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Hyperbolic vs Voyage AI: Token Pricing, Speed & Intelligence

Full comparison of Hyperbolic and Voyage 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

Voyage AI

State-of-the-art embedding and reranking models

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants consistently top the MTEB leaderboard for retrieval quality.

RAG pipelinesSemantic searchDocument retrievalReranking
Proprietary models

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

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

Voyage AI

Top MTEB leaderboard performance
Multimodal embedding support
Very competitive pricing
Embeddings and reranking only — no chat models
Smaller ecosystem than OpenAI

Key differentiators

Hyperbolic

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

Voyage AI

Voyage 3.5 Lite offers top-tier retrieval quality at just $0.02/1M tokens — the most cost-effective high-quality embedding available.

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.

Voyage AI FAQs

What is Voyage AI used for?

Voyage AI provides embedding and reranking models for RAG pipelines, semantic search, and document retrieval. It does not offer chat or text generation models.

How does Voyage AI compare to OpenAI embeddings?

Voyage 3.5 consistently outperforms OpenAI text-embedding-3-large on MTEB benchmarks while being significantly cheaper. It is the preferred choice for production RAG systems.

Provider resources

HyperbolicOpen-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.

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

Voyage AIState-of-the-art embedding and reranking models

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants consistently top the MTEB leaderboard for retrieval quality.

Voyage 3.5 Lite offers top-tier retrieval quality at just $0.02/1M tokens — the most cost-effective high-quality embedding available.

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

Voyage AI

  • Top MTEB leaderboard performance
  • Multimodal embedding support
  • Very competitive pricing

Provider category context

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