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qwen-turbo-latest Cost Calculator - Dashscope

Calculate the cost of using qwen-turbo-latest from Dashscope for your AI applications

Pricing data last updated:

qwen-turbo-latest Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.00005000
Output Cost$0.00020000
Total Cost$0.00025000

Pricing Details

Input: $0.0000000500 per token
Output: $0.0000002000 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens16,384
Max Tokens16,384

About qwen-turbo-latest

qwen-turbo-latest 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 84 out of 2292 chat models by cost and cheaper than 95% of models in this category. qwen-turbo-latest supports function calling, reasoning. Its 1,000K-token context window is in the top 13% among chat models.

Pricing Information

Input Cost$0.05 per 1M tokens
Output Cost$0.20 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens16,384
Maximum Total Tokens16,384

Pro Tip

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities

How qwen-turbo-latest Pricing Compares

At $0.05 per 1M input tokens and $0.20 per 1M output tokens, qwen-turbo-latest ranks 84 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-latest 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.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen-turbo-latest
gpt-5-nano-2025-08-07Azure$0.06$0.44+10%
gpt-5-nanoAzure$0.05$0.400%
gpt-5-nanoOpenAI$0.05$0.400%

Alternatives to qwen-turbo-latest

Similar chat models from other providers

Azure
gpt-5-nano-2025-08-07
$0.06/1M input
+10% vs qwen-turbo-latest
Azure
gpt-5-nano
$0.05/1M input
0% vs qwen-turbo-latest
OpenAI
gpt-5-nano
$0.05/1M input
0% vs qwen-turbo-latest
OpenAI
gpt-5-nano-2025-08-07
$0.05/1M input
0% vs qwen-turbo-latest
Lambda Ai
qwen3-32b-fp8
$0.05/1M input
0% vs qwen-turbo-latest

Frequently Asked Questions

Is qwen-turbo-latest cheaper than gpt-5-nano-2025-08-07?

Yes. qwen-turbo-latest 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.

How does qwen-turbo-latest pricing compare to the average chat model?

qwen-turbo-latest input pricing is $0.05 per 1M tokens, which is 91% below the median of $0.55 for chat models. It ranks 84 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.

What makes qwen-turbo-latest different from other Dashscope models?

Among Dashscope's 17 chat models, qwen-turbo-latest ranks 4 by input cost.

What are the best alternatives to qwen-turbo-latest?

The most comparable chat models to qwen-turbo-latest 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.

How large is qwen-turbo-latest's context window?

qwen-turbo-latest supports up to 1,000,000 input tokens, placing it in the top 13% of chat models by context window size (rank 222 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen-turbo-latest costs?

qwen-turbo-latest 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.