--- title: "qwen.qwen3-coder-next - Model Details & Comparison" description: "qwen.qwen3-coder-next from Bedrock Mantle: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/qwen.qwen3-coder-next" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/qwen.qwen3-coder-next.md" --- # qwen.qwen3-coder-next - Model Details & Comparison > qwen.qwen3-coder-next from Bedrock Mantle: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## 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-coder-next qwen.qwen3-coder-next is a chat model from Bedrock Mantle, one of 81 chat models they offer. It is priced at $0.50 per 1M input tokens and $1.20 per 1M output tokens, ranking 1779 out of 3648 chat models by cost and cheaper than 51% of models in this category. qwen.qwen3-coder-next supports function calling. Its 256K-token context window is in the top 44% among chat models. ## Specifications - **Bedrock Mantle Provider.** - **Chat Mode.** - **256,000 Max Input Tokens.** - **16,000 Max Output Tokens.** - **16,000 Max Tokens.** - **$0.50 / 1M tokens Input Price.** - **$1.20 / 1M tokens Output Price.** ## Capabilities qwen.qwen3-coder-next supports: Function Calling, Tool Choice. ## qwen.qwen3-coder-next Pricing Overview At $0.50 per 1M input tokens and $1.20 per 1M output tokens, qwen.qwen3-coder-next ranks 1779 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.57 for chat models, and is cheaper than 51% of models in this category. qwen.qwen3-coder-next is one of 81 Bedrock Mantle chat models, with support for function calling. its 256K-token context window places it in the top 44% of chat models. ## Models to Compare Alternatives to qwen.qwen3-coder-next with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | us.writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 | | writer.palmyra-x5-v1:0 | AWS Bedrock | $0.60 | $6.00 | | gpt-3.5-turbo-0125 | Azure | $0.50 | $1.50 | | gpt-35-turbo-0125 | Azure | $0.50 | $1.50 | | gpt-4.1-mini | Azure | $0.40 | $1.60 | - [Compare us.writer.palmyra-x5-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.writer.palmyra-x5-v1-0.md) - [Compare writer.palmyra-x5-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/writer.palmyra-x5-v1-0.md) - [Compare gpt-3.5-turbo-0125](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-3.5-turbo-0125.md) - [Compare gpt-35-turbo-0125](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-35-turbo-0125.md) - [Compare gpt-4.1-mini](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-4.1-mini.md) ## Related Resources - [Calculate qwen.qwen3-coder-next costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/qwen.qwen3-coder-next.md) - [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.md) ## FAQ ### Is qwen.qwen3-coder-next cheaper than us.writer.palmyra-x5-v1:0? Yes. qwen.qwen3-coder-next costs $0.50 per 1M input tokens compared to us.writer.palmyra-x5-v1:0's $0.60 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for function calling. ### How does qwen.qwen3-coder-next pricing compare to the average chat model? qwen.qwen3-coder-next input pricing is $0.50 per 1M tokens, which is 12% below the median of $0.57 for chat models. It ranks 1779 out of 3648 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.65. ### What makes qwen.qwen3-coder-next different from other Bedrock Mantle models? Among Bedrock Mantle's 81 chat models, qwen.qwen3-coder-next ranks 55 by input cost. ### What are the best alternatives to qwen.qwen3-coder-next? The most comparable chat models to qwen.qwen3-coder-next are: us.writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); writer.palmyra-x5-v1:0 from AWS Bedrock ($0.60/1M input tokens); gpt-3.5-turbo-0125 from Azure ($0.50/1M input tokens); gpt-35-turbo-0125 from Azure ($0.50/1M 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-coder-next costs? qwen.qwen3-coder-next 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 $0.50 and generating 1M output tokens costs $1.20. ## Related Resources - [Bedrock Mantle models](https://www.getmaxim.ai/bifrost/model-library/provider/bedrock_mantle.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.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/model-library/compare/bedrock_mantle/qwen.qwen3-coder-next](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/qwen.qwen3-coder-next) for AI/LLM consumption.*