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Text Embedding 3 Large Batch använder /v1/batches med exakt modell-ID openai/text-embedding-3-large:batch. Sätt endpoint till /v1/embeddings och ange requests; varje post innehåller custom_id och en body med input som en textsträng eller en array med strängar. Behåll identifierarna oförändrade så att applikationen kan koppla resultaten till en uppdatering av sökindexet.

Batchen är asynkron. Spara det ursprungliga returnerade operations-ID:t och använd GET /v1/batches/{operation_id} för att följa samma operation med samma anropare. En färdig resultatuppsättning kan innehålla ett response eller error för varje custom_id, så granska posternas utfall såväl som den övergripande statusen.

Spara alla färdiga resultat som JSONL och bevara varje custom_id och dess fullständiga response eller error. Koppla lyckade vektorer till de inskickade dokument-ID:na innan du uppdaterar indexet. Behåll den ursprungliga operationen och posternas uppgifter samlade så att en ofullständig eller misslyckad post kan utredas utan att redan returnerade resultat går förlorade.

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•

OpenAI: Text Embedding 3 Large (batch)

Annat /openai/text-embedding-3-large:batch

Start

Text Embedding 3 Large Batch skickar grupper av begäranden om textinbäddningar som en gemensam Ailoot-batch. Följ varje post med custom_id och hämta den ursprungliga operationens fullständiga resultat.

Godkända indata
Text
Resultat
embedding
Om modellen

Den här beskrivningen omfattar modellens förmågor. Tillgängliga indata, utdata och alternativ i Ailoot anges nedan för den valda metoden.

Text Embedding 3 Large Batch använder /v1/batches med exakt modell-ID openai/text-embedding-3-large:batch. Sätt endpoint till /v1/embeddings och ange requests; varje post innehåller custom_id och en body med input som en textsträng eller en array med strängar. Behåll identifierarna oförändrade så att applikationen kan koppla resultaten till en uppdatering av sökindexet.

Batchen är asynkron. Spara det ursprungliga returnerade operations-ID:t och använd GET /v1/batches/{operation_id} för att följa samma operation med samma anropare. En färdig resultatuppsättning kan innehålla ett response eller error för varje custom_id, så granska posternas utfall såväl som den övergripande statusen.

Spara alla färdiga resultat som JSONL och bevara varje custom_id och dess fullständiga response eller error. Koppla lyckade vektorer till de inskickade dokument-ID:na innan du uppdaterar indexet. Behåll den ursprungliga operationen och posternas uppgifter samlade så att en ofullständig eller misslyckad post kan utredas utan att redan returnerade resultat går förlorade.

Tillgängligt i Ailoot · indata & metoder

Ailoot Ultra · Batch POST /v1/batches
Indatatyper
text
Utdatatyper
embedding
FältTypKravVärden & gränserStandard
FältmodelTypstringKravObligatorisktVärden & gränser
openai/text-embedding-3-large:batch
Villkor: Använd exakt denna routningsväljare för Ailoot.
Standard—
FältendpointTypstringKravObligatorisktVärden & gränser
/v1/embeddings
Villkor:
Standard—
FältrequestsTyparrayKravObligatorisktVärden & gränser
Villkor:
Standard—
Metodparametrar och livscykel
ParameterAvtal
Parametercontent_typeAvtalapplication/json
ParameterrequiredAvtalmodel, endpoint, requests
ParameteroptionalAvtal
Parametermaterial_typesAvtaltext
ParameterconditionsAvtalAnvänd exakt denna routningsväljare för Ailoot.

Livscykel: asynchronous

GET /v1/batches/{operation_id} · Det verkliga ursprungliga response.id, samma anropare, nyckel och grupp.

Priser

Tariffuppgifter lägger inte till begäransalternativ. Parametrar som stöds anges för den valda metoden.

Snabbt läge
Ej angivet När snabbt läge är valt
Flex-läge
Ej angivet När läget flex är valt
Högsta resonemangsnivå
Ej angivet När den högsta resonemangsnivån använder standardjusteringen (default)
Prissättning för explicit cache
Inte aktiverat När explicit cache begärs

Ailoot-priser

Priser efter konfiguration

Matcha varje avgift mot de visade villkoren. Använd ett pris för varje uppsättning alternativa konfigurationer.

