--- title: "qwen3.6-27b Cost Calculator - Novita" description: "Calculate the cost of using qwen3.6-27b from Novita. Input costs $0.60 and output $3.60 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen3.6-27b" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen3.6-27b.md" --- # qwen3.6-27b Cost Calculator - Novita > Calculate the cost of using qwen3.6-27b from Novita. Input costs $0.60 and output $3.60 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 qwen3.6-27b qwen3.6-27b is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.60 per 1M input tokens and $3.60 per 1M output tokens, ranking 1744 out of 3254 chat models by cost and cheaper than 46% of models in this category. qwen3.6-27b supports vision, function calling, reasoning, structured output. Its 262K-token context window is in the top 37% among chat models. ## Pricing Published Novita pricing for qwen3.6-27b. - **$0.60 / 1M tokens Input.** - **$3.60 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **262,144 Max Input Tokens.** - **65,536 Max Output Tokens.** - **65,536 Max Tokens.** ## Model Capabilities qwen3.6-27b supports: Function Calling, Vision, Reasoning, Response Schema, Tool Choice. ## How Pricing Compares At $0.60 per 1M input tokens and $3.60 per 1M output tokens, qwen3.6-27b ranks 1744 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 46% of models in this category. qwen3.6-27b is one of 130 Novita chat models, with support for vision, function calling, reasoning, structured output. its 262K-token context window places it in the top 37% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs qwen3.6-27b | | --- | --- | --- | --- | --- | | gpt-5.4-mini | Azure | $0.75 | $4.50 | +25% | | gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +25% | | gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | -17% | | gemini-3.6-flash | Vertex AI | $0.75 | $3.75 | +25% | | gemini-3.7-flash | Vertex AI | $0.75 | $3.75 | +25% | ## More from Novita - [glm-4.7 ($0.60/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/glm-4.7.md) - [kimi-k2-thinking ($0.60/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/kimi-k2-thinking.md) - [kimi-k2-0905 ($0.60/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/kimi-k2-0905.md) - [glm-4.5 ($0.60/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/glm-4.5.md) ## Related Resources - [All Novita pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita.md) ## FAQ ### Is qwen3.6-27b cheaper than gpt-5.4-mini? Yes. qwen3.6-27b costs $0.60 per 1M input tokens compared to gpt-5.4-mini's $0.75 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 qwen3.6-27b pricing compare to the average chat model? qwen3.6-27b input pricing is $0.60 per 1M tokens, which is 16% above the median of $0.52 for chat models. It ranks 1744 out of 3254 chat models by input cost, making it cheaper than 46% of models in this category. For output, it costs $3.60 per 1M tokens compared to the median of $1.50. ### What makes qwen3.6-27b different from other Novita models? Among Novita's 130 chat models, qwen3.6-27b ranks 97 by input cost. ### What are the best alternatives to qwen3.6-27b? The most comparable chat models to qwen3.6-27b are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3.6-flash from Vertex AI ($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 qwen3.6-27b costs? qwen3.6-27b 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 $0.60 and generating 1M output tokens costs $3.60. ## Related Resources - [All Novita pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita.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/novita/model/qwen3.6-27b](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen3.6-27b) for AI/LLM consumption.*