--- title: "qwen3-30b-a3b Cost Calculator - OpenRouter" description: "Calculate the cost of using qwen3-30b-a3b from OpenRouter. Input costs $0.12 and output $0.50 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-30b-a3b" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-30b-a3b.md" --- # qwen3-30b-a3b Cost Calculator - OpenRouter > Calculate the cost of using qwen3-30b-a3b from OpenRouter. Input costs $0.12 and output $0.50 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/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 qwen3-30b-a3b qwen3-30b-a3b is a chat model from OpenRouter, one of 436 chat models they offer. It is priced at $0.12 per 1M input tokens and $0.50 per 1M output tokens, ranking 459 out of 2911 chat models by cost and cheaper than 84% of models in this category. qwen3-30b-a3b supports function calling, reasoning, structured output. It accepts up to 41K input tokens. ## Pricing Published OpenRouter pricing for qwen3-30b-a3b. - **$0.12 / 1M tokens Input.** - **$0.50 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **40,960 Max Input Tokens.** - **16,384 Max Output Tokens.** - **16,384 Max Tokens.** ## Model Capabilities qwen3-30b-a3b supports: Function Calling, Reasoning, Response Schema, Tool Choice. ## How Pricing Compares At $0.12 per 1M input tokens and $0.50 per 1M output tokens, qwen3-30b-a3b ranks 459 out of 2911 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 84% of models in this category. qwen3-30b-a3b is one of 436 OpenRouter chat models, with support for function calling, reasoning, structured output. | Model | Provider | Input $/1M | Output $/1M | vs qwen3-30b-a3b | | --- | --- | --- | --- | --- | | deepseek-v4-flash | Fireworks AI | $0.14 | $0.28 | +17% | | gpt-oss-120b | Fireworks AI | $0.15 | $0.60 | +25% | | gemini-2.5-flash-lite | Vertex AI | $0.10 | $0.40 | -17% | | gemini-2.5-flash-lite-preview-09-2025 | Vertex AI | $0.10 | $0.40 | -17% | | gemini-2.5-flash-lite-preview-06-17 | Vertex AI | $0.10 | $0.40 | -17% | ## More from OpenRouter - [qwen3-coder-next ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-coder-next.md) - [qwen3-14b ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-14b.md) - [qwen3-vl-8b-instruct ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-vl-8b-instruct.md) - [qwen3-8b ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-8b.md) ## Related Resources - [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md) - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) ## FAQ ### Is qwen3-30b-a3b cheaper than deepseek-v4-flash? Yes. qwen3-30b-a3b costs $0.12 per 1M input tokens compared to deepseek-v4-flash's $0.14 per 1M input tokens, making it 17% more affordable. Both are chat models and share support for function calling, reasoning, structured output. ### How does qwen3-30b-a3b pricing compare to the average chat model? qwen3-30b-a3b input pricing is $0.12 per 1M tokens, which is 78% below the median of $0.55 for chat models. It ranks 459 out of 2911 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.50. ### What makes qwen3-30b-a3b different from other OpenRouter models? Among OpenRouter's 436 chat models, qwen3-30b-a3b ranks 77 by input cost. ### What are the best alternatives to qwen3-30b-a3b? The most comparable chat models to qwen3-30b-a3b are: deepseek-v4-flash from Fireworks AI ($0.14/1M input tokens); gpt-oss-120b from Fireworks AI ($0.15/1M input tokens); gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M 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 check if OpenRouter is down? You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds. ### How do I calculate qwen3-30b-a3b costs? qwen3-30b-a3b 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 $0.12 and generating 1M output tokens costs $0.50. ## Related Resources - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.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/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/llm-cost-calculator/provider/openrouter/model/qwen3-30b-a3b](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-30b-a3b) for AI/LLM consumption.*