--- title: "qwen3-coder-next - Model Details & Comparison" description: "qwen3-coder-next from Novita: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/qwen3-coder-next" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/qwen3-coder-next.md" --- # qwen3-coder-next - Model Details & Comparison > qwen3-coder-next from Novita: 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 qwen3-coder-next qwen3-coder-next is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.20 per 1M input tokens and $1.50 per 1M output tokens, ranking 1048 out of 3648 chat models by cost and cheaper than 70% of models in this category. qwen3-coder-next supports function calling, structured output. Its 262K-token context window is in the top 39% among chat models. ## Specifications - **Novita Provider.** - **Chat Mode.** - **262,144 Max Input Tokens.** - **65,536 Max Output Tokens.** - **65,536 Max Tokens.** - **$0.20 / 1M tokens Input Price.** - **$1.50 / 1M tokens Output Price.** ## Capabilities qwen3-coder-next supports: Function Calling, Response Schema, Tool Choice. ## qwen3-coder-next Pricing Overview At $0.20 per 1M input tokens and $1.50 per 1M output tokens, qwen3-coder-next ranks 1048 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 70% of models in this category. qwen3-coder-next is one of 130 Novita chat models, with support for function calling, structured output. its 262K-token context window places it in the top 39% of chat models. ## Models to Compare Alternatives to qwen3-coder-next with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | | apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | | gpt-5.4-nano | Azure | $0.20 | $1.25 | | gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | | gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | - [Compare anthropic.claude-3-haiku-20240307-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/anthropic.claude-3-haiku-20240307-v1-0.md) - [Compare apac.anthropic.claude-3-haiku-20240307-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/apac.anthropic.claude-3-haiku-20240307-v1-0.md) - [Compare gpt-5.4-nano](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.4-nano.md) - [Compare gpt-5.4-nano-2026-03-17](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.4-nano-2026-03-17.md) - [Compare gpt-4o-mini-2024-07-18](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-4o-mini-2024-07-18.md) ## Related Resources - [Calculate qwen3-coder-next costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita/model/qwen3-coder-next.md) - [All Novita pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita.md) ## FAQ ### Is qwen3-coder-next cheaper than anthropic.claude-3-haiku-20240307-v1:0? Yes. qwen3-coder-next costs $0.20 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, structured output. ### How does qwen3-coder-next pricing compare to the average chat model? qwen3-coder-next input pricing is $0.20 per 1M tokens, which is 65% below the median of $0.57 for chat models. It ranks 1048 out of 3648 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $1.50 per 1M tokens compared to the median of $1.65. ### What makes qwen3-coder-next different from other Novita models? Among Novita's 130 chat models, qwen3-coder-next ranks 51 by input cost. ### What are the best alternatives to qwen3-coder-next? The most comparable chat models to qwen3-coder-next are: anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); 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). 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-coder-next costs? 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 $0.20 and generating 1M output tokens costs $1.50. ## Related Resources - [Novita models](https://www.getmaxim.ai/bifrost/model-library/provider/novita.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/novita/qwen3-coder-next](https://www.getmaxim.ai/bifrost/model-library/compare/novita/qwen3-coder-next) for AI/LLM consumption.*