qwen3.7-plusCompare qwen3.7-plus API pricing, supported endpoints, capabilities and access options on Modelsell.
| Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens | Cache Write (1h)/ 1M tokens |
|---|---|---|---|---|
$0.4 | $1.6 | $0.08 | $0.5 | $0.8 |
| Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens | Cache Write (5m)/ 1M tokens | Cache Write (1h)/ 1M tokens |
|---|---|---|---|---|
$0.4 | $1.6 | $0.08 | $0.5 | $0.8 |
Qwen tokenizer (tiktoken-compat)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Qwen3.7 Plus
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
Qwen3.7 Plus 面向需要兼顾理解、生成和工具协作的通用任务。它适合文档撰写、邮件整理、会议纪要归纳、数据分析和代码辅助,可以从较长材料中提取关键条件,再按指定目标组织结果。
办公场景中,可以把会议文字记录、项目计划和历史决定放在一起,让它整理结论、行动项与尚未解决的分歧;提供业务报表和背景说明,则可以让它解释趋势、提出需要补充的数据。它也具备图片理解能力,能够结合图表或界面截图分析问题,适合文字与视觉材料混合的工作。
开发场景可以利用较长上下文保留代码库背景与接口约定,让它比较实现方案、解释调用关系或协助调试。模型支持按请求切换思考模式:多步推理和架构规划可增加思考,明确的改写与提取任务可以直接回答。函数调用和内置工具能力则为检索、计算和外部业务操作提供了协作方式。
如果结果需要进入业务系统,可以提前定义结构化输出字段;如果结果是给人阅读,则明确受众、篇幅和要做的决定。长材料并不意味着每个细节都同等重要,最好指出关注范围并保留原文位置,让提取出的结论能回到材料中检查。
“请结合会议记录和现有项目计划,整理本次确定的决定与行动项。每项写出负责人、截止时间、依赖条件和原文依据。没有明确负责人的事项列为待分派;与旧计划冲突的地方单独列出,不要自行替团队决定。”
/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 qwen3.7-plus API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to qwen3.7-plus, 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.
The model catalog lists a maximum output of 131072 tokens. Your request settings may set a lower limit.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
