Hyperbolic vs SambaNova Cloud: Token Pricing, Speed & Intelligence
Full comparison of Hyperbolic and SambaNova Cloud — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
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.
SambaNova Cloud
High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama
SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Hyperbolic
SambaNova Cloud
Key differentiators
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.
Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.
Frequently asked questions
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.
SambaNova Cloud FAQs
What makes SambaNova Cloud different?
SambaNova runs inference on its own Reconfigurable Dataflow Unit (RDU) chips rather than NVIDIA GPUs. This delivers very high throughput — over 800 tokens/sec on gpt-oss-120b — at competitive per-token rates.
What models does SambaNova Cloud offer?
As of October 2026: gpt-oss-120b ($0.22/$0.59), GLM-5.3 ($1.40/$4.40, cached $0.14), MiniMax-M3 ($0.60/$2.40, cached $0.06), DeepSeek-V3.2 ($3.00/$4.50), Meta-Llama-3.3-70B ($0.60/$1.20), and Gemma 4 31B ($0.38/$1.15). See cloud.sambanova.ai/plans/pricing for current rates.
Does SambaNova offer prompt caching?
Yes, on GLM-5.3 (cached input $0.14/1M vs $1.40/1M standard) and MiniMax-M3 (cached input $0.06/1M vs $0.60/1M standard).
Provider resources
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.
SambaNova Cloud — High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama
SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.
Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.
Key strengths compared
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
SambaNova Cloud
- Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
- Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
- Prompt caching on GLM-5.3 (cached input at $0.14/1M)
- Smaller model catalog vs OpenRouter or Together AI
- No proprietary frontier models — inference-only platform
Key weaknesses compared
Hyperbolic
- Less established reliability than larger providers
- Throughput lower than Groq/Cerebras for speed-critical apps
- No fine-tuning support
SambaNova Cloud
- Smaller model catalog vs OpenRouter or Together AI
- No proprietary frontier models — inference-only platform
- RDU architecture may behave differently from GPU inference for some workloads
Provider category context
Hyperbolic is a inference api, founded in 2023. SambaNova Cloud is a inference api, founded in 2017. 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 Hyperbolic and SambaNova Cloud 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.