doubao-seed-2-0-mini-260428Compare doubao-seed-2-0-mini-260428 API pricing, supported endpoints, capabilities and access options on Modelsell.
Doubao tokenizerScores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Doubao Seed 2.0 Mini 260428
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豆包 Seed 2.0 Mini 适合范围明确、频繁发生的任务:把反馈归类、从商品图片整理可见属性、压缩一段说明,或将不同语言的内容转换为统一的摘要。它支持多模态理解与推理,在轻量应用中兼顾内容处理和响应效率,便于作为客服助手、资料录入或内容管理流程的一环。
模型可以结合文字、图片和视频分析材料,也支持结构化输出与工具调用。先给出需要提取的字段和分类规则,再提交相应内容,有助于把结果接入程序。例如产品资料缺少重量时,应明确返回空值或“未提供”,而不是让模型为了填满表格猜一个数字。
提供术语表、目标语言和统一口径。对于产品名称、规格单位和专有名词,可以要求保留原文或按指定译法处理;需要跨语言比较时,先提取相同字段,再判断差异,避免混在一段自由摘要中难以核对。
可以使用思考能力处理多条件任务,但应先拆清目标。把分类、摘录和解释分成明确步骤,并用业务样本检查错误类型。涉及大量依赖、长链路决策或难以验证的结论时,保留复核与更强模型处理的路径。
只有应用接入并执行相应工具后,才能获得实时订单数据。模型可以根据工具定义提出调用请求,再结合返回结果回答;没有返回数据时,应说明缺少信息,不能凭对话猜测实际状态。
适合先从固定字段任务开始。例如提交几条不同语言的客户反馈,要求:“逐条输出产品名、主要问题、情绪、是否需要人工跟进;问题类别限定为质量、物流、使用咨询和其他。保留原句依据,未提及的内容留空,不补充订单状态。”
图片解析时上传清晰图片,说明只整理可见属性;视频任务则尽量选取相关片段。需要程序接收结果时使用接口支持的结构化输出方式,并验证必填字段与类别。对简单任务控制回答长度,复杂比较再增加推理和输出预算。
/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 |
|---|---|---|---|
| Volcengine | Unlimited | Unlimited | Unlimited |
No restriction
Compare doubao-seed-2-0-mini-260428 API pricing, supported endpoints, capabilities and access options on Modelsell.
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