ernie-5.5-flash-previewCompare ernie-5.5-flash-preview API pricing, supported endpoints, capabilities and access options on Modelsell.
Compare prices and service performance for this model across suppliers.
| Supplier | Discount | Tier | Input/M | Output/M | Cache Read/M | ||||
|---|---|---|---|---|---|---|---|---|---|
Baidu | -35% | Time period Every day · 08:00–22:00 | $0.13 | $0.39 | $0.065 | ||||
Time period Every day · 00:00–08:00 / 22:00–24:00 | $0.065 | $0.195 | $0.065 |
Scroll horizontally to compare all prices and performance metrics.
Time-based prices are determined at settlement. Tool fees are charged separately.
Ernie tokenizerScores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Ernie 5.5 Flash Preview
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.
百度文心 5.5 Flash 预览版,面向编程、工具协作和长材料处理;采用 280B 总参数、14B 激活参数的架构,支持 1M 上下文、函数调用和结构化文本输出。
适合代码开发、长材料分析,以及结合工具制作报告和办公成果。它只直接接收与输出文字;图片、视频和文件制作等工作需要应用提供工具。官方详情标注输入与输出上限均为 1024K;产品页说明默认输出为 64K,实际输出还受上下文剩余空间和渠道参数限制。支持函数调用和结构化输出,不支持内置联网搜索、前缀读写或 FIM。
单位:美元 / 百万 token。按当前站内汇率 1 USD = ¥6.8 将官方人民币单价换算为美元,再对每项单价向上取整到小数点后 1 位;分组倍率另计。缓存读取与普通输入分别取整。
| 档位 | 输入 | 输出 | 缓存读取 |
|---|---|---|---|
| 高峰 08:00–22:00 | $0.2 | $0.6 | $0.1 |
| 空闲 22:00–次日08:00 | $0.1 | $0.3 | $0.1 |
当前报价采用百度限时五折活动价,官方优惠截止时间为 2026-11-30 23:59:59(北京时间)。原价的高峰输入/输出/缓存分别为 ¥2/¥8/¥0.2,空闲为 ¥1/¥4/¥0.1,单位均为每百万 token。峰谷切换按北京时间执行;此配置记录当前活动报价,活动到期需重新核对并更新,不代表已安排自动恢复原价。
单位:人民币 / 百万 token。
| 档位 | 输入 | 输出 | 缓存读取 |
|---|---|---|---|
| 高峰 08:00–22:00 | ¥1 | ¥4 | ¥0.1 |
| 空闲 22:00–次日08:00 | ¥0.5 | ¥2 | ¥0.05 |
资料核实日期:2026-11-12。模型资料与报价已核对;本站渠道的真实推理及缓存结算尚未在本次操作中测试。
向本站 OpenAI 兼容接口发送请求:
POST /v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
{
"model": "ernie-5.5-flash-preview",
"messages": [
{
"role": "user",
"content": "请将这份材料整理为要点、依据和待确认事项。"
}
],
"max_tokens": 2048,
"stream": false
}
工具任务需由应用提供函数定义、执行工具并回传结果。长材料任务请说明输出字段和判断标准,并为最终回答预留输出空间。示例依据接口资料整理,本次未进行真实模型调用。
/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 |
|---|---|---|---|
| Baidu | Unlimited | Unlimited | Unlimited |
No restriction
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