Calculate the cost of using qwen-turbo-2025-04-28 from Dashscope for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 16,384 tokens
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qwen-turbo-2025-04-28 is a chat model from Dashscope, one of 17 chat models they offer. It is priced at $0.05 per 1M input tokens and $0.20 per 1M output tokens, ranking 83 out of 2292 chat models by cost and cheaper than 95% of models in this category. qwen-turbo-2025-04-28 supports function calling, reasoning. Its 1,000K-token context window is in the top 13% 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 16,384 tokens.
At $0.05 per 1M input tokens and $0.20 per 1M output tokens, qwen-turbo-2025-04-28 ranks 83 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 95% of models in this category.
qwen-turbo-2025-04-28 is one of 17 Dashscope chat models, with support for function calling, reasoning. its 1,000K-token context window places it in the top 13% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen-turbo-2025-04-28 |
|---|---|---|---|---|
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | +10% |
| gpt-5-nano | Azure | $0.05 | $0.40 | 0% |
| gpt-5-nano | OpenAI | $0.05 | $0.40 | 0% |
Similar chat models from other providers
Yes. qwen-turbo-2025-04-28 costs $0.05 per 1M input tokens compared to gpt-5-nano-2025-08-07's $0.06 per 1M input tokens, making it 10% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
qwen-turbo-2025-04-28 input pricing is $0.05 per 1M tokens, which is 91% below the median of $0.55 for chat models. It ranks 83 out of 2292 chat models by input cost, making it cheaper than 95% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.50.
Among Dashscope's 17 chat models, qwen-turbo-2025-04-28 ranks 3 by input cost.
The most comparable chat models to qwen-turbo-2025-04-28 are: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano from OpenAI ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from OpenAI ($0.05/1M 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.
qwen-turbo-2025-04-28 supports up to 1,000,000 input tokens, placing it in the top 13% of chat models by context window size (rank 221 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen-turbo-2025-04-28 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 $0.05 and generating 1M output tokens costs $0.20.
