---
title: "system.ai.llama-4-maverick - Model Details & Comparison"
description: "system.ai.llama-4-maverick from Databricks: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/databricks/system.ai.llama-4-maverick"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/databricks/system.ai.llama-4-maverick.md"
---

# system.ai.llama-4-maverick - Model Details & Comparison

> system.ai.llama-4-maverick from Databricks: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

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

## About system.ai.llama-4-maverick

system.ai.llama-4-maverick is a chat model from Databricks, one of 119 chat models they offer. It is priced at $0.50 per 1M input tokens and $1.50 per 1M output tokens, ranking 1830 out of 3793 chat models by cost and cheaper than 52% of models in this category. system.ai.llama-4-maverick supports vision. It accepts up to 128K input tokens.

## Specifications

- **Databricks Provider.**
- **Chat Mode.**
- **128,000 Max Input Tokens.**
- **16,384 Max Output Tokens.**
- **16,384 Max Tokens.**
- **$0.50 / 1M tokens Input Price.**
- **$1.50 / 1M tokens Output Price.**

## Capabilities

system.ai.llama-4-maverick supports: Vision.

## system.ai.llama-4-maverick Pricing Overview

At $0.50 per 1M input tokens and $1.50 per 1M output tokens, system.ai.llama-4-maverick ranks 1830 out of 3793 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 52% of models in this category.

system.ai.llama-4-maverick is one of 119 Databricks chat models, with support for vision.

## Models to Compare

Alternatives to system.ai.llama-4-maverick with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.43 | $3.60 |
| gpt-4.1-mini-2025-04-14 | Azure | $0.44 | $1.76 |
| kimi-k2.5 | Azure | $0.60 | $3.00 |
| kimi-k2.6 | Azure | $0.60 | $3.00 |
| mistral-large-3 | Azure | $0.50 | $1.50 |

- [Compare eu.amazon.nova-2-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/eu.amazon.nova-2-lite-v1-0.md)
- [Compare gpt-4.1-mini-2025-04-14](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-4.1-mini-2025-04-14.md)
- [Compare kimi-k2.5](https://www.getmaxim.ai/bifrost/model-library/compare/azure/kimi-k2.5.md)
- [Compare kimi-k2.6](https://www.getmaxim.ai/bifrost/model-library/compare/azure/kimi-k2.6.md)
- [Compare mistral-large-3](https://www.getmaxim.ai/bifrost/model-library/compare/azure/mistral-large-3.md)

## Related Resources

- [Calculate system.ai.llama-4-maverick costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/databricks/model/system.ai.llama-4-maverick.md)
- [All Databricks pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/databricks.md)

## FAQ

### Is system.ai.llama-4-maverick cheaper than eu.amazon.nova-2-lite-v1:0?

No. system.ai.llama-4-maverick costs $0.50 per 1M input tokens while eu.amazon.nova-2-lite-v1:0 costs $0.43 per 1M input tokens, making eu.amazon.nova-2-lite-v1:0 14% more affordable for input. However, system.ai.llama-4-maverick may offer different capabilities or performance characteristics that justify the price difference.

### How does system.ai.llama-4-maverick pricing compare to the average chat model?

system.ai.llama-4-maverick input pricing is $0.50 per 1M tokens, which is 17% below the median of $0.60 for chat models. It ranks 1830 out of 3793 chat models by input cost, making it cheaper than 52% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.75.

### What makes system.ai.llama-4-maverick different from other Databricks models?

Among Databricks's 119 chat models, system.ai.llama-4-maverick ranks 35 by input cost.

### What are the best alternatives to system.ai.llama-4-maverick?

The most comparable chat models to system.ai.llama-4-maverick are: eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.43/1M input tokens); gpt-4.1-mini-2025-04-14 from Azure ($0.44/1M input tokens); kimi-k2.5 from Azure ($0.60/1M input tokens); kimi-k2.6 from Azure ($0.60/1M 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 system.ai.llama-4-maverick costs?

system.ai.llama-4-maverick 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 $0.50 and generating 1M output tokens costs $1.50.

## Related Resources

- [Databricks models](https://www.getmaxim.ai/bifrost/model-library/provider/databricks.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/databricks/system.ai.llama-4-maverick](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/system.ai.llama-4-maverick) for AI/LLM consumption.*