Doubao Seed 2.1 Pro 260628
doubao-seed-2-1-pro-260628Compare doubao-seed-2-1-pro-260628 API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 262.1K
- Maximum input window
- Max output
- 262.1K
- 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 2.1 Pro 260628
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 2.1 Pro 260628
让助手理解材料，也理解操作过程
豆包 Seed 2.1 Pro 可以把文字说明、界面截图和视频中的信息放在一起理解，再通过深度思考形成回答或操作计划。它适合需要多种材料交叉判断的工作，例如复盘产品操作流程、分析复杂业务问题、整理演示视频，以及为工具驱动的业务助手规划下一步。
做产品和运营分析时，可以提供用户目标、关键页面和实际操作片段，让它梳理从进入页面到完成任务的路径，找出文案不清、状态反馈缺失或步骤重复的地方。做技术排障时，则把界面现象、日志和预期行为一起提供，让模型区分画面可见的事实与需要进一步验证的原因，避免只根据一个报错就下结论。
它支持 GUI 任务处理和工具调用，适合放进能读取界面、获取业务数据并执行操作的应用中。模型负责理解目标与选择动作，应用负责提供工具、执行动作和返回结果。需要交接给其他系统时，可以用结构化输出约定字段，例如步骤、依据、所需输入和完成条件，让结果更容易落到业务流程。
复杂任务应给思考和回答留出足够空间。长材料加上很短的输出限制，可能让最终方案缺少关键步骤。建议先得到任务分解和风险点，再逐段推进执行；界面变化或工具报错时，把最新反馈补充进去，让后续判断建立在当前状态上。
Use cases and prompting
分析一段操作录像
提供视频及用户要完成的目标，必要时补充关键页面截图。
提示词示例： “这段录像展示新用户首次创建项目。请按操作顺序列出用户意图、界面反馈和卡点，区分画面直接显示的问题与推测原因。随后提出三项改进，并为每项写出可以实际验收的标准。”
常见问题
- 能直接替我点击页面吗？需要应用提供界面操作工具，并把执行后的画面返回给模型；单次文本回答只是操作建议。
- 怎样让流程结果便于程序读取？使用结构化输出，提前定义步骤、状态、依据等字段及其类型。
- 深度思考后回答不完整怎么办？增加回答预算，或把分析、方案和操作步骤拆成连续请求。
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-2-1-pro-260628
What is doubao-seed-2-1-pro-260628?
Compare doubao-seed-2-1-pro-260628 API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call doubao-seed-2-1-pro-260628?
Create an API key with access to doubao-seed-2-1-pro-260628, 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-2-1-pro-260628 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-2-1-pro-260628?
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-2-1-pro-260628?
The model catalog lists a maximum output of 262144 tokens. Your request settings may set a lower limit.
How should I evaluate doubao-seed-2-1-pro-260628 for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.