KonfigurationPrislistaKontexttoken, fler änKontexttoken, upp till och medAvgift
KonfigurationGrundpriser för tokenPrislistaGrundprisKontexttoken, fler än—Kontexttoken, upp till och medIngen övre gränsAvgift
Indata · Indatatoken $0.00013 / 1K token
Utdata · Utdatatoken $0 / 1K token
Indata · Cacheläsning — / 1K token
Indata · Skrivning till cache — / 1K token
Indata · Skrivning till cache, 1 tim — / 1K token
KonfigurationNivå 1 för förfrågans längdPrislista—Kontexttoken, fler än0Kontexttoken, upp till och medIngen övre gränsAvgift
Indata · Indatatoken $0.00013 / 1K token
Utdata · Utdatatoken $0 / 1K token
Indata · Cacheläsning — / 1K token
Indata · Skrivning till cache — / 1K token
Indata · Skrivning till cache, 1 tim — / 1K token

Ailoot reserverar ett uppskattat belopp före en begäran. Efter resultatet slutregleras avgiften utifrån uppmätt förbrukning. Slutreglering för strömning använder den slutliga förbrukningsposten. Så fungerar reservation och slutreglering →

Exempelbegäranden

Ailoot Ultra · Batch

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [{"custom_id": "embedding-1", "body": {"input": "The quick brown fox jumps over the lazy dog"}}]}')\n\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n

Ta emot och spara resultat

Ailoot Ultra · Batch

Behåll alla färdiga resultat

Behåll varje fullständigt returnerat svar, fil och innehållsdel.

Behåll ursprunglig status, varje custom_id och hela svaret eller felet. Spara alla slutförda results[] i JSONL-format; ingen sökväg för uppladdning eller nedladdning via Files härleds.

Om det ursprungliga svaret behöver kontrolleras

Behåll det ursprungliga operations-ID:t och läs endast den ursprungliga batchen. En timeout, ett fel eller ett okänt tillstånd ger inte tillstånd till en ny skapandebegäran.

Svarsfält
FältTyp
Fältresults[]Typarray
Fältresults[].custom_idTypstring
Fältresults[].responseTypobject
Fältresults[].errorTypobject
Fel och nästa steg
SvarVillkorNästa steg
Svar400 · invalid_request_errorVillkorEtt obligatoriskt fält, en modellväljare, en typ eller en representation av indata är ogiltig.Nästa stegGranska den returnerade valideringsinformationen innan du förbereder en separat begäran.
SvarVillkorDen ursprungliga begäran eller resultatet är okänt eller behöver kontrolleras.Nästa stegBehåll ursprungliga identifierare och huvuden; läs endast status- eller biblioteksposter som stöds. Skicka inte skapandebegäran igen.

Alias

Modellalias

Ailoot Ultra openai/text-embedding-3-large:batch

Alias för metodsökvägar

Använd metodsökvägarna som visas ovan.

