Last refreshed 2026-07-09. Next refresh: weekly.
Why use Llama 3 70B Instruct on Hyperbolic AI Inference?
Hyperbolic AI Inference offers Llama 3 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 70B Instruct across 18 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: llama3-70b-instructllama3-70b-instructRequest example
llama3-70b-instruct.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare Llama 3 70B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GCP Vertex AI | $1.20 | $3.60 |
| AWS Bedrock | $0.99 | $0.99 |
| Microsoft Foundry | $3.78 | $11.34 |
| NVIDIA NIM | — | — |
| DeepInfra | $0.45 | $0.65 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.40 |
| Output tokens | $0.40 |
Capabilities
About Llama 3 70B Instruct
The Llama 3 70B Instruct model is a large language model with 70 billion parameters, released by Meta on April 18, 2024. It's an instruction-tuned variant optimized for conversational applications, utilizing an advanced auto-regressive transformer architecture. The model excels in following instructions and engaging in dialogue, having been trained on over 15 trillion tokens with a December 2023 knowledge cutoff. It demonstrates superior performance on industry benchmarks, scoring 82.0 on the MMLU (5-shot) test. The model incorporates extensive safety measures and optimizations, including RLHF, to enhance helpfulness and reduce harmful content generation.