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Why use Llama 4 Maverick 17B Instruct FP8 on GCP Vertex AI?
GCP Vertex AI offers Llama 4 Maverick 17B Instruct FP8 with pay-as-you-go pricing at $0.35/1M 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 Maverick 17B Instruct FP8 across 7 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-maverick-17b-128e-instruct-fp8Request 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-maverick-17b-128e-instruct-fp8")
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 Maverick 17B Instruct FP8 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.35 | $1.41 |
| Together AI | $0.27 | $0.85 |
| OpenRouter | $0.15 | $0.60 |
| Fireworks AI | — | — |
| DeepInfra | $0.15 | $0.60 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.35 |
| Output tokens | $1.15 |
Capabilities
About Llama 4 Maverick 17B Instruct FP8
Meta's Llama 4 Maverick 17B with 128 experts, FP8-optimized for cost-efficient inference. Supports native Model Router integration on Microsoft Foundry.
FAQ
What does Llama 4 Maverick 17B Instruct FP8 cost on GCP Vertex AI?
On GCP Vertex AI, Llama 4 Maverick 17B Instruct FP8 costs $0.35 per 1M input tokens and $1.15 per 1M output tokens.
What is the context window for Llama 4 Maverick 17B Instruct FP8 on GCP Vertex AI?
Llama 4 Maverick 17B Instruct FP8 supports a 1,000,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Llama 4 Maverick 17B Instruct FP8 providers?
Llama 4 Maverick 17B Instruct FP8 is available from 7 providers. The cheapest input pricing is $0.15/1M tokens from OpenRouter.
Who created Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 was created by AI at Meta as part of the Llama 4 model family.
Is Llama 4 Maverick 17B Instruct FP8 open source?
Llama 4 Maverick 17B Instruct FP8 is open source according to the seed data.