--- title: "Qwen3.8-Max Cost Calculator - Scx-ai" description: "Calculate the cost of using Qwen3.8-Max from Scx-ai. Input costs $1.81 and output $5.45 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai/model/qwen3.8-max" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai/model/qwen3.8-max.md" --- # Qwen3.8-Max Cost Calculator - Scx-ai > Calculate the cost of using Qwen3.8-Max from Scx-ai. Input costs $1.81 and output $5.45 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/bifrost/enterprise) - [Pricing](https://www.getmaxim.ai/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo) ## About Qwen3.8-Max Qwen3.8-Max is a chat model from Scx-ai, one of 2 chat models they offer. It is priced at $1.81 per 1M input tokens and $5.45 per 1M output tokens, ranking 2196 out of 2912 chat models by cost and cheaper than 25% of models in this category. Qwen3.8-Max supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 18% among chat models. ## Pricing Published Scx-ai pricing for Qwen3.8-Max. - **$1.81 / 1M tokens Input.** - **$5.45 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **1,000,000 Max Input Tokens.** - **131,072 Max Output Tokens.** - **131,072 Max Tokens.** ## Model Capabilities Qwen3.8-Max supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema, Tool Choice. ## How Pricing Compares At $1.81 per 1M input tokens and $5.45 per 1M output tokens, Qwen3.8-Max ranks 2196 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 25% of models in this category. Qwen3.8-Max is one of 2 Scx-ai chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 18% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs Qwen3.8-Max | | --- | --- | --- | --- | --- | | amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +21% | | apac.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +21% | | eu.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +21% | | us.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +21% | | anthropic.claude-sonnet-5 | AWS Bedrock | $2.00 | $10.00 | +10% | ## More from Scx-ai - [GLM-5.2 ($0.55/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai/model/glm-5.2.md) ## Related Resources - [All Scx-ai pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai.md) ## FAQ ### Is Qwen3.8-Max cheaper than amazon.nova-2-pro-preview-20251202-v1:0? Yes. Qwen3.8-Max costs $1.81 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $2.19 per 1M input tokens, making it 21% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output. ### How does Qwen3.8-Max pricing compare to the average chat model? Qwen3.8-Max input pricing is $1.81 per 1M tokens, which is 230% above the median of $0.55 for chat models. It ranks 2196 out of 2912 chat models by input cost, making it cheaper than 25% of models in this category. For output, it costs $5.45 per 1M tokens compared to the median of $1.50. ### What makes Qwen3.8-Max different from other Scx-ai models? Among Scx-ai's 2 chat models, Qwen3.8-Max ranks 2 by input cost. ### What are the best alternatives to Qwen3.8-Max? The most comparable chat models to Qwen3.8-Max are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M 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 large is Qwen3.8-Max's context window? Qwen3.8-Max supports up to 1,000,000 input tokens, placing it in the top 18% of chat models by context window size (rank 394 of 2714). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate Qwen3.8-Max costs? Qwen3.8-Max 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 $1.81 and generating 1M output tokens costs $5.45. ## Related Resources - [All Scx-ai pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai.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/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/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/scx-ai/model/qwen3.8-max](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai/model/qwen3.8-max) for AI/LLM consumption.*