The Qwen family covers general and multimodal workloads. This page highlights qwen3.8-max, with up to 983,616 input tokens, 131,072 output tokens, required reasoning, caching, and built-in tools through the Responses API.
Guides, comparisons and pricing analysis from the APIMart blog.
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qwen3.8-max-0902
Transparent pricing with no hidden fees. Pay only for what you use.
Per 1M tokens
| Rate | GoldCurrent price | Platinum | Diamond | Official | Your savings |
|---|---|---|---|---|---|
| Input | 13.7143~$1.3714 | 13.0286~$1.3029 | 12.3429~$1.2343 | 17.1429~$1.7143 | 20% |
| Cached input | 1.7143~$0.1714 | 1.6286~$0.1629 | 1.5429~$0.1543 | 2.1429~$0.2143 | 20% |
| Explicit cached input | 1.1429~$0.1143 | 1.0857~$0.1086 | 1.0286~$0.1029 | 1.4286~$0.1429 | 20% |
| Cache write | 17.1429~$1.7143 | 16.2857~$1.6286 | 15.4286~$1.5429 | 21.4286~$2.1429 | 20% |
| Output | 41.1429~$4.1143 | 39.0857~$3.9086 | 37.0286~$3.7029 | 51.4286~$5.1429 | 20% |
Build with qwen3.8-max for long-context reasoning. Use Chat Completions for conversations and PDFs, or the Responses API for web, extraction, code, and image-search tools.
50K+
Active Users
99.9%
Uptime
2x
Faster
70%
Cost Savings
Endpoint behavior, context limits, reasoning, caching, and tools you should know before integrating
Choose the endpoint that matches each long-context, document, or tool-assisted workflow
Choose the model and endpoint deliberately before sending your first request
Create an APIMart account and add balance for API usage.
Generate an API key for authenticated Qwen requests.
Set the model to qwen3.8-max. Use Chat Completions for chat or PDF, Responses for built-in tools, and set stream explicitly for Chat requests.
What developers say about our Qwen API
“Qwen-Max is our go-to for Chinese content generation. The language quality is unmatched.”
Wei Zhang
Content Lead
“Qwen-Coder handles our code review pipeline beautifully. Great balance of speed and accuracy.”
Alex Chen
Engineering Manager
“The Qwen-VL model reads Chinese documents and forms with impressive accuracy. Saved us months of development.”
Sarah Li
Product Manager
“Qwen-Turbo is incredibly cost-effective for our high-volume chat application.”
Mike Wang
Backend Developer
“Qwen3 is a huge leap forward. The thinking variants handle complex queries our previous models couldn't.”
Emily Zhou
AI Researcher
“Best Chinese-English translation API we've found. Qwen-MT understands context and idioms remarkably well.”
David Liu
Localization Manager
Integration details for qwen3.8-max and the Qwen model family
It is a Qwen family page, with qwen3.8-max as the featured model. Other Qwen models may have different limits, endpoints, and capabilities.
Use Chat Completions for regular conversations and PDF inputs. Use the Responses API for built-in tools such as web search, web extraction, code interpretation, and image search.
The interface supports OpenAI SDK integration, but you should not assume every default is identical. For Chat Completions, pass stream explicitly because its default behavior differs.
Reasoning is required for qwen3.8-max and cannot be disabled. Reasoning tokens count toward output-token usage and billing.
qwen3.8-max accepts up to 983,616 input tokens and supports up to 131,072 output tokens.
The pricing section loads current model pricing dynamically, including applicable input, output, cache, and tool charges. The model supports implicit and explicit caching.
Yes. The Qwen API is billed per million tokens. The pricing table on this page lists every specification and shows the Gold member price, 20% off. Platinum and Diamond members save even more, up to 28%. You only pay for successful requests.
Sign up for APIMart, open the API Keys page in your dashboard and create a key. The same key calls the Alibaba Qwen API and every other model on the platform, with pay-as-you-go billing and no subscription.
Call the OpenAI-compatible Chat Completions endpoint with your APIMart API key and the model set to qwen3.8-max. For built-in tools such as web search, use the Responses API instead. Full parameters and code examples are in the APIMart docs (docs.apimart.ai).
You can reach us via the live chat in the bottom-right corner, email us at [email protected], or join our Discord community. Our team will get back to you as soon as possible.
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