FastInfra vs Hyperbolic: Token Pricing, Speed & Intelligence
Full comparison of FastInfra and Hyperbolic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
FastInfra
Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity
FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.
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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Live token pricing
Strengths and weaknesses
FastInfra
Hyperbolic
Key differentiators
Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.
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
FastInfra FAQs
What is FastInfra?
FastInfra is a hybrid inference platform combining a 785+ model router with its own H200 GPU capacity. It offers Amazon Nova Lite ($0.06/$0.25 per 1M tokens) and Nova Micro ($0.04/$0.15), with prepaid credits from $5. See fastinfra.ai/pricing for current rates.
Does FastInfra have its own GPU capacity?
Yes. FastInfra operates its own H200 GPU infrastructure alongside a model router, so some models run on dedicated capacity rather than being routed to third-party providers.
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
FastInfra — Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity
FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.
Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.
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.
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.
Key strengths compared
FastInfra
- 785+ models via router — broad catalog coverage
- Own H200 GPU capacity for low-latency inference
- Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
- Newer provider — limited ecosystem integrations and third-party reviews
- Hybrid router/own-capacity model means latency may vary by model
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
FastInfra
- Newer provider — limited ecosystem integrations and third-party reviews
- Hybrid router/own-capacity model means latency may vary by model
- Limited benchmark transparency
Hyperbolic
- Less established reliability than larger providers
- Throughput lower than Groq/Cerebras for speed-critical apps
- No fine-tuning support
Provider category context
FastInfra is a inference api, founded in 2024. 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 FastInfra 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.