Doubao Seed 2.0 Lite 260428
doubao-seed-2-0-lite-260428Compare doubao-seed-2-0-lite-260428 API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 262.1K
- Maximum input window
- Max output
- 131.1K
- Maximum tokens per response
- Modalities
- →
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
Doubao tokenizerPerformance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Doubao Seed 2.0 Lite 260428
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.
About Doubao Seed 2.0 Lite 260428
把多种业务材料放在一起分析
豆包 Seed 2.0 Lite 面向规模化业务应用，能够处理文字及视觉材料，并根据任务要求进行推理和组织答案。商品图配合规格表、教学视频配合课程说明、系统截图配合故障描述，都可以成为同一项分析的输入，适合内容整理、客服辅助、资料核查与多模态工作流。
它支持结构化输出，便于将识别结果交给业务程序。例如从商品资料中整理名称、型号、颜色和待确认项，或把视频内容归纳为分段摘要。需要固定字段时，应同时定义字段类型、必填规则和缺失值处理方式，再验证返回内容，而不是只要求“输出 JSON”。
能根据屏幕操作软件吗？
模型具备 GUI 任务理解与工具协作能力，可以结合界面状态判断下一步。点击、输入、文件读写和接口调用仍由应用提供的工具执行。接入时需要将执行后的新状态回传，才能让模型检查操作是否达到目标，避免只生成一份操作计划就当作任务完成。
视频里出现的每个瞬间都能看见吗？
视频理解会受到输入方式和抽帧设置影响。短暂出现的文字、快速切换的画面和很小的细节，应提供清晰片段或补充截图。要求模型把可见事实与推测分开，并在有依据时标注时间位置，方便回看核实。
普通任务也要深度思考吗？
可以按任务难度选择接口支持的思考设置。简单分类与摘录可以使用更直接的流程；多条件比较、原因分析和工具决策则适合留出更多推理空间。长材料也要预留输出预算，避免重要结果在结尾被截断。
Use cases and prompting
把材料与判定标准一起提交。例如上传产品演示视频和功能说明，要求：“逐项检查视频是否演示了登录、搜索和导出三个功能。按功能列出可见证据与对应时间；看不到的写未展示，不推断已经实现。最后给出补拍建议。”
需要交给程序处理时，定义统一的结果结构，例如功能名、是否展示、证据、时间和备注，并采用接入端点支持的结构化输出方式。涉及软件操作时，为工具限定可执行范围，回传每步结果，再让模型决定下一步。
API access
API documentation
Code samples
/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.
Authentication
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.
Supported parameters
| 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 |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Volcengine | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about doubao-seed-2-0-lite-260428
What is doubao-seed-2-0-lite-260428?
Compare doubao-seed-2-0-lite-260428 API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call doubao-seed-2-0-lite-260428?
Create an API key with access to doubao-seed-2-0-lite-260428, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is doubao-seed-2-0-lite-260428 priced?
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.
What is the context window of doubao-seed-2-0-lite-260428?
The model catalog lists a context window of 262144 tokens. Check the selected endpoint for request limits.
What is the maximum output of doubao-seed-2-0-lite-260428?
The model catalog lists a maximum output of 131072 tokens. Your request settings may set a lower limit.
How should I evaluate doubao-seed-2-0-lite-260428 for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.