Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 3.1 70B Instruct on Hyperbolic AI Inference?
Hyperbolic AI Inference offers Llama 3.1 70B Instruct with pay-as-you-go pricing at $0.40/1M input tokens. Hyperbolic is building an open-access AI cloud platform that provides affordable inference and compute resources for AI applications.
Compare Llama 3.1 70B Instruct across 14 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: llama3.1-70b-instructllama3.1-70b-instructRequest example
llama3.1-70b-instruct.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Llama 3.1 70B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | — | — |
| OctoAI API (Deprecated) | — | — |
| Together AI | $0.88 | $0.88 |
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.40 |
| Output tokens | $0.40 |
Capabilities
About Llama 3.1 70B Instruct
The Llama 3.1 70B Instruct model is a cutting-edge large language model with 70 billion parameters, designed for instruction-following tasks. It features multilingual capabilities, supporting languages like English, German, French, and others. Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), it excels in understanding and responding to user instructions. The model can handle a context length of up to 128k tokens, making it suitable for complex dialogue systems and applications requiring detailed responses.