Hyperbolic vs Together AI: Inference & Compute Comparison
Compare Hyperbolic and Together AI side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
The short answer
Choose Hyperbolic if decentralized.
Choose Together AI if competitive pricing starting at USD 0.10 per million tokens.
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Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | usage-based | Usage-based |
| Best For | Developers seeking low-cost inference alternatives | Developers and companies deploying open-source AI models in production |
| Website | hyperbolic.xyz | together.ai |
| Key Features |
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| Use Cases | — |
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Pros & Cons: Hyperbolic vs Together AI
- +Decentralized
- +Cost-effective
- −Early adoption
- +Competitive pricing starting at USD 0.10 per million tokens
- +50 percent discounts on batch inference and prompt caching
- +Strong backing from NVIDIA and Salesforce Ventures
- +Flexible deployment with both serverless and dedicated options
- −Focused on open-source models may limit access to proprietary models
- −Per-minute billing for dedicated GPUs can be complex to predict
- −Newer platform with less extensive documentation than established providers
- −Pricing varies significantly by model making cost planning difficult
Pricing: Hyperbolic vs Together AI
- · Core features
- · Advanced features
- · Custom
- · Pay-as-you-go
- · Multiple open-source models
- · USD 5 free credit
- · Llama 3 70B at USD 0.90/M tokens
- · Bulk processing discount
- · Async execution
- · Cost optimization
- · H100, H200 GPUs
- · Reserved capacity
- · Production workloads
- · Custom pricing
When to Choose Hyperbolic vs Together AI
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About Hyperbolic
Hyperbolic is decentralized GPU marketplace for AI inference and training. Cost-effective compute.
About Together AI
Together AI is a cloud-based platform for building with open-source generative AI, founded on June 11, 2022 in San Francisco by Ce Zhang, Chris Re, Percy Liang, and Vipul Ved Prakash. The company raised USD 305 million in Series B funding in 2025 with participation from industry leaders including NVIDIA and Salesforce Ventures. Together AI provides serverless inference with pay-as-you-go pricing starting from USD 0.10 per million tokens for small models and USD 0.90 for Llama 3 70B, with a free USD 5 credit to start. The platform offers a 50 percent discount on batch inference and 50 percent savings on prompt caching for repetitive queries. For teams requiring dedicated resources, Together AI provides GPU endpoints billed per minute, with high-end H100 and H200 GPUs available. The platform specializes in open-source model deployment and provides instant GPU clusters for training and inference workloads. Together AI has become a leading platform for teams building with open-source AI models, offering both serverless convenience and dedicated infrastructure options.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
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