---
title: "qwen3-6-flash:variant1 Cost Calculator - Empiriolabs"
description: "Calculate the cost of using qwen3-6-flash:variant1 from Empiriolabs. Input costs $0.17 and output $0.99 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-6-flash-variant1"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-6-flash-variant1.md"
---

# qwen3-6-flash:variant1 Cost Calculator - Empiriolabs

> Calculate the cost of using qwen3-6-flash:variant1 from Empiriolabs. Input costs $0.17 and output $0.99 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 qwen3-6-flash:variant1

qwen3-6-flash:variant1 is a chat model from Empiriolabs, one of 92 chat models they offer. It is priced at $0.17 per 1M input tokens and $0.99 per 1M output tokens, ranking 958 out of 4195 chat models by cost and cheaper than 77% of models in this category. qwen3-6-flash:variant1 supports vision, function calling, reasoning, web search, structured output. Its 984K-token context window is in the top 31% among chat models.

## Pricing

Published Empiriolabs pricing for qwen3-6-flash:variant1.

- **$0.17 / 1M tokens Input.**
- **$0.99 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **983,616 Max Input Tokens.**
- **65,536 Max Output Tokens.**

## Model Capabilities

qwen3-6-flash:variant1 supports: Function Calling, Vision, Reasoning, Web Search, System Messages, Response Schema.

## How Pricing Compares

At $0.17 per 1M input tokens and $0.99 per 1M output tokens, qwen3-6-flash:variant1 ranks 958 out of 4195 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 77% of models in this category.

qwen3-6-flash:variant1 is one of 92 Empiriolabs chat models, with support for vision, function calling, reasoning, web search, structured output. its 984K-token context window places it in the top 31% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs qwen3-6-flash:variant1 |
| --- | --- | --- | --- | --- |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | +21% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | +21% |
| gpt-5.6-luna | Azure | $0.20 | $1.20 | +21% |
| gpt-5.6-luna-2026-07-09 | Azure | $0.20 | $1.20 | +21% |
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | -9% |

## More from Empiriolabs

- [qwen3-8-27b ($0.17/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-8-27b.md)
- [qwen3-8-flash ($0.16/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-8-flash.md)
- [qwen3-5-397b-a17b ($0.17/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-5-397b-a17b.md)
- [minimax-m2-7 ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/minimax-m2-7.md)

## Related Resources

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

## FAQ

### Is qwen3-6-flash:variant1 cheaper than gpt-5.4-nano?

Yes. qwen3-6-flash:variant1 costs $0.17 per 1M input tokens compared to gpt-5.4-nano's $0.20 per 1M input tokens, making it 21% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

### How does qwen3-6-flash:variant1 pricing compare to the average chat model?

qwen3-6-flash:variant1 input pricing is $0.17 per 1M tokens, which is 72% below the median of $0.60 for chat models. It ranks 958 out of 4195 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.99 per 1M tokens compared to the median of $1.88.

### What makes qwen3-6-flash:variant1 different from other Empiriolabs models?

Among Empiriolabs's 92 chat models, qwen3-6-flash:variant1 ranks 27 by input cost.

### What are the best alternatives to qwen3-6-flash:variant1?

The most comparable chat models to qwen3-6-flash:variant1 are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5.6-luna from Azure ($0.20/1M input tokens); gpt-5.6-luna-2026-07-09 from Azure ($0.20/1M 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 qwen3-6-flash:variant1 costs?

qwen3-6-flash:variant1 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 $0.17 and generating 1M output tokens costs $0.99.

## Related Resources

- [All Empiriolabs pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs.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/empiriolabs/model/qwen3-6-flash-variant1](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-6-flash-variant1) for AI/LLM consumption.*
