Celeris AI vs Hyperbolic: Token Pricing, Speed & Intelligence
Full comparison of Celeris AI and Hyperbolic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Celeris AI
High-throughput frontier reasoning with Celeris-1
Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.
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.
Key metrics
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Live token pricing
Strengths & weaknesses
Celeris AI
Hyperbolic
Key differentiators
Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.
One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.
Frequently asked questions
Celeris AI FAQs
What is Celeris AI?
Celeris AI is a frontier AI lab that develops high-throughput reasoning models. Their flagship Celeris-1 model targets the intersection of strong reasoning capability and fast inference.
How does Celeris-1 compare to o3 and Claude Opus?
Celeris-1 sits in the same intelligence score range as o3 and Claude Opus 5, with competitive throughput. It is priced similarly to Claude Opus 5 at $3/1M input and $15/1M output.
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.
Provider resources
Celeris AI — High-throughput frontier reasoning with Celeris-1
Celeris AI is a frontier AI lab focused on high-throughput reasoning models. Celeris-1 is their flagship model, combining strong benchmark performance on coding, math, and agentic tasks with competitive inference speed. The model supports a 256K-token context window, prompt caching, and function calling.
Celeris-1 targets the gap between o3-class reasoning quality and GPT-4o-class speed, offering frontier-tier intelligence scores at throughput rates competitive with non-reasoning models.
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.
One of the most affordable inference marketplaces for open-weight models — ideal for researchers and cost-sensitive workloads.
Key strengths compared
Celeris AI
- ▸Strong reasoning and coding benchmarks
- ▸High throughput at frontier tier
- ▸Competitive prompt caching pricing
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
Provider category context
Celeris AI is a frontier lab, founded in 2025. Hyperbolic is a inference api, founded in 2023. Celeris AI as a frontier lab trains and serves its own proprietary models. Hyperbolic as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose Celeris AI if you need strong reasoning and coding benchmarks. Choose Hyperbolic if you need among the lowest prices for open-weight model inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.