Wenxin

Ernie 5.5 Flash Preview

BaiduToken-basedDynamic Pricing
Alias:ernie-5.5-flash-preview
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Compare ernie-5.5-flash-preview API pricing, supported endpoints, capabilities and access options on Modelsell.

textreasoningfunction_callingnew
Starting price
View full pricing
Context
1M
Maximum input window
Max output
1M
Maximum tokens per response
Modalities
→
Released
Nov 2026

Pricing by Supplier

Time-based pricingBeijing time (UTC+8)

Compare prices and service performance for this model across suppliers.

Suppliers1
USD · Per 1M tokensPerformance · Last 24 hours
SupplierDiscountTierInput/MOutput/MCache Read/M
Baidu
-35%
Time period

Every day · 08:00–22:00

$0.13$0.2
$0.39$0.6
$0.065$0.1
Time period

Every day · 00:00–08:00 / 22:00–24:00

$0.065$0.1
$0.195$0.3
$0.065$0.1
Crossed-out amounts are standard prices.Performance over the last 24 hours; actual results vary by request.

Scroll horizontally to compare all prices and performance metrics.

Time-based prices are determined at settlement. Tool fees are charged separately.

Capabilities / Supported modalities

StreamingReasoningFunction callingToolsJSON modeStructured outputPrompt caching
Input
Output

Provider & data privacy

Provider
BaiduDocs
Tokenizer
Ernie tokenizer
License
Proprietary (commercial)Proprietary
Data retention86 daysNot used for upstream training by default

Performance

Benchmarks

Scores 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.

About Ernie 5.5 Flash Preview

ERNIE 5.5 Flash Preview

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。

本站基础报价

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。

官方价格参考

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。

来源

Use cases and prompting

调用示例

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。

API access

API documentation

Code samples

RequestPOST/v1/chat/completions
Example request
Parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum 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
integer0 ~ 20Number 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

Generation parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum 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
integer0 ~ 20Number 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

SupplierRPMTPMRPD
BaiduUnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about ernie-5.5-flash-preview

What is ernie-5.5-flash-preview?

Compare ernie-5.5-flash-preview API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call ernie-5.5-flash-preview?

Create an API key with access to ernie-5.5-flash-preview, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is ernie-5.5-flash-preview 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 ernie-5.5-flash-preview?

The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.

What is the maximum output of ernie-5.5-flash-preview?

The model catalog lists a maximum output of 1048576 tokens. Your request settings may set a lower limit.

How should I evaluate ernie-5.5-flash-preview for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.