---
title: "gemini-2.0-flash-lite - Model Details & Comparison"
description: "gemini-2.0-flash-lite 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/gemini-2.0-flash-lite"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-2.0-flash-lite.md"
---

# gemini-2.0-flash-lite - Model Details & Comparison

> gemini-2.0-flash-lite 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 gemini-2.0-flash-lite

gemini-2.0-flash-lite is a chat model from Vertex AI, one of 112 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.30 per 1M output tokens, ranking 225 out of 2669 chat models by cost and cheaper than 91% of models in this category. gemini-2.0-flash-lite supports vision, function calling, audio output, web search, prompt caching, structured output — one of only 6 chat models with this combination. Its 1,049K-token context window is in the top 7% among chat models.

## Specifications

- **Google Vertex AI Provider.**
- **Chat Mode.**
- **1,048,576 Max Input Tokens.**
- **8,192 Max Output Tokens.**
- **$0.07 / 1M tokens Input Price.**
- **$0.30 / 1M tokens Output Price.**

## Capabilities

gemini-2.0-flash-lite supports: Function Calling, Vision, Web Search, Audio Output, Prompt Caching, Parallel Function Calling, System Messages, Response Schema, Tool Choice.

## gemini-2.0-flash-lite Pricing Overview

At $0.07 per 1M input tokens and $0.30 per 1M output tokens, gemini-2.0-flash-lite ranks 225 out of 2669 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 91% of models in this category.

gemini-2.0-flash-lite is one of 112 Vertex AI chat models, one of only 6 chat models combining audio output, function calling, prompt caching, structured output, vision, web search. its 1,049K-token context window places it in the top 7% of chat models.

## Models to Compare

Alternatives to gemini-2.0-flash-lite with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| gemini-2.0-flash-lite | Google Gemini | $0.07 | $0.30 |
| gemini-2.0-flash-lite-001 | Google Gemini | $0.08 | $0.30 |
| gemini-2.0-flash | Google Gemini | $0.10 | $0.40 |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 |
| eu.amazon.nova-lite-v1:0 | AWS Bedrock | $0.08 | $0.31 |

- [Compare gemini-2.0-flash-lite](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-2.0-flash-lite.md)
- [Compare gemini-2.0-flash-lite-001](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-2.0-flash-lite-001.md)
- [Compare gemini-2.0-flash](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-2.0-flash.md)
- [Compare apac.amazon.nova-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/apac.amazon.nova-lite-v1-0.md)
- [Compare eu.amazon.nova-lite-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/eu.amazon.nova-lite-v1-0.md)

## Related Resources

- [Calculate gemini-2.0-flash-lite costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai/model/gemini-2.0-flash-lite.md)
- [All Vertex AI pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai.md)

## FAQ

### Is gemini-2.0-flash-lite cheaper than gemini-2.0-flash-lite?

No. gemini-2.0-flash-lite costs $0.07 per 1M input tokens while gemini-2.0-flash-lite costs $0.07 per 1M input tokens, making gemini-2.0-flash-lite 0% more affordable for input. However, gemini-2.0-flash-lite may offer different capabilities or performance characteristics that justify the price difference.

### How does gemini-2.0-flash-lite pricing compare to the average chat model?

gemini-2.0-flash-lite input pricing is $0.07 per 1M tokens, which is 85% below the median of $0.50 for chat models. It ranks 225 out of 2669 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.44.

### What makes gemini-2.0-flash-lite different from other Vertex AI models?

Among Vertex AI's 112 chat models, gemini-2.0-flash-lite ranks 5 by input cost. It is the most affordable Vertex AI model with audio output support. Its combination of audio output, function calling, prompt caching, structured output, vision, web search is shared by only 5 other chat models.

### What are the best alternatives to gemini-2.0-flash-lite?

The most comparable chat models to gemini-2.0-flash-lite are: gemini-2.0-flash-lite from Google Gemini ($0.07/1M input tokens); gemini-2.0-flash-lite-001 from Google Gemini ($0.08/1M input tokens); gemini-2.0-flash from Google Gemini ($0.10/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M 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.

### Is gemini-2.0-flash-lite the cheapest chat model with audio output?

Yes. At $0.07 per 1M input tokens, gemini-2.0-flash-lite is the most affordable chat model that supports audio output. This makes it a strong option for audio output-dependent workloads where cost efficiency matters.

### How large is gemini-2.0-flash-lite's context window?

gemini-2.0-flash-lite supports up to 1,048,576 input tokens, placing it in the top 7% of chat models by context window size (rank 88 of 2653). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I calculate gemini-2.0-flash-lite costs?

gemini-2.0-flash-lite 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 $0.07 and generating 1M output tokens costs $0.30.

## 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/gemini-2.0-flash-lite](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-2.0-flash-lite) for AI/LLM consumption.*
