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Why use Llama 3 70B Instruct on GCP Vertex AI?
GCP Vertex AI offers Llama 3 70B Instruct with pay-as-you-go pricing at $1.20/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Llama 3 70B Instruct across 17 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-cloud-aiplatformexport GOOGLE_CLOUD_PROJECT=...import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")llama3-70b-instructRequest example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("llama3-70b-instruct")
response = model.generate_content("Hello")
print(response.text)Gotchas
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
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 | $1.20 |
| Output tokens | $3.60 |
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. For more details, visit the model's Hugging Face page [1].
FAQ
What does Llama 3 70B Instruct cost on GCP Vertex AI?
On GCP Vertex AI, Llama 3 70B Instruct costs $1.20 per 1M input tokens and $3.60 per 1M output tokens.
What is the context window for Llama 3 70B Instruct on GCP Vertex AI?
Llama 3 70B Instruct supports a 8,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Llama 3 70B Instruct providers?
Llama 3 70B Instruct is available from 17 providers. The cheapest input pricing is $0.40/1M tokens from Hyperbolic AI Inference.
Who created Llama 3 70B Instruct?
Llama 3 70B Instruct was created by AI at Meta as part of the Llama 3 model family.
Is Llama 3 70B Instruct open source?
Llama 3 70B Instruct is open source according to the seed data.