Calculate the cost of using qwen3.6-flash from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 65,536 tokens
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qwen3.6-flash is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.19 per 1M input tokens and $1.13 per 1M output tokens, ranking 638 out of 2661 chat models by cost and cheaper than 76% of models in this category. qwen3.6-flash supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 15% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 65,536 tokens.
At $0.19 per 1M input tokens and $1.13 per 1M output tokens, qwen3.6-flash ranks 638 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 76% of models in this category.
qwen3.6-flash is one of 355 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 15% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.6-flash |
|---|---|---|---|---|
| gpt-5.4-nano | Azure | $0.20 | $1.25 | +7% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | +7% |
| gpt-5.4-nano | OpenAI | $0.20 | $1.25 | +7% |
Similar chat models from other providers
Yes. qwen3.6-flash costs $0.19 per 1M input tokens compared to gpt-5.4-nano's $0.20 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
qwen3.6-flash input pricing is $0.19 per 1M tokens, which is 63% below the median of $0.50 for chat models. It ranks 638 out of 2661 chat models by input cost, making it cheaper than 76% of models in this category. For output, it costs $1.13 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 355 chat models, qwen3.6-flash ranks 91 by input cost.
The most comparable chat models to qwen3.6-flash are: 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); gpt-5.4-nano from OpenAI ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from OpenAI ($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.
qwen3.6-flash supports up to 1,000,000 input tokens, placing it in the top 15% of chat models by context window size (rank 364 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
qwen3.6-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 $0.19 and generating 1M output tokens costs $1.13.