---
title: "qwq-plus Cost Calculator - Qwencloud"
description: "Calculate the cost of using qwq-plus from Qwencloud. Input costs $0.80 and output $2.40 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwq-plus"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwq-plus.md"
---

# qwq-plus Cost Calculator - Qwencloud

> Calculate the cost of using qwq-plus from Qwencloud. Input costs $0.80 and output $2.40 per 1M tokens.

## 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://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About qwq-plus

qwq-plus is a chat model from Qwencloud, one of 25 chat models they offer. It is priced at $0.80 per 1M input tokens and $2.40 per 1M output tokens, ranking 1921 out of 3254 chat models by cost and cheaper than 40% of models in this category. qwq-plus supports function calling, reasoning. It accepts up to 98K input tokens.

## Pricing

Published Qwencloud pricing for qwq-plus.

- **$0.80 / 1M tokens Input.**
- **$2.40 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **98,304 Max Input Tokens.**
- **8,192 Max Output Tokens.**
- **8,192 Max Tokens.**

## Model Capabilities

qwq-plus supports: Function Calling, Reasoning, Tool Choice.

## How Pricing Compares

At $0.80 per 1M input tokens and $2.40 per 1M output tokens, qwq-plus ranks 1921 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 40% of models in this category.

qwq-plus is one of 25 Qwencloud chat models, with support for function calling, reasoning.

| Model | Provider | Input $/1M | Output $/1M | vs qwq-plus |
| --- | --- | --- | --- | --- |
| anthropic.claude-haiku-4-5-20251001-v1:0 | AWS Bedrock | $1.00 | $5.00 | +25% |
| anthropic.claude-haiku-4-5@20251001 | AWS Bedrock | $1.00 | $5.00 | +25% |
| claude-haiku-4-5 | Azure | $1.00 | $5.00 | +25% |
| gpt-5.4-mini | Azure | $0.75 | $4.50 | -6% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | -6% |

## More from Qwencloud

- [kimi-k2.7-code ($0.95/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/kimi-k2.7-code.md)
- [qwen-plus ($0.40/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwen-plus.md)
- [qwen-plus-2025-01-25 ($0.40/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwen-plus-2025-01-25.md)
- [qwen-plus-2025-04-28 ($0.40/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwen-plus-2025-04-28.md)

## Related Resources

- [All Qwencloud pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud.md)

## FAQ

### Is qwq-plus cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

Yes. qwq-plus costs $0.80 per 1M input tokens compared to anthropic.claude-haiku-4-5-20251001-v1:0's $1.00 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

### How does qwq-plus pricing compare to the average chat model?

qwq-plus input pricing is $0.80 per 1M tokens, which is 55% above the median of $0.52 for chat models. It ranks 1921 out of 3254 chat models by input cost, making it cheaper than 40% of models in this category. For output, it costs $2.40 per 1M tokens compared to the median of $1.50.

### What makes qwq-plus different from other Qwencloud models?

Among Qwencloud's 25 chat models, qwq-plus ranks 18 by input cost.

### What are the best alternatives to qwq-plus?

The most comparable chat models to qwq-plus are: anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M input tokens); gpt-5.4-mini from Azure ($0.75/1M 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 qwq-plus costs?

qwq-plus 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 $0.80 and generating 1M output tokens costs $2.40.

## Related Resources

- [All Qwencloud pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/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/llm-cost-calculator/provider/qwencloud/model/qwq-plus](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/qwencloud/model/qwq-plus) for AI/LLM consumption.*
