qwen3.8-maxCompare qwen3.8-max API pricing, supported endpoints, capabilities and access options on Modelsell.
Qwen tokenizer (tiktoken-compat)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Qwen3.8 Max
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Qwen3.8 Max 是千问系列面向高要求任务的模型,适合多步逻辑推演、代码调试、架构规划和复杂资料分析。遇到多个目标互相牵制的问题,可以让它先整理约束,再比较方案,说明选择依据与仍需验证的条件。
模型可结合文字、图片和视频理解任务,输出文本。大型代码项目可以提供模块说明、相关实现与运行画面;业务分析可以提供讨论记录、操作资料和图表,让模型检查不同材料是否相互支持。材料越多,越应明确任务目标、重要性顺序和出处,避免长上下文变成没有主线的资料堆。
Qwen3.8 Max支持思考模式、函数调用、内置工具与结构化输出。应用可以根据任务接入检索、执行或业务工具,让分析连接到实际数据与操作;需要程序处理结果时,提前定义字段、枚举和缺失值规则,减少后续转换成本。
复杂任务适合先产出可讨论的方案,再通过实际结果逐步收敛。要求模型列出反对证据、失败条件和验证方法,有助于避免只给出听起来完整的建议。最终交付应包括结论、依据与执行步骤,方便团队审阅和接续。
“现有搜索服务需要同时改善响应速度和数据更新及时性。根据下面的架构、查询日志与更新流程,比较缓存、索引优化和异步预计算三种方案。先定义比较标准,再分析依赖、失败条件和实施顺序。不要假设不存在的监控数据,缺失信息单独列出。”
指定比较维度和交付结构,要求推荐方案、依据、取舍、实施步骤与验证条件,避免只列优缺点。
先约定字段与取值,应用端仍应校验类型、必填项和业务范围。工具返回的数据与模型推断也应明确区分。
/v1/chat/completions| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | Unlimited | Unlimited | Unlimited |
| official | Unlimited | Unlimited | Unlimited |
No restriction
Compare qwen3.8-max API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to qwen3.8-max, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
