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Model infoModelsSnapshot: 15 Oct 2026

Baidu / Baidu Embedding

Embedding V1

Baidu text embedding service returning 384-dimensional vectors for semantic retrieval.

Embeddings
availableClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
6 of 20 specification fields collected
Input token limit384384 tokens
Vector dimensions384384 dimensions
Input billingSee ratesBaidu Qianfan China
Output billingSee ratesPublished units and conditions below

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected
Maximum output
Not collected
Input modalities
TextSource for Input modalities (opens in a new tab)
Output modalities
VectorsSource for Output modalities (opens in a new tab)
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Context caching
Not collected
Embedding dimensions
384 dimensionsSource for Embedding dimensions (opens in a new tab)
Maximum input tokens
384 tokensSource for Maximum input tokens (opens in a new tab)
Maximum prompt characters
1,000 characters AND 384 tokens per textSource for Maximum prompt characters (opens in a new tab)
Request limits
Up to 16 non-empty texts per request. Float output encoding.Source for Request limits (opens in a new tab)

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Baidu Qianfan China

Provider source (opens in a new tab)
API model ID
embedding-v1
Access
Qianfan account and appropriate API key required. Documented access has not been verified with a paid inference call.
Regions
China platform; a hostname alone does not establish data residency.
API endpoint URL
POST https://qianfan.baidubce.com/v2/embeddingsSource for API endpoint URL (opens in a new tab)

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 12 Oct 2026
CategoryUsageRateUnit
Text embeddingsInput1CN¥0.501 million input tokens

Rate conditions

  1. Published CNY 0.0005 per 1,000 input tokens, normalized without currency conversion. No output-token charge is invented.
Pricing source (opens in a new tab)

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Baidu Qianfan China

embedding-v1
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
The reviewed material does not establish model-specific cache eligibility, TTL, minimum prefix or discounted rates for this record. Generic API usage fields do not prove support.Source for Limits & data boundaries (opens in a new tab)

No verified cache rate for this endpoint. An empty rate is not a zero charge.

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Inferred for this exact named Baidu commercial model from native documentation and comparison with Baidu’s public model repositories. No weights for this exact service were found in the reviewed inventory. Public ERNIE 4.5 and ERNIE Image releases are excluded, and ambiguous Turbo mappings remain under review. This is not proof that all Baidu models are closed.

Classification evidence (opens in a new tab)

Sources reviewed