Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 2 70B Chat on GCP Vertex AI?
GCP Vertex AI offers Llama 2 70B Chat with pay-as-you-go pricing at $0.80/1M 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 2 70B Chat across 14 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")llama2-70b-chatRequest 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("llama2-70b-chat")
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 2 70B Chat Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Databricks Foundation Model Serving | $0.50 | $1.50 |
| Microsoft Foundry | $1.54 | $1.77 |
| GCP Vertex AI | $0.80 | $2.40 |
| Alibaba Cloud PAI-EAS | — | — |
| AWS Bedrock | $1.95 | $2.56 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.80 |
| Output tokens | $2.40 |
Capabilities
About Llama 2 70B Chat
Llama 2 70B Chat is a large-scale language model with 70 billion parameters, designed for conversational AI applications. Released on July 18, 2023, it's part of Meta's Llama 2 family, featuring advanced transformer architecture optimized through supervised fine-tuning and reinforcement learning with human feedback. The model excels in generating human-like responses, outperforming many open-source alternatives and rivaling closed-source models like ChatGPT. Trained on 2 trillion tokens from diverse public sources, it's suitable for commercial and research applications in English, particularly for assistant-like functionalities. The model is available on Hugging Face for further exploration and implementation .
FAQ
What does Llama 2 70B Chat cost on GCP Vertex AI?
On GCP Vertex AI, Llama 2 70B Chat costs $0.80 per 1M input tokens and $2.40 per 1M output tokens.
What is the context window for Llama 2 70B Chat on GCP Vertex AI?
Llama 2 70B Chat supports a 4,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Llama 2 70B Chat providers?
Llama 2 70B Chat is available from 14 providers. The cheapest input pricing is $0.5/1M tokens from Databricks Foundation Model Serving.
Who created Llama 2 70B Chat?
Llama 2 70B Chat was created by AI at Meta as part of the Llama 2 model family.
Is Llama 2 70B Chat open source?
Llama 2 70B Chat is open source according to the seed data.