Relaterade anropar-ID:n

openai/text-embedding-3-large:batch

", "method_identity": { "effective_request_model_id": "openai/text-embedding-3-large:batch", "fmt": "batches", "http": "POST", "path": "/v1/batches", "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra" }, "method_key": "Ultra|batches|/v1/batches|openai%2Ftext-embedding-3-large%3Abatch", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Ett obligatoriskt fält, en modellväljare, en typ eller en representation av indata är ogiltig.", "http_status": 400, "recovery": "Granska den returnerade valideringsinformationen innan du förbereder en separat begäran.", "type": "invalid_request_error" }, { "condition": "Den ursprungliga begäran eller resultatet är okänt eller behöver kontrolleras.", "http_status": null, "recovery": "Behåll ursprungliga identifierare och huvuden; läs endast status- eller biblioteksposter som stöds. Skicka inte skapandebegäran igen.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "actual original response.id, same caller/key/group", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Behåll det ursprungliga operations-ID:t och läs endast den ursprungliga batchen. En timeout, ett fel eller ett okänt tillstånd ger inte tillstånd till en ny skapandebegäran.", "unknown_no_replay": true }, "outputs": { "all_results": "Behåll ursprunglig status, varje custom_id och hela svaret eller felet. Spara alla slutförda results[] i JSONL-format; ingen sökväg för uppladdning eller nedladdning via Files härleds.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] }, "parameters": [ { "conditions": "Använd exakt denna routningsväljare för Ailoot.", "default_known": false, "enum": [ "openai/text-embedding-3-large:batch" ], "enum_known": true, "maximum_length": null, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum": [ "/v1/embeddings" ], "enum_known": true, "maximum_length": null, "name": "endpoint", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "maximum_length": null, "minItems": 1, "name": "requests", "required": true, "type": "array" } ], "request_schema": { "additionalProperties": true, "properties": { "endpoint": { "enum": [ "/v1/embeddings" ], "type": "string" }, "model": { "enum": [ "openai/text-embedding-3-large:batch" ], "type": "string" }, "requests": { "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "model", "endpoint", "requests" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [ { "body": { "input": "The quick brown fox jumps over the lazy dog" }, "custom_id": "embedding-1" } ] }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Använd exakt denna routningsväljare för Ailoot." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [], "required": [ "model", "endpoint", "requests" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "Det verkliga ursprungliga response.id, samma anropare, nyckel och grupp.", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/batches" }, "method_aliases": [], "output": { "all_results": "Preserve original status, every custom_id and full response/error. Save all completed results[] as JSONL; no Files upload/download path is inferred.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n", "label": "Read the original batch and preserve every result", "language": "bash" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "http": "POST", "in": 0.13, "input": [ "text" ], "label": "Batch", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": 0, "output": [ "embedding" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": null, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.13, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 0, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } } ], "model_id": "openai/text-embedding-3-large:batch", "nativeProvenance": { "input_facts_canonical_sha256": "92af238612b9f4c3f1d07c6836b9d6d419e5cd3b505f7cf6f0829fd8922d3118", "input_html_sha256": "146a9c6bf1d457bda0de9348498fa703155626620952e1633456feafd7ba5d0a", "private_audit_sha256": "c4f0c79049527c0104cfa3019432555dbb0cef14bae9ea797c6482076b14020c", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/sv/openai-text-embedding-3-large-u003a-batch/", "description": "Text Embedding 3 Large Batch skickar grupper av begäranden om textinbäddningar som en gemensam Ailoot-batch. Följ varje post med custom_id och hämta den ursprungliga operationens fullständiga resultat.", "locale": "sv", "md_url": "https://ailoot.ai/models/sv/openai-text-embedding-3-large-u003a-batch/index.md", "title": "OpenAI: Text Embedding 3 Large (batch) — Ailoot", "url": "https://ailoot.ai/models/sv/openai-text-embedding-3-large-u003a-batch/" }, "rawModel": { "about": "Text Embedding 3 Large Batch använder /v1/batches med exakt modell-ID openai/text-embedding-3-large:batch. Sätt endpoint till /v1/embeddings och ange requests; varje post innehåller custom_id och en body med input som en textsträng eller en array med strängar. Behåll identifierarna oförändrade så att applikationen kan koppla resultaten till en uppdatering av sökindexet.\n\nBatchen är asynkron. Spara det ursprungliga returnerade operations-ID:t och använd GET /v1/batches/{operation_id} för att följa samma operation med samma anropare. En färdig resultatuppsättning kan innehålla ett response eller error för varje custom_id, så granska posternas utfall såväl som den övergripande statusen.