Last refreshed 2026-05-11. Next refresh: weekly.
Why use Llama 4 Scout 17B-16E Instruct on GCP Vertex AI?
GCP Vertex AI offers Llama 4 Scout 17B-16E Instruct with pay-as-you-go pricing at $0.20/1M 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 4 Scout 17B-16E Instruct across 9 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")llama-4-scout-17b-16e-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("llama-4-scout-17b-16e-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 4 Scout 17B-16E Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.08 | $0.30 |
| Together AI | — | — |
| Fireworks AI | — | — |
| DeepInfra | $0.08 | $0.30 |
| GCP Vertex AI | $0.20 | $0.65 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.65 |
Capabilities
About Llama 4 Scout 17B-16E Instruct
Meta's Llama 4 Scout is a 17-billion parameter mixture-of-experts model with 16 expert routing. Optimized for efficient inference on edge and cloud environments with strong multi-turn conversation capabilities. Available on Cloudflare Workers AI.
FAQ
What does Llama 4 Scout 17B-16E Instruct cost on GCP Vertex AI?
On GCP Vertex AI, Llama 4 Scout 17B-16E Instruct costs $0.20 per 1M input tokens and $0.65 per 1M output tokens.
What is the context window for Llama 4 Scout 17B-16E Instruct on GCP Vertex AI?
Llama 4 Scout 17B-16E Instruct supports a 328,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Llama 4 Scout 17B-16E Instruct providers?
Llama 4 Scout 17B-16E Instruct is available from 9 providers. The cheapest input pricing is $0.08/1M tokens from OpenRouter.
Who created Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct was created by AI at Meta as part of the Llama 4 model family.
Is Llama 4 Scout 17B-16E Instruct open source?
Llama 4 Scout 17B-16E Instruct is open source according to the seed data.