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Llama 3.1 70B Instruct on Hyperbolic AI Inference

Llama 3.1 · AI at Meta

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Last refreshed 2026-04-19. 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 11 providers to find the best fit for your use case
Input / 1M
$0.40
Output / 1M
$0.40
Cache
Not sourced
Batch
Not sourced

Setup recipe

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model: llama3.1-70b-instruct
Model ID
llama3.1-70b-instruct

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Curated snippets for this provider are not sourced yet. Use Hyperbolic AI Inference documentation with model ID llama3.1-70b-instruct.

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Compare Llama 3.1 70B Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
OctoAI API (Deprecated)$0.90$0.90
Together AI$0.88$0.88
Fireworks AI$0.90$0.90
NVIDIA NIM
Microsoft Foundry$2.68$3.54
View all 11 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.40
Output tokens$0.40

Capabilities

Structured Outputs

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. It outperforms many existing open-source and proprietary models on various industry benchmarks, making it ideal for conversational AI, content generation, and data synthesis tasks. For more details, visit the Hugging Face page [1].

FAQ

What does Llama 3.1 70B Instruct cost on Hyperbolic AI Inference?

On Hyperbolic AI Inference, Llama 3.1 70B Instruct costs $0.40 per 1M input tokens and $0.40 per 1M output tokens.

What is the context window for Llama 3.1 70B Instruct on Hyperbolic AI Inference?

Llama 3.1 70B Instruct supports a 128,000 token context window on Hyperbolic AI Inference.

How does Hyperbolic AI Inference compare to other Llama 3.1 70B Instruct providers?

Llama 3.1 70B Instruct is available from 11 providers. The cheapest input pricing is $0.40/1M tokens from Hyperbolic AI Inference.

Who created Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct was created by AI at Meta as part of the Llama 3.1 model family.

Is Llama 3.1 70B Instruct open source?

Llama 3.1 70B Instruct is open source according to the seed data.

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