---
title: "universal-3-6-pro Cost Calculator - OpenRouter"
description: "Calculate the cost of using universal-3-6-pro from OpenRouter. Input costs $83.33 and output $0.0000 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/universal-3-6-pro"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/universal-3-6-pro.md"
---

# universal-3-6-pro Cost Calculator - OpenRouter

> Calculate the cost of using universal-3-6-pro from OpenRouter. Input costs $83.33 and output $0.0000 per 1M tokens.

## 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 universal-3-6-pro

universal-3-6-pro is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $83.33 per 1M input tokens and $0.0000 per 1M output tokens, ranking 3770 out of 3778 chat models by cost and cheaper than 0% of models in this category. universal-3-6-pro supports audio input. It accepts up to 0K input tokens.

## Pricing

Published OpenRouter pricing for universal-3-6-pro.

- **$83.33 / 1M tokens Input.**
- **$0.0000 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **0 Max Input Tokens.**
- **0 Max Output Tokens.**
- **0 Max Tokens.**

## Model Capabilities

universal-3-6-pro supports: Audio Input.

## How Pricing Compares

At $83.33 per 1M input tokens and $0.0000 per 1M output tokens, universal-3-6-pro ranks 3770 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 0% of models in this category.

universal-3-6-pro is one of 502 OpenRouter chat models, with support for audio input.

| Model | Provider | Input $/1M | Output $/1M | vs universal-3-6-pro |
| --- | --- | --- | --- | --- |
| gpt-4.5-preview | Azure | $75.00 | $150.00 | -10% |
| gpt-4-32k | Azure | $60.00 | $120.00 | -28% |
| gpt-4-32k-0613 | Azure | $60.00 | $120.00 | -28% |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | -100% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | -100% |

## More from OpenRouter

- [universal-3-5-pro ($83.33/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/universal-3-5-pro.md)
- [eleven-v4 ($80.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/eleven-v4.md)
- [eleven-v3 ($80.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/eleven-v3.md)
- [eleven-multilingual-v2 ($80.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/eleven-multilingual-v2.md)

## Related Resources

- [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md)
- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)

## FAQ

### Is universal-3-6-pro cheaper than gpt-4.5-preview?

No. universal-3-6-pro costs $83.33 per 1M input tokens while gpt-4.5-preview costs $75.00 per 1M input tokens, making gpt-4.5-preview 10% more affordable for input. However, universal-3-6-pro may offer different capabilities or performance characteristics that justify the price difference.

### How does universal-3-6-pro pricing compare to the average chat model?

universal-3-6-pro input pricing is $83.33 per 1M tokens, which is 13789% above the median of $0.60 for chat models. It ranks 3770 out of 3778 chat models by input cost, making it cheaper than 0% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $1.75.

### What makes universal-3-6-pro different from other OpenRouter models?

Among OpenRouter's 502 chat models, universal-3-6-pro ranks 495 by input cost.

### What are the best alternatives to universal-3-6-pro?

The most comparable chat models to universal-3-6-pro are: gpt-4.5-preview from Azure ($75.00/1M input tokens); gpt-4-32k from Azure ($60.00/1M input tokens); gpt-4-32k-0613 from Azure ($60.00/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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 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 universal-3-6-pro costs?

universal-3-6-pro 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 $83.33 and generating 1M output tokens costs $0.0000.

## Related Resources

- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.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/llm-cost-calculator/provider/openrouter/model/universal-3-6-pro](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/universal-3-6-pro) for AI/LLM consumption.*
