OpenAI 모델

Text Embedding 3 Large

Text Embedding 3 Large API 가격, 공급자, 컨텍스트 길이, 기능, 활용 사례, 지연 시간, 대안을 비교합니다. General chat via OpenAI, API workloads. $0.13 / 1M tokens / $0 / 1M tokens. — tokens.

OpenAIPlatform curatedCatalog
입력 가격$0.13 / 1M tokens
출력 가격$0 / 1M tokens
컨텍스트 길이— tokens
최대 출력8.2k tokens

NextModel에서 Text Embedding 3 Large은 무엇인가요?

Text Embedding 3 Large API 가격, 공급자, 컨텍스트 길이, 기능, 활용 사례, 지연 시간, 대안을 비교합니다. General chat via OpenAI, API workloads. $0.13 / 1M tokens / $0 / 1M tokens. — tokens.

Text Embedding 3 Large via NextModel: context unpublished; $0.13 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

적합한 활용 사례

  • General chat via OpenAI
  • API workloads

OpenAI 호환 코드 예시

request.sh
curl https://api.nextmodel.app/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -d '{"model":"openai/text-embedding-3-large","messages":[{"role":"user","content":"Reply with OK."}]}'

Switching models only changes the model field.

Playground에서 시험해 보기

유사 대안

OpenAICatalog

Text Embedding 3 Small via NextModel: context unpublished; $0.02 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0.02 / 1M tokensInput—Output—Context
Best forGeneral chat via OpenAI, API workloads
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
OpenAICatalog

GPT Image 1 via NextModel: context unpublished; $0.26 / image in / — out per 1M tokens. Capabilities: streaming, vision.

$0.26 / imagePer image—Context
Best forimage understanding, multimodal chat
StreamingVision
Platform curatedCurated and maintained in the NextModel catalog
View details
OpenAICatalog

GPT Image 1 Mini via NextModel: context unpublished; $0.0539 / image in / — out per 1M tokens. Capabilities: streaming, vision.

$0.0539 / imagePer image—Context
Best forimage understanding, multimodal chat
StreamingVision
Platform curatedCurated and maintained in the NextModel catalog
View details

Reading

Articles that explain Text Embedding 3 Large

FAQ

Text Embedding 3 Large FAQ

지금 시작

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