Text Embedding 3 Large
text-embedding-3-largeText Embedding 3 Large by OpenAI. Via WandAPI, Input (prompt) costs 0.078 Credits / M tokens.
Capabilities
Listed exactly as the catalog flags them, including what this model does not support.
VisionNot supported
Natively multimodal: captioning, classification, visual Q&A, chart and screenshot understanding. Images are converted to tokens at the input rate.
Function CallingNot supported
Connect the model to external tools and APIs: it decides when to call which function and with what arguments, your code runs it. Force or forbid calls with tool_choice.
ReasoningNot supported
The model thinks before answering, which markedly improves multi-step planning and reasoning for coding, math and data analysis. Thinking tokens bill at the output rate.
Prompt CachingNot supported
Repeated prefixes (system prompts, long documents) hit the cache: reads cost far less than input, writes are priced by retention time.
Response SchemaNot supported
Constrain output to a JSON Schema you provide for predictable, type-safe results without parsing free text.
AudioNot supported
Audio input or speech output.
VideoNot supported
Video input understanding or video generation.
File InputNot supported
Upload PDFs and other documents directly; the model reads the whole document with native vision.
StreamingNot supported
Tokens arrive over SSE as they are generated; the first frame is forwarded immediately with no buffering. Claude Code, Codex and similar tools depend on this.
Web SearchNot supported
Vendor-hosted live web retrieval; the model decides when to search and cites sources.
RealtimeNot supported
Bidirectional low-latency voice / text sessions over WebSocket.
SessionNot supported
Server-side multi-turn context (e.g. previous_response_id in Responses) so you need not resend history.
MediaNot supported
Image / video / music generation endpoints.
Multipart FormNot supported
multipart/form-data file-upload requests.
Binary ResponseNot supported
Endpoints that return raw audio / image bytes.
Protocols & code samples
Change the base URL to WandAPI, keep everything else. Native protocols pass straight through; “adapted” ones are translated by the gateway.
| Endpoint | Path | Mode |
|---|---|---|
| Embedding | POST /v1/embeddings | native |
Full price list
List price → WandAPI price per channel, every pricing dimension, nothing hidden.
| Item | Unit | OpenAI list price | Official ChatGPT ×0.6 |
|---|---|---|---|
| Input (prompt) | per 1M tokens | 0.078 Credits |
“Off” is computed at 1 Credit = ¥1 and today’s rate: 1 − channel multiplier × (1 Credit in the list currency).
FAQ
How much does the Text Embedding 3 Large API cost?
Via WandAPI, Input (prompt) costs 0.078 Credits / M tokens, with 1 Credit = ¥1.
Does Text Embedding 3 Large support function calling and structured outputs?
Function calling is not supported; structured outputs (JSON Schema) are not enabled.
One API key for Text Embedding 3 Large and 30+ models
Free credits on sign-up, pay as you go, no monthly fee.