Tool A
Hyperbolic
Decentralized GPU cloud & open-source AI inference engine
Tool B
Together AI
The fastest cloud for open-source AI
Choose this if…
Hyperbolic
- 1You need Free Tier
- 2You need Audio Output
- 3You need Plugins
- 4You prefer a freemium model to test first
Choose this if…
Together AI
- 1You need Open Source
- 2You need power-user and advanced features
Overview
Hyperbolic is a decentralized AI computing network and inference platform that provides high-performance, cost-effective GPU compute and open-access LLM APIs. By aggregating global GPU infrastructure with cryptographic verification of compute, Hyperbolic delivers up to 75% cost savings on frontier open-source model inference compared to traditional cloud hyperscalers. Hyperbolic serves the fastest and most affordable APIs for open-source models including DeepSeek R1/V3, Llama 3.3 70B, Qwen 2.5, and SDXL with full OpenAI-compatible API endpoints.
Hyperbolic features proprietary proof-of-sampling verification protocols to guarantee computation correctness across distributed nodes. Developers can provision on-demand and spot GPU clusters (NVIDIA H100s, H200s, and B200s) or access high-throughput serverless inference with instant autoscaling. With sub-second time-to-first-token (TTFT) and global low-latency edge routing, Hyperbolic is built for high-volume enterprise production workloads.
A cloud platform for fine-tuning and running the world's leading open-source AI models at scale.
Supports over 100+ open models including Flux, Llama, and Qwen.
Features Comparison
22 totalPricing & Plans
Free tier with $10 in trial credits for inference and playground testing.
Ultra-low-cost pay-as-you-go inference (DeepSeek V3 / R1 starting at $0.20/1M tokens) and on-demand GPU clusters (H100, B200) from $1.50/hr.
Pros & Cons
Pros
Industry-leading low pricing for DeepSeek V3/R1 and Llama 3.3 inference
100% OpenAI API compatible for drop-in replacement in existing codebases
Cryptographically verified decentralized GPU infrastructure
On-demand and spot NVIDIA H100/H200 cluster rentals
Ultra-low latency TTFT with global edge routing
Cons
Focuses exclusively on open-source models (proprietary models like Claude/GPT require original vendors)
Spot instance availability varies by global region
Pros
Massive model library
Affordable pricing
Fast fine-tuning
Cons
Strictly for developers
No consumer web interface
Use Cases
The Verdict
Hyperbolic
11/22 features · ⭐4.8
Hyperbolic is a decentralized AI computing network and inference platform that provides high-performance, cost-effective GPU compute and open-access LLM APIs. B…
Together AI
8/22 features · ⭐4.7
A cloud platform for fine-tuning and running the world's leading open-source AI models at scale.…
Both Hyperbolic and Together AI are capable AI tools serving distinct use cases. Hyperbolic leads on raw feature breadth (11 vs 8), making it a stronger choice if you need maximum capability.
Frequently Asked Questions
What is the main difference between Hyperbolic and Together AI?
Hyperbolic — "Decentralized GPU cloud & open-source AI inference engine" — focuses on code-ai, data-ai, productivity-ai, while Together AI — "The fastest cloud for open-source AI" — targets agent-ai, image-ai. The key differences lie in their feature sets and pricing models.
Is Hyperbolic free to use?
Yes, Hyperbolic offers a free tier. Free tier with $10 in trial credits for inference and playground testing.
Is Together AI free to use?
Together AI does not currently offer a free tier. Usage-based
Which is better: Hyperbolic or Together AI?
It depends on your use case. Hyperbolic is rated ⭐4.8 and is best suited for ai-engineers, developers, startups. Together AI is rated ⭐4.7 and is ideal for developers, researchers. Use this comparison to evaluate features that matter to your workflow.
Does Hyperbolic have an API?
Yes, Hyperbolic provides API access for developers and integrations.
More AI Matchups
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