---
title: "llama-3.1-8b-instruct-maas - Model Details & Comparison"
description: "llama-3.1-8b-instruct-maas from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/llama-3.1-8b-instruct-maas"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/llama-3.1-8b-instruct-maas.md"
---

# llama-3.1-8b-instruct-maas - Model Details & Comparison

> llama-3.1-8b-instruct-maas from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

- [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md)
- [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features)
- [Enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise)
- [Pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo)

## About llama-3.1-8b-instruct-maas

llama-3.1-8b-instruct-maas is a chat model from Vertex AI. llama-3.1-8b-instruct-maas supports vision. It accepts up to 128K input tokens.

## Specifications

- **Google Vertex AI Provider.**
- **Chat Mode.**
- **128,000 Max Input Tokens.**
- **2,048 Max Output Tokens.**
- **2,048 Max Tokens.**
- **$0.0000 / 1M tokens Input Price.**
- **$0.0000 / 1M tokens Output Price.**

## Capabilities

llama-3.1-8b-instruct-maas supports: Vision, System Messages, Tool Choice.

## llama-3.1-8b-instruct-maas Pricing Overview

llama-3.1-8b-instruct-maas is a chat model from Vertex AI, with support for vision.

## Models to Compare

Alternatives to llama-3.1-8b-instruct-maas with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 |
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 |
| amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 |
| apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 |
| apac.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 |

- [Compare amazon.nova-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-lite-v1-0.md)
- [Compare amazon.nova-2-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-2-lite-v1-0.md)
- [Compare amazon.nova-2-pro-preview-20251202-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-2-pro-preview-20251202-v1-0.md)
- [Compare apac.amazon.nova-2-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/apac.amazon.nova-2-lite-v1-0.md)
- [Compare apac.amazon.nova-2-pro-preview-20251202-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/apac.amazon.nova-2-pro-preview-20251202-v1-0.md)

## Related Resources

- [Calculate llama-3.1-8b-instruct-maas costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai/model/llama-3.1-8b-instruct-maas.md)
- [All Vertex AI pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai.md)

## FAQ

### Is llama-3.1-8b-instruct-maas cheaper than amazon.nova-lite-v1:0?

Yes. llama-3.1-8b-instruct-maas costs $0.0000 per 1M input tokens compared to amazon.nova-lite-v1:0's $0.06 per 1M input tokens. Both are chat models and share support for vision, function calling, prompt caching, structured output.

### What are the best alternatives to llama-3.1-8b-instruct-maas?

The most comparable chat models to llama-3.1-8b-instruct-maas are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

### How do I calculate llama-3.1-8b-instruct-maas costs?

llama-3.1-8b-instruct-maas is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.0000 and generating 1M output tokens costs $0.0000.

## Related Resources

- [Google Vertex AI models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/vertex_ai.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md)
- [Enterprise: Bifrost enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise)
- [Book a Demo: Bifrost demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo)
- [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md)

---

*This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/llama-3.1-8b-instruct-maas](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/llama-3.1-8b-instruct-maas) for AI/LLM consumption.*
