Compute Comparison
vs
All providers →

FastInfra vs Telnyx: Token Pricing, Speed & Intelligence

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

FastInfra

Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Cost-sensitive workloadsBroad model accessAmazon Nova inference
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)

—

—

Cheapest output ($/1M)

—

—

Peak throughput

—

—

Best latency (TTFT)

—

—

Intelligence score

—

—

Context window

—

—

Live token pricing

Strengths and weaknesses

FastInfra

785+ models via router — broad catalog coverage
Own H200 GPU capacity for low-latency inference
Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
Prepaid from $5 — low barrier to entry
Newer provider — limited ecosystem integrations and third-party reviews
Hybrid router/own-capacity model means latency may vary by model
Limited benchmark transparency

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

FastInfra

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

Telnyx

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

Frequently asked questions

FastInfra FAQs

What is FastInfra?

FastInfra is a hybrid inference platform combining a 785+ model router with its own H200 GPU capacity. It offers Amazon Nova Lite ($0.06/$0.25 per 1M tokens) and Nova Micro ($0.04/$0.15), with prepaid credits from $5. See fastinfra.ai/pricing for current rates.

Does FastInfra have its own GPU capacity?

Yes. FastInfra operates its own H200 GPU infrastructure alongside a model router, so some models run on dedicated capacity rather than being routed to third-party providers.

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

FastInfra — Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

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

FastInfra

  • 785+ models via router — broad catalog coverage
  • Own H200 GPU capacity for low-latency inference
  • Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model

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

FastInfra

  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model
  • Limited benchmark transparency

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

FastInfra is a inference api, founded in 2024. 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 FastInfra 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.