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.
- 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
- Dual-purpose: managed inference API + raw GPU compute
- OpenAI-compatible API
- Good for research, prototyping, and cost-sensitive production
- Less established reliability than larger providers
- Throughput lower than Groq/Cerebras for speed-critical apps
- No fine-tuning support
Hyperbolic Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
Llama-4-Scout-17B-16E-Instruct Llama 4 | Chat | budget | $0.10/ $0.10 in / out per 1M EST Jul 2026 | — | 220ms | 300 t/s | 131K | 68 | ||
Qwen3-235B-A22B Qwen3 | Chat | advanced | $0.30/ $0.30 in / out per 1M EST Jul 2026 | — | 1.1s | 60 t/s | 131K | 83 | ||
Llama-3.3-70B-Instruct Llama 3.3 | Chat | efficient | $0.40/ $0.40 in / out per 1M EST Jul 2026 | — | 290ms | 240 t/s | 131K | 64 | ||
DeepSeek-R1 DeepSeek R1 | Chat | advanced | $0.50/ $2.00 in / out per 1M EST Jul 2026 | — | 1.5s | 65 t/s | 66K | 82 |
Hyperbolic — Frequently Asked Questions (FAQs)
Similar Providers
Hyperbolic Reviews
All LLM Providers
Full comparison tableHyperbolic LLM pricing overview
Hyperbolic is an inference API provider that hosts open-weight and third-party large language models. 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. Common use cases include Cost-efficiency, GPU compute, Research, Open-source. Headquartered in San Francisco, CA, founded 2023. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Hyperbolic vs other LLM providers
Hyperbolic competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. 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. Use the LLM provider comparison tool to see Hyperbolic token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Hyperbolic?
Hyperbolic stands out because: 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.. The API currently offers 4 models, spanning 2 advanced, 1 efficient, 1 budget tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Hyperbolic token pricing
Hyperbolic charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. The cheapest {meta.name} input rate is currently $0.10/1M tokens. Prices shown are sourced from Hyperbolic's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Hyperbolic context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Hyperbolic's largest context window is 131K tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Hyperbolic makes sense
Managed inference APIs like Hyperbolic eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Hyperbolic API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Hyperbolic token price data is available in the LLM price history charts.
Compare Hyperbolic With Another LLM Provider
Compare Hyperbolic vs other providers
Side-by-side token pricing, latency, throughput, and context window. View all LLM provider comparisons →