Hyperbolic vs Together AI: Token Pricing, Speed & Intelligence

Full comparison of Hyperbolic and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Hyperbolic

Open-source inference marketplace — Llama, DeepSeek R1, and more

Hyperbolic provides a marketplace for open-source model inference, hosting Llama 3.3, DeepSeek R1, and other popular models at competitive prices. Their platform emphasises accessibility and affordability, making frontier open-weight models available to developers and researchers at low cost.

Cost-efficiencyResearchOpen-sourceExperimentationBudget workloads

Open-weight hostHosts open weights

Together AI

Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

Open-sourceFine-tuningCodingChatCost-efficiency

Open-weight hostHosts open weights

Key metrics

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 & weaknesses

Hyperbolic

Among the lowest prices for open-weight model inference

DeepSeek R1 and Llama 3.3 available at competitive rates

Marketplace model — broad model selection

OpenAI-compatible API

Good for research and experimentation

Less established reliability than larger providers

Throughput lower than Groq/Cerebras for speed-critical apps

No fine-tuning support

Together AI

Largest selection of open-weight models

Fine-tuning support for custom model training

OpenAI-compatible API — easy migration

Competitive pricing on Llama 3.x models

Supports 405B parameter models

No proprietary frontier models

Throughput lower than Groq/Cerebras for speed-critical apps

Fine-tuning adds complexity vs. pure inference providers

Key differentiators

Hyperbolic

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

Together AI

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Frequently asked questions

Hyperbolic FAQs

What models does Hyperbolic offer?

Hyperbolic hosts Llama 3.3 70B, DeepSeek R1, and other popular open-weight models. Their marketplace approach means the catalog evolves frequently.

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. This makes it attractive for high-volume or cost-sensitive workloads.

Is Hyperbolic reliable for production use?

Hyperbolic is newer and less established than providers like Together AI or Fireworks AI. It's well-suited for research, prototyping, and cost-sensitive workloads, but for mission-critical production use, a more established provider may be preferable.

Together AI FAQs

What models does Together AI support?

Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.

How much does Together AI cost?

Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.

Does Together AI support fine-tuning?

Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

Provider resources

Hyperbolic

Provider page Website Pricing Docs

Together AI

Provider page Website Pricing Docs

Hyperbolic — Open-source inference marketplace — Llama, DeepSeek R1, and more

One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.

Together AI — Open-source model hosting with competitive inference pricing

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Key strengths compared

Hyperbolic

▸Among the lowest prices for open-weight model inference
▸DeepSeek R1 and Llama 3.3 available at competitive rates
▸Marketplace model — broad model selection

Together AI

▸Largest selection of open-weight models
▸Fine-tuning support for custom model training
▸OpenAI-compatible API — easy migration

Provider category context

Hyperbolic is a inference api, founded in 2023. Together AI is a inference api, founded in 2022. 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 Together AI 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.