Text Embedding V4
text-embedding-v4Compare text-embedding-v4 API pricing, supported endpoints, capabilities and access options on AImofa.
- Starting price
- Input / Output · 1M
- Context
- 8.2K
- Maximum input window
- Modalities
- →
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
BPE (vendor-specific)Performance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Text Embedding V4
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 Text Embedding V4
Compare text-embedding-v4 API pricing, supported endpoints, capabilities and access options on AImofa.
Use cases and prompting
Starting points for evaluation; supported inputs and options are listed in API access.
Use cases to explore
- Evaluate semantic search with representative queries and documents.
- Compare retrieval quality on your own knowledge base before connecting a downstream assistant.
Practical tips
Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.
API access
API documentation
text-embedding-v4Use the linked documentation for model-specific request parameters and examples.
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.
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | Unlimited | Unlimited | Unlimited |
| official | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about text-embedding-v4
What is text-embedding-v4?
Compare text-embedding-v4 API pricing, supported endpoints, capabilities and access options on AImofa.
How do I call text-embedding-v4?
Create an API key with access to text-embedding-v4, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is text-embedding-v4 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 text-embedding-v4?
The model catalog lists a context window of 8192 tokens. Check the selected endpoint for request limits.
How should I evaluate text-embedding-v4 for my project?
Check whether the endpoint returns embeddings or reranks documents. Keep indexing and query preprocessing consistent.