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Hyperbolic vs Telnyx: Token Pricing, Speed & Intelligence

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

Hyperbolic

GPU marketplace + inference API — Llama 4, DeepSeek V4 Pro, and H100/H200 on-demand

Hyperbolic operates both a GPU marketplace and a serverless inference API. The inference catalog has expanded in 2026 to include Llama 4 Scout/Maverick, DeepSeek V4 Pro, Kimi K3, and Qwen3 alongside the existing Llama 3.x and DeepSeek R1 lineup. The GPU marketplace offers H100 and H200 instances at spot-market rates, making Hyperbolic a dual-purpose platform for both managed inference and raw compute.

Cost-efficiencyGPU computeResearchOpen-sourcePrototypingBudget production
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

Hyperbolic

GPU marketplace: H100 and H200 at spot-market rates
Expanded 2026 inference catalog: Llama 4, DeepSeek V4 Pro, Kimi K3, Qwen3
Among the lowest per-token prices for open-weight inference
Dual-purpose: managed inference API + raw GPU compute
OpenAI-compatible API
Good for research, prototyping, and cost-sensitive production
Less established reliability than larger providers
Throughput lower than Groq/Cerebras for speed-critical apps
No fine-tuning support

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

Hyperbolic

A provider combining a GPU marketplace (H100/H200 spot pricing) with a broad open-weight inference API — covering both managed inference and raw compute from a single platform.

Telnyx

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

Frequently asked questions

Hyperbolic FAQs

What models does Hyperbolic offer in 2026?

Hyperbolic hosts Llama 4 Scout and Maverick, DeepSeek V4 Pro, Kimi K3, Qwen3, Llama 3.3 70B, DeepSeek R1, and other popular open-weight models. The catalog is updated frequently as new models are released.

Does Hyperbolic offer GPU compute as well as inference?

Yes. Hyperbolic operates a GPU marketplace offering H100 and H200 instances at spot-market rates. This makes it a dual-purpose platform for teams that need both managed inference and raw GPU access.

How does Hyperbolic pricing compare to competitors?

Hyperbolic is among the most affordable options for open-weight model inference, often undercutting Together AI and Fireworks AI on price. GPU marketplace rates are competitive with other spot GPU 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

Hyperbolic — GPU marketplace + inference API — Llama 4, DeepSeek V4 Pro, and H100/H200 on-demand

Hyperbolic operates both a GPU marketplace and a serverless inference API. The inference catalog has expanded in 2026 to include Llama 4 Scout/Maverick, DeepSeek V4 Pro, Kimi K3, and Qwen3 alongside the existing Llama 3.x and DeepSeek R1 lineup. The GPU marketplace offers H100 and H200 instances at spot-market rates, making Hyperbolic a dual-purpose platform for both managed inference and raw compute.

A provider combining a GPU marketplace (H100/H200 spot pricing) with a broad open-weight inference API — covering both managed inference and raw compute from a single platform.

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

Hyperbolic

  • GPU marketplace: H100 and H200 at spot-market rates
  • Expanded 2026 inference catalog: Llama 4, DeepSeek V4 Pro, Kimi K3, Qwen3
  • Among the lowest per-token prices for open-weight inference
  • Less established reliability than larger providers
  • Throughput lower than Groq/Cerebras for speed-critical apps

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

Hyperbolic

  • Less established reliability than larger providers
  • Throughput lower than Groq/Cerebras for speed-critical apps
  • No fine-tuning support

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

Hyperbolic is a inference api, founded in 2023. 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 Hyperbolic 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.