text·image·video
silvamux/
doubao-seed-evolvingDoubao Seed Evolving是一款侧重信息检索/RAG的模型,在文本理解方面也有较好表现。它适合处理企业知识检索、资料问答与检索增强生成,可作为相关业务流程中的理解、推理或生成能力底座。
Pricing
Tune and Pro share the same prices.
| Input context | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| - | ¥6 / 1M tokens | ¥30 / 1M tokens | ¥1.2 / 1M tokens | ¥6 / 1M tokens |
Capabilities
Doubao Seed Evolving在本轮能力评测中综合得分74,整体表现良好。其信息检索 / RAG(94%)和文本理解(92%)表现突出,能够从知识库和多来源资料中定位信息、组织证据并生成有依据的回答,并分析文档语义、提取关键信息并处理复杂问答。对企业知识库团队、AI 应用开发者和研究人员而言,它适合用于资料检索、文档问答、信息抽取和检索增强生成场景,解决从大量资料中找到相关信息,并形成可用于后续决策的回答;创意写作(88%)也为相关任务提供补充。它的主要限制在于,长文本处理(28%)相对较弱,在超长材料、跨章节引用和持续上下文任务中,建议拆分输入并核对关键信息是否遗漏。
74/ 100
专项进阶能力
8 items智能体协同41%
7 questions · 主/客观混合
代码生成80%
10 questions · 客观
代码理解与调试61%
12 questions · 主/客观混合
创意写作88%
17 questions · 主观
信息检索 / RAG94%
13 questions · 主/客观混合
长文本处理28%
3 questions · 主/客观混合
数学与科学推理86%
14 questions · 客观
多语言能力87%
10 questions · 主/客观混合
通用基础能力
3 items通识知识78%
15 questions · 主/客观混合
文本理解92%
5 questions · 主观
逻辑推理62%
20 questions · 主/客观混合
安全与合规能力
2 items幻觉控制81%
9 questions · 主观
指令遵循87%
14 questions · 主观
Performance
Doubao Seed Evolving
doubao-seed-evolving- 延迟
- 99.47s
- 吞吐量
- 1.14Ktokens/min
- 可用率
- 98.66%
Availability
98.66%- 完成率
- 90%
- 缓存命中率
- 6.6%
- 累计评测耗时
- 39961.3s
- Token 消耗
- 761,041tokens
- 平均请求次数
- 1.1次
- TPM
- 1,143tokens/min
- QPM
- 0.2req/min
Doubao Seed Evolving example code and API
Pro
doubao-seed-evolving/api/v0/chat/completions/api/v3/chat/completionscurl https://www.silvamux.com/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seed-evolving",
"messages": [{"role": "user", "content": "Hello, please introduce yourself"}]
}'# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://www.silvamux.com/api/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="doubao-seed-evolving",
messages=[
{"role": "user", "content": "Hello, please introduce yourself"}
],
)
print(response.choices[0].message.content)// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;
OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"doubao-seed-evolving\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello, please introduce yourself\"}]}";
Request request = new Request.Builder()
.url("https://www.silvamux.com/api/v1/chat/completions")
.header("Authorization", "Bearer YOUR_API_KEY")
.post(RequestBody.create(payload, json))
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}// npm install openai
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://www.silvamux.com/api/v1',
apiKey: 'YOUR_API_KEY',
})
const response = await client.chat.completions.create({
model: 'doubao-seed-evolving',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)