\n\nSpara alla färdiga resultat som JSONL och bevara varje custom_id och dess fullständiga response eller error. Koppla lyckade vektorer till de inskickade dokument-ID:na innan du uppdaterar indexet. Behåll den ursprungliga operationen och posternas uppgifter samlade så att en ofullständig eller misslyckad post kan utredas utan att redan returnerade resultat går förlorade.", "alias_of": null, "aliases": [], "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ], "summary": "Fullständig prissättning för konfigurationen finns i detaljerna." } ], "ctx": null, "formats": [ "batches" ], "id": "openai/text-embedding-3-large:batch", "input": [ "text" ], "kind": "embedding", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Ett obligatoriskt fält, en modellväljare, en typ eller en representation av indata är ogiltig.", "http_status": 400, "recovery": "Granska den returnerade valideringsinformationen innan du förbereder en separat begäran.", "type": "invalid_request_error" }, { "condition": "Den ursprungliga begäran eller resultatet är okänt eller behöver kontrolleras.", "http_status": null, "recovery": "Behåll ursprungliga identifierare och huvuden; läs endast status- eller biblioteksposter som stöds. Skicka inte skapandebegäran igen.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "actual original response.id, same caller/key/group", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Behåll det ursprungliga operations-ID:t och läs endast den ursprungliga batchen. En timeout, ett fel eller ett okänt tillstånd ger inte tillstånd till en ny skapandebegäran.", "unknown_no_replay": true }, "outputs": { "all_results": "Behåll ursprunglig status, varje custom_id och hela svaret eller felet. Spara alla slutförda results[] i JSONL-format; ingen sökväg för uppladdning eller nedladdning via Files härleds.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] }, "parameters": [ { "conditions": "Använd exakt denna routningsväljare för Ailoot.", "default_known": false, "enum": [ "openai/text-embedding-3-large:batch" ], "enum_known": true, "maximum_length": null, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum": [ "/v1/embeddings" ], "enum_known": true, "maximum_length": null, "name": "endpoint", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "maximum_length": null, "minItems": 1, "name": "requests", "required": true, "type": "array" } ], "request_schema": { "additionalProperties": true, "properties": { "endpoint": { "enum": [ "/v1/embeddings" ], "type": "string" }, "model": { "enum": [ "openai/text-embedding-3-large:batch" ], "type": "string" }, "requests": { "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "model", "endpoint", "requests" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [ { "body": { "input": "The quick brown fox jumps over the lazy dog" }, "custom_id": "embedding-1" } ] }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Använd exakt denna routningsväljare för Ailoot." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [], "required": [ "model", "endpoint", "requests" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "Det verkliga ursprungliga response.id, samma anropare, nyckel och grupp.", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/batches" }, "method_aliases": [], "output": { "all_results": "Preserve original status, every custom_id and full response/error. Save all completed results[] as JSONL; no Files upload/download path is inferred.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n", "label": "Read the original batch and preserve every result", "language": "bash" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "http": "POST", "in": 0.13, "input": [ "text" ], "label": "Batch", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": 0, "output": [ "embedding" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": null, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.13, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 0, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "model_aliases": [ { "canonical_model_id": "openai/text-embedding-3-large:batch", "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra" } ], "name": "OpenAI: Text Embedding 3 Large (batch)", "price": { "in": 0.13, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0.13, "sort_out": 0, "varies": true }, "short": "Text Embedding 3 Large Batch skickar grupper av begäranden om textinbäddningar som en gemensam Ailoot-batch. Följ varje post med custom_id och hämta den ursprungliga operationens fullständiga resultat.", "title": "OpenAI: Text Embedding 3 Large (batch)" }, "renderer_schema": { "method_order": "Original DTO methods order; every exact route/format/path/caller survives.", "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers." }, "representation": "exact-public-dto-and-native-renderer-html", "representationNotes": { "current_reference": { "about_json_pointer": "/aboutHtml", "methods": [ { "contract_json_pointer": "/methods/0/rawMethod/contract", "html_json_pointer": "/methods/0/html", "method_ordinal": 0 } ], "role": "current-semantic-reference" }, "raw_input": { "examples_role": "historical-input-not-current-ready-examples", "json_pointers": [ "/rawModel", "/methods/0/rawMethod" ], "role": "historical-owner-input" }, "schema": "ailoot-native-model-representations-v1" }, "schema": "ailoot-static-model-facts-v1", "schema_version": 1, "shortText": "Text Embedding 3 Large Batch skickar grupper av begäranden om textinbäddningar som en gemensam Ailoot-batch. Följ varje post med custom_id och hämta den ursprungliga operationens fullständiga resultat.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "d461a5077ad460bf7fa4ab2cf8ad4ed4a9352bcc9f0ca5d38e4dfedd4d8a1188", "renderer_sha256": "8a45bb31b83d2551e6d975cf4683518c7cb445a54b9394a01947f4dd103f1051" }, "sourceRevision": "018213366b1684afbd3c21da45df2dcd5d576cc49d590c3441d34783ba4c38f2" }