--- title: "QwQ-32B Cost Calculator - Hyperbolic" description: "Calculate the cost of using QwQ-32B from Hyperbolic. Input costs $0.20 and output $0.20 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/qwq-32b" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/qwq-32b.md" --- # QwQ-32B Cost Calculator - Hyperbolic > Calculate the cost of using QwQ-32B from Hyperbolic. Input costs $0.20 and output $0.20 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 QwQ-32B QwQ-32B is a chat model from Hyperbolic, one of 16 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens, ranking 817 out of 3254 chat models by cost and cheaper than 70% of models in this category. QwQ-32B supports function calling. It accepts up to 131K input tokens. ## Pricing Published Hyperbolic pricing for QwQ-32B. - **$0.20 / 1M tokens Input.** - **$0.20 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **131,072 Max Input Tokens.** - **131,072 Max Output Tokens.** - **131,072 Max Tokens.** ## Model Capabilities QwQ-32B supports: Function Calling, Parallel Function Calling, System Messages, Tool Choice. ## How Pricing Compares At $0.20 per 1M input tokens and $0.20 per 1M output tokens, QwQ-32B ranks 817 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 70% of models in this category. QwQ-32B is one of 16 Hyperbolic chat models, with support for function calling. | Model | Provider | Input $/1M | Output $/1M | vs QwQ-32B | | --- | --- | --- | --- | --- | | anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% | | apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% | | gpt-5.4-nano | Azure | $0.20 | $1.25 | 0% | | gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | 0% | | gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | -17% | ## More from Hyperbolic - [DeepSeek-V3 ($0.20/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/deepseek-v3.md) - [DeepSeek-R1-0528 ($0.25/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/deepseek-r1-0528.md) - [Hermes-3-Llama-3.1-70B ($0.12/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/hermes-3-llama-3.1-70b.md) - [Qwen2.5-72B-Instruct ($0.12/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/qwen2.5-72b-instruct.md) ## Related Resources - [All Hyperbolic pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic.md) ## FAQ ### Is QwQ-32B cheaper than anthropic.claude-3-haiku-20240307-v1:0? Yes. QwQ-32B 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 QwQ-32B pricing compare to the average chat model? QwQ-32B input pricing is $0.20 per 1M tokens, which is 61% below the median of $0.52 for chat models. It ranks 817 out of 3254 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.50. ### What makes QwQ-32B different from other Hyperbolic models? Among Hyperbolic's 16 chat models, QwQ-32B ranks 10 by input cost. ### What are the best alternatives to QwQ-32B? The most comparable chat models to QwQ-32B 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 QwQ-32B costs? QwQ-32B 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 $0.20. ## Related Resources - [All Hyperbolic pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic.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/hyperbolic/model/qwq-32b](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/hyperbolic/model/qwq-32b) for AI/LLM consumption.*