--- title: "qwen3.5-flash-02-23 Cost Calculator - OpenRouter" description: "Calculate the cost of using qwen3.5-flash-02-23 from OpenRouter. Input costs $0.07 and output $0.26 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3.5-flash-02-23" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3.5-flash-02-23.md" --- # qwen3.5-flash-02-23 Cost Calculator - OpenRouter > Calculate the cost of using qwen3.5-flash-02-23 from OpenRouter. Input costs $0.07 and output $0.26 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 qwen3.5-flash-02-23 qwen3.5-flash-02-23 is a chat model from OpenRouter, one of 480 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.26 per 1M output tokens, ranking 244 out of 3501 chat models by cost and cheaper than 93% of models in this category. qwen3.5-flash-02-23 supports vision, function calling, reasoning, structured output. Its 1,000K-token context window is in the top 25% among chat models. ## Pricing Published OpenRouter pricing for qwen3.5-flash-02-23. - **$0.07 / 1M tokens Input.** - **$0.26 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **1,000,000 Max Input Tokens.** - **65,536 Max Output Tokens.** - **65,536 Max Tokens.** ## Model Capabilities qwen3.5-flash-02-23 supports: Function Calling, Vision, Reasoning, Response Schema, Tool Choice. ## How Pricing Compares At $0.07 per 1M input tokens and $0.26 per 1M output tokens, qwen3.5-flash-02-23 ranks 244 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 93% of models in this category. qwen3.5-flash-02-23 is one of 480 OpenRouter chat models, with support for vision, function calling, reasoning, structured output. its 1,000K-token context window places it in the top 25% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs qwen3.5-flash-02-23 | | --- | --- | --- | --- | --- | | gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | -15% | | gemma-4-26B-A4B-it | DeepInfra | $0.07 | $0.34 | +8% | | coding-xiaomi-mimo-v2-omni | Aihubmix | $0.08 | $0.40 | +23% | | coding-xiaomi-mimo-v2.5 | Aihubmix | $0.08 | $0.40 | +23% | | doubao-seed-2-0-lite-260428 | Aihubmix | $0.08 | $0.51 | +23% | ## More from OpenRouter - [glm-4.7-flash ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.7-flash.md) - [nemotron-3.5-lightning ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/nemotron-3.5-lightning.md) - [laguna-xs-2.1 ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/laguna-xs-2.1.md) - [qwen3-coder-30b-a3b-instruct ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3-coder-30b-a3b-instruct.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 qwen3.5-flash-02-23 cheaper than gpt-5-nano-2025-08-07? No. qwen3.5-flash-02-23 costs $0.07 per 1M input tokens while gpt-5-nano-2025-08-07 costs $0.06 per 1M input tokens, making gpt-5-nano-2025-08-07 15% more affordable for input. However, qwen3.5-flash-02-23 may offer different capabilities or performance characteristics that justify the price difference. ### How does qwen3.5-flash-02-23 pricing compare to the average chat model? qwen3.5-flash-02-23 input pricing is $0.07 per 1M tokens, which is 89% below the median of $0.60 for chat models. It ranks 244 out of 3501 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.26 per 1M tokens compared to the median of $1.71. ### What makes qwen3.5-flash-02-23 different from other OpenRouter models? Among OpenRouter's 480 chat models, qwen3.5-flash-02-23 ranks 42 by input cost. ### What are the best alternatives to qwen3.5-flash-02-23? The most comparable chat models to qwen3.5-flash-02-23 are: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gemma-4-26B-A4B-it from DeepInfra ($0.07/1M input tokens); coding-xiaomi-mimo-v2-omni from Aihubmix ($0.08/1M input tokens); coding-xiaomi-mimo-v2.5 from Aihubmix ($0.08/1M 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 qwen3.5-flash-02-23's context window? qwen3.5-flash-02-23 supports up to 1,000,000 input tokens, placing it in the top 25% of chat models by context window size (rank 606 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### 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 qwen3.5-flash-02-23 costs? qwen3.5-flash-02-23 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 $0.07 and generating 1M output tokens costs $0.26. ## 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/qwen3.5-flash-02-23](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3.5-flash-02-23) for AI/LLM consumption.*