.60, GLM-5.3-Flash $0.15/$0.50, DeepSeek V4.1 Flash $0.30/$1.20, DeepSeek V4 Pro 0813 $1.32/$3.96, Kimi K3 $3.00/$15.00, Nemotron 3.5 Super VL $0.20/$0.50, GPT OSS 120B $0.10/$0.50. See baseten.co/pricing for current rates.

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

Baseten — Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.

Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.

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

Baseten

  • Dedicated GPU deployments for production reliability and consistent latency
  • GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
  • Fast and Fast variants for throughput-optimised inference
  • Smaller catalog than Together AI or Fireworks
  • Less documentation for new users than major providers

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

Baseten

  • Smaller catalog than Together AI or Fireworks
  • Less documentation for new users than major providers
  • Dedicated deployments require more setup than pure serverless

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

Baseten is a inference api, founded in 2019. Telnyx is a inference api, founded in 2009. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Baseten and Telnyx host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.