---
title: "qwen.qwen3-235b-a22b-2507 Cost Calculator - Bedrock Mantle"
description: "Calculate the cost of using qwen.qwen3-235b-a22b-2507 from Bedrock Mantle. Input costs $0.22 and output $0.88 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/qwen.qwen3-235b-a22b-2507"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/qwen.qwen3-235b-a22b-2507.md"
---

# qwen.qwen3-235b-a22b-2507 Cost Calculator - Bedrock Mantle

> Calculate the cost of using qwen.qwen3-235b-a22b-2507 from Bedrock Mantle. Input costs $0.22 and output $0.88 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/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 qwen.qwen3-235b-a22b-2507

qwen.qwen3-235b-a22b-2507 is a chat model from Bedrock Mantle, one of 81 chat models they offer. It is priced at $0.22 per 1M input tokens and $0.88 per 1M output tokens, ranking 1140 out of 3639 chat models by cost and cheaper than 69% of models in this category. qwen.qwen3-235b-a22b-2507 supports function calling, reasoning. Its 256K-token context window is in the top 44% among chat models.

## Pricing

Published Bedrock Mantle pricing for qwen.qwen3-235b-a22b-2507.

- **$0.22 / 1M tokens Input.**
- **$0.88 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **256,000 Max Input Tokens.**
- **8,000 Max Output Tokens.**
- **8,000 Max Tokens.**

## Model Capabilities

qwen.qwen3-235b-a22b-2507 supports: Function Calling, Reasoning, Tool Choice.

## How Pricing Compares

At $0.22 per 1M input tokens and $0.88 per 1M output tokens, qwen.qwen3-235b-a22b-2507 ranks 1140 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 69% of models in this category.

qwen.qwen3-235b-a22b-2507 is one of 81 Bedrock Mantle chat models, with support for function calling, reasoning. its 256K-token context window places it in the top 44% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs qwen.qwen3-235b-a22b-2507 |
| --- | --- | --- | --- | --- |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | -9% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | -9% |
| gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | +25% |
| gpt-5-mini | Azure | $0.25 | $2.00 | +14% |
| gpt-5.6-luna | Azure | $0.20 | $1.20 | -9% |

## More from Bedrock Mantle

- [google.gemma-3-27b-it ($0.23/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/google.gemma-3-27b-it.md)
- [nvidia.nemotron-nano-12b-v2 ($0.24/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/nvidia.nemotron-nano-12b-v2.md)
- [nvidia.nemotron-nano-12b-v2 ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/nvidia.nemotron-nano-12b-v2.md)

## Related Resources

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

## FAQ

### Is qwen.qwen3-235b-a22b-2507 cheaper than gpt-5.4-nano?

No. qwen.qwen3-235b-a22b-2507 costs $0.22 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 9% more affordable for input. However, qwen.qwen3-235b-a22b-2507 may offer different capabilities or performance characteristics that justify the price difference.

### How does qwen.qwen3-235b-a22b-2507 pricing compare to the average chat model?

qwen.qwen3-235b-a22b-2507 input pricing is $0.22 per 1M tokens, which is 62% below the median of $0.58 for chat models. It ranks 1140 out of 3639 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.88 per 1M tokens compared to the median of $1.66.

### What makes qwen.qwen3-235b-a22b-2507 different from other Bedrock Mantle models?

Among Bedrock Mantle's 81 chat models, qwen.qwen3-235b-a22b-2507 ranks 43 by input cost.

### What are the best alternatives to qwen.qwen3-235b-a22b-2507?

The most comparable chat models to qwen.qwen3-235b-a22b-2507 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-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($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 do I calculate qwen.qwen3-235b-a22b-2507 costs?

qwen.qwen3-235b-a22b-2507 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 $0.22 and generating 1M output tokens costs $0.88.

## Related Resources

- [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.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)
- [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/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/qwen.qwen3-235b-a22b-2507](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/qwen.qwen3-235b-a22b-2507) for AI/LLM consumption.*
