---
title: "gemini-2.5-flash - Model Details & Comparison"
description: "gemini-2.5-flash from OpenRouter: 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/openrouter/gemini-2.5-flash"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openrouter/gemini-2.5-flash.md"
---

# gemini-2.5-flash - Model Details & Comparison

> gemini-2.5-flash from OpenRouter: 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-2.5-flash

gemini-2.5-flash is a chat model from OpenRouter, one of 357 chat models they offer. It is priced at $0.30 per 1M input tokens and $2.50 per 1M output tokens, ranking 1031 out of 2669 chat models by cost and cheaper than 59% of models in this category. gemini-2.5-flash supports vision, function calling, reasoning, audio input, audio output, prompt caching, structured output — one of only 3 chat models with this combination. Its 1,049K-token context window is in the top 7% among chat models.

## Specifications

- **OpenRouter Provider.**
- **Chat Mode.**
- **1,048,576 Max Input Tokens.**
- **65,535 Max Output Tokens.**
- **65,535 Max Tokens.**
- **$0.30 / 1M tokens Input Price.**
- **$2.50 / 1M tokens Output Price.**

## Capabilities

gemini-2.5-flash supports: Function Calling, Vision, Reasoning, Audio Input, Audio Output, Prompt Caching, System Messages, Response Schema, Tool Choice, PDF Input.

## gemini-2.5-flash Pricing Overview

At $0.30 per 1M input tokens and $2.50 per 1M output tokens, gemini-2.5-flash ranks 1031 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 59% of models in this category.

gemini-2.5-flash is one of 357 OpenRouter chat models, one of only 3 chat models combining audio input, audio output, function calling, prompt caching, reasoning, structured output, vision. its 1,049K-token context window places it in the top 7% of chat models.

## Models to Compare

Alternatives to gemini-2.5-flash with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| gemini-3.1-flash-lite-preview | Google Gemini | $0.25 | $1.50 |
| gemini-3.1-flash-lite | Google Gemini | $0.25 | $1.50 |
| gemini-3.5-flash-lite | Google Gemini | $0.30 | $2.50 |
| gemini-3.1-flash-lite-preview | Vertex AI | $0.25 | $1.50 |
| gemini-3.1-flash-lite | Vertex AI | $0.25 | $1.50 |

- [Compare gemini-3.1-flash-lite-preview](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-3.1-flash-lite-preview.md)
- [Compare gemini-3.1-flash-lite](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-3.1-flash-lite.md)
- [Compare gemini-3.5-flash-lite](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-3.5-flash-lite.md)
- [Compare gemini-3.1-flash-lite-preview](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-3.1-flash-lite-preview.md)
- [Compare gemini-3.1-flash-lite](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-3.1-flash-lite.md)

## Related Resources

- [Calculate gemini-2.5-flash costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-2.5-flash.md)
- [Check OpenRouter status](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/provider-status/openrouter.md)
- [All OpenRouter pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/openrouter.md)

## FAQ

### Is gemini-2.5-flash cheaper than gemini-3.1-flash-lite-preview?

No. gemini-2.5-flash costs $0.30 per 1M input tokens while gemini-3.1-flash-lite-preview costs $0.25 per 1M input tokens, making gemini-3.1-flash-lite-preview 17% more affordable for input. However, gemini-2.5-flash may offer different capabilities or performance characteristics that justify the price difference.

### How does gemini-2.5-flash pricing compare to the average chat model?

gemini-2.5-flash input pricing is $0.30 per 1M tokens, which is 40% below the median of $0.50 for chat models. It ranks 1031 out of 2669 chat models by input cost, making it cheaper than 59% of models in this category. For output, it costs $2.50 per 1M tokens compared to the median of $1.44.

### What makes gemini-2.5-flash different from other OpenRouter models?

Among OpenRouter's 357 chat models, gemini-2.5-flash ranks 136 by input cost. Its combination of audio input, audio output, function calling, prompt caching, reasoning, structured output, vision is shared by only 2 other chat models.

### What are the best alternatives to gemini-2.5-flash?

The most comparable chat models to gemini-2.5-flash are: gemini-3.1-flash-lite-preview from Google Gemini ($0.25/1M input tokens); gemini-3.1-flash-lite from Google Gemini ($0.25/1M input tokens); gemini-3.5-flash-lite from Google Gemini ($0.30/1M input tokens); gemini-3.1-flash-lite-preview from Vertex AI ($0.25/1M 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 large is gemini-2.5-flash's context window?

gemini-2.5-flash supports up to 1,048,576 input tokens, placing it in the top 7% of chat models by context window size (rank 137 of 2653). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

### How do I calculate gemini-2.5-flash costs?

gemini-2.5-flash 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 $0.30 and generating 1M output tokens costs $2.50.

## Related Resources

- [OpenRouter models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/openrouter.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/openrouter/gemini-2.5-flash](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openrouter/gemini-2.5-flash) for AI/LLM consumption.*
