--- title: "qwen3.8-omni-flash - Model Details & Comparison" description: "qwen3.8-omni-flash from OpenRouter: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/qwen3.8-omni-flash" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/qwen3.8-omni-flash.md" --- # qwen3.8-omni-flash - Model Details & Comparison > qwen3.8-omni-flash from OpenRouter: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About qwen3.8-omni-flash qwen3.8-omni-flash is a chat model from OpenRouter, one of 491 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.47 per 1M output tokens, ranking 862 out of 4042 chat models by cost and cheaper than 78% of models in this category. qwen3.8-omni-flash supports vision, function calling, reasoning, audio input, prompt caching, structured output. Its 1,000K-token context window is in the top 28% among chat models. ## Specifications - **OpenRouter Provider.** - **Chat Mode.** - **1,000,000 Max Input Tokens.** - **131,072 Max Output Tokens.** - **131,072 Max Tokens.** - **$0.15 / 1M tokens Input Price.** - **$0.47 / 1M tokens Output Price.** ## Capabilities qwen3.8-omni-flash supports: Function Calling, Vision, Reasoning, Audio Input, Prompt Caching, Response Schema, Tool Choice. ## qwen3.8-omni-flash Pricing Overview At $0.15 per 1M input tokens and $0.47 per 1M output tokens, qwen3.8-omni-flash ranks 862 out of 4042 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 78% of models in this category. qwen3.8-omni-flash is one of 491 OpenRouter chat models, with support for vision, function calling, reasoning, audio input, prompt caching, structured output. its 1,000K-token context window places it in the top 28% of chat models. ## Models to Compare Alternatives to qwen3.8-omni-flash with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | | qwen3.8-omni-flash | Qwen Ai Platform | $0.15 | $0.47 | | mimo-v2.6-flash | Xiaomi | $0.14 | $0.28 | | qwen3.8-flash | Dashscope | $0.15 | $0.47 | | qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | ## Related Resources - [Calculate qwen3.8-omni-flash costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/qwen3.8-omni-flash.md) - [Check 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 qwen3.8-omni-flash cheaper than qwen3.8-omni-flash? No. qwen3.8-omni-flash costs $0.15 per 1M input tokens while qwen3.8-omni-flash costs $0.15 per 1M input tokens, making qwen3.8-omni-flash 0% more affordable for input. However, qwen3.8-omni-flash may offer different capabilities or performance characteristics that justify the price difference. ### How does qwen3.8-omni-flash pricing compare to the average chat model? qwen3.8-omni-flash input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 862 out of 4042 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.47 per 1M tokens compared to the median of $1.80. ### What makes qwen3.8-omni-flash different from other OpenRouter models? Among OpenRouter's 491 chat models, qwen3.8-omni-flash ranks 112 by input cost. ### What are the best alternatives to qwen3.8-omni-flash? The most comparable chat models to qwen3.8-omni-flash are: qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($0.15/1M input tokens); mimo-v2.6-flash from Xiaomi ($0.14/1M input tokens); qwen3.8-flash from Dashscope ($0.15/1M 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-omni-flash's context window? qwen3.8-omni-flash supports up to 1,000,000 input tokens, placing it in the top 28% of chat models by context window size (rank 1019 of 4003). 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 qwen3.8-omni-flash costs? qwen3.8-omni-flash 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 $0.15 and generating 1M output tokens costs $0.47. ## Related Resources - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [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/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/qwen3.8-omni-flash](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/qwen3.8-omni-flash) for AI/LLM consumption.*