Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 2 13B Chat on GCP Vertex AI?
GCP Vertex AI offers Llama 2 13B Chat with pay-as-you-go pricing at $0.16/1M 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 13B Chat across 12 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")llama2-13b-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("llama2-13b-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 13B Chat Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Alibaba Cloud PAI-EAS | — | — |
| AWS Bedrock | $0.75 | $1.00 |
| Microsoft Foundry | $0.81 | $0.94 |
| GCP Vertex AI | $0.16 | $0.48 |
| Cloudflare Workers AI | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.16 |
| Output tokens | $0.48 |
Capabilities
About Llama 2 13B Chat
The Llama 2 13B Chat model is a 13 billion parameter generative text model developed by Meta, optimized for conversational applications. Released on July 18, 2023, it's part of the Llama 2 family and excels in dialogue scenarios. The model leverages supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to generate coherent and contextually relevant responses. Trained on 2 trillion tokens from diverse public sources, it outperforms many open-source chat models and matches popular closed-source models in helpfulness and safety. This model is ideal for AI engineers working on chatbots, virtual assistants, and customer service automation. For more details, visit the model's Hugging Face page [1].
FAQ
What does Llama 2 13B Chat cost on GCP Vertex AI?
On GCP Vertex AI, Llama 2 13B Chat costs $0.16 per 1M input tokens and $0.48 per 1M output tokens.
What is the context window for Llama 2 13B Chat on GCP Vertex AI?
Llama 2 13B Chat supports a 4,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Llama 2 13B Chat providers?
Llama 2 13B Chat is available from 12 providers. The cheapest input pricing is $0.10/1M tokens from Replicate API.
Who created Llama 2 13B Chat?
Llama 2 13B Chat was created by AI at Meta as part of the Llama 2 model family.
Is Llama 2 13B Chat open source?
Llama 2 13B Chat is open source according to the seed data.