Baseten vs Hyperbolic: Token Pricing, Speed & Intelligence
Full comparison of Baseten and Hyperbolic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Baseten
Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection
Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.
Hyperbolic
GPU marketplace + inference API — Llama 4, DeepSeek V4 Pro, and H100/H200 on-demand
Hyperbolic operates both a GPU marketplace and a serverless inference API. The inference catalog has expanded in 2026 to include Llama 4 Scout/Maverick, DeepSeek V4 Pro, Kimi K3, and Qwen3 alongside the existing Llama 3.x and DeepSeek R1 lineup. The GPU marketplace offers H100 and H200 instances at spot-market rates, making Hyperbolic a dual-purpose platform for both managed inference and raw compute.
Key metric comparison
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$0.10
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$0.10
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300 tok/s
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220ms
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83/100
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131K
Live token pricing
No live pricing data available.
← Swipe to see all columns
| Model | Input | Output |
|---|---|---|
| meta-llama/Llama-3.3-70B-Instruct | $0.40EST Jul 2026 | $0.40 |
| deepseek-ai/DeepSeek-R1 | $0.50EST Jul 2026 | $2.00 |
| meta-llama/Llama-4-Scout-17B-16E-Instruct | $0.10EST Jul 2026 | $0.10 |
| Qwen/Qwen3-235B-A22B | $0.30EST Jul 2026 | $0.30 |
Strengths and weaknesses
Baseten
Hyperbolic
Key differentiators
The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.
A provider combining a GPU marketplace (H100/H200 spot pricing) with a broad open-weight inference API — covering both managed inference and raw compute from a single platform.
Frequently asked questions
Baseten FAQs
What is Baseten?
Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.
How does Baseten differ from Together AI or Replicate?
Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.
What GPUs does Baseten support?
Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.
Hyperbolic FAQs
What models does Hyperbolic offer in 2026?
Hyperbolic hosts Llama 4 Scout and Maverick, DeepSeek V4 Pro, Kimi K3, Qwen3, Llama 3.3 70B, DeepSeek R1, and other popular open-weight models. The catalog is updated frequently as new models are released.
Does Hyperbolic offer GPU compute as well as inference?
Yes. Hyperbolic operates a GPU marketplace offering H100 and H200 instances at spot-market rates. This makes it a dual-purpose platform for teams that need both managed inference and raw GPU access.
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. GPU marketplace rates are competitive with other spot GPU providers.
Provider resources
Key strengths compared
Baseten
- Full control over model serving: custom preprocessing, postprocessing, and business logic
- Bring your own weights — deploy any HuggingFace model or custom fine-tune
- GPU selection: H100, A100, A10G, T4 with per-second billing
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
Hyperbolic
- GPU marketplace: H100 and H200 at spot-market rates
- Expanded 2026 inference catalog: Llama 4, DeepSeek V4 Pro, Kimi K3, Qwen3
- Among the lowest per-token prices for open-weight inference
- Less established reliability than larger providers
- Throughput lower than Groq/Cerebras for speed-critical apps
Key weaknesses compared
Baseten
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
- Pricing is higher than shared inference APIs for low-volume workloads
Hyperbolic
- Less established reliability than larger providers
- Throughput lower than Groq/Cerebras for speed-critical apps
- No fine-tuning support
Provider category context
Baseten is a inference api, founded in 2019. Hyperbolic 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 Baseten and Hyperbolic 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.