{ "aboutHtml": "

GLM-4.5-Flash is de Flash-editie uitsluitend voor tekst binnen de GLM-4.5-familie van Zhipu. De fabrikant beschrijft een contextvenster van 128K, gestructureerde uitvoer en een hybride opzet met redeneer- en directe antwoordmodi. Softwareontwikkeling, frontendprogrammering, toolgebruik en tekstwerk in meerdere gespreksbeurten zijn belangrijke toepassingen.

Bereid de taak en het bewijsmateriaal voor

Lever voor een softwarewijziging de relevante code, het waargenomen gedrag, de randvoorwaarden en de acceptatiecriteria aan. Label bij een taak met lange documenten de bronsecties en benoem de feiten die moeten worden geëxtraheerd of vergeleken. Geef de vereiste uitvoerstructuur op, zoals een patch, een JSON-object of een vertaalde passage.

Houd tools en antwoorden uit elkaar

De mogelijkheid van het model om tools aan te roepen ondersteunt applicaties die tooldefinities aanbieden en toolresultaten teruggeven. Een gegenereerd toolrequest vraagt de applicatie om die actie uit te voeren. Bewaar het teruggegeven bewijsmateriaal wanneer u het model laat doorgaan en controleer code of gestructureerde gegevens aan de hand van de projecteisen.

Selecteer via Ailoot deze exacte model-ID in /v1/chat/completions en geef de taak mee in messages. Elk bericht bevat een role en de bijbehorende content; houd de relevante instructie en het bronmateriaal bij elkaar. Verzamel de volledige JSON-response of alle SSE-segmenten wanneer stream is ingeschakeld en bewaar usage bij het geschreven resultaat.

", "aboutText": "GLM-4.5-Flash is de Flash-editie uitsluitend voor tekst binnen de GLM-4.5-familie van Zhipu. De fabrikant beschrijft een contextvenster van 128K, gestructureerde uitvoer en een hybride opzet met redeneer- en directe antwoordmodi. Softwareontwikkeling, frontendprogrammering, toolgebruik en tekstwerk in meerdere gespreksbeurten zijn belangrijke toepassingen.\n\n### Bereid de taak en het bewijsmateriaal voor\n\nLever voor een softwarewijziging de relevante code, het waargenomen gedrag, de randvoorwaarden en de acceptatiecriteria aan. Label bij een taak met lange documenten de bronsecties en benoem de feiten die moeten worden geëxtraheerd of vergeleken. Geef de vereiste uitvoerstructuur op, zoals een patch, een JSON-object of een vertaalde passage.\n\n### Houd tools en antwoorden uit elkaar\n\nDe mogelijkheid van het model om tools aan te roepen ondersteunt applicaties die tooldefinities aanbieden en toolresultaten teruggeven. Een gegenereerd toolrequest vraagt de applicatie om die actie uit te voeren. Bewaar het teruggegeven bewijsmateriaal wanneer u het model laat doorgaan en controleer code of gestructureerde gegevens aan de hand van de projecteisen.\n\nSelecteer via Ailoot deze exacte model-ID in /v1/chat/completions en geef de taak mee in messages. Elk bericht bevat een role en de bijbehorende content; houd de relevante instructie en het bronmateriaal bij elkaar. Verzamel de volledige JSON-response of alle SSE-segmenten wanneer stream is ingeschakeld en bewaar usage bij het geschreven resultaat.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "405886dcee03dcaf53dc685fca81b6c837dddaf95bce727610697544eb9bff02", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "nl", "methods": [ { "html": "
•

GLM-4.5-Flash

Overig /glm-4.5-flash

Aan de slag

GLM-4.5-Flash is het tekstmodel van Zhipu voor redeneren, codegeneratie, werk met lange documenten en taken met externe tools.

Toegestane invoer
Tekst · Afbeeldingen
Resultaten
Tekst
Over het model

Deze beschrijving gaat over de mogelijkheden van het model. De via Ailoot beschikbare invoer, uitvoer en opties staan hieronder voor de geselecteerde methode.

GLM-4.5-Flash is de Flash-editie uitsluitend voor tekst binnen de GLM-4.5-familie van Zhipu. De fabrikant beschrijft een contextvenster van 128K, gestructureerde uitvoer en een hybride opzet met redeneer- en directe antwoordmodi. Softwareontwikkeling, frontendprogrammering, toolgebruik en tekstwerk in meerdere gespreksbeurten zijn belangrijke toepassingen.

Bereid de taak en het bewijsmateriaal voor

Lever voor een softwarewijziging de relevante code, het waargenomen gedrag, de randvoorwaarden en de acceptatiecriteria aan. Label bij een taak met lange documenten de bronsecties en benoem de feiten die moeten worden geëxtraheerd of vergeleken. Geef de vereiste uitvoerstructuur op, zoals een patch, een JSON-object of een vertaalde passage.

Houd tools en antwoorden uit elkaar

De mogelijkheid van het model om tools aan te roepen ondersteunt applicaties die tooldefinities aanbieden en toolresultaten teruggeven. Een gegenereerd toolrequest vraagt de applicatie om die actie uit te voeren. Bewaar het teruggegeven bewijsmateriaal wanneer u het model laat doorgaan en controleer code of gestructureerde gegevens aan de hand van de projecteisen.

Selecteer via Ailoot deze exacte model-ID in /v1/chat/completions en geef de taak mee in messages. Elk bericht bevat een role en de bijbehorende content; houd de relevante instructie en het bronmateriaal bij elkaar. Verzamel de volledige JSON-response of alle SSE-segmenten wanneer stream is ingeschakeld en bewaar usage bij het geschreven resultaat.

Beschikbaar in Ailoot · invoer en methoden

Ailoot Ultra · OpenAI Chat POST /v1/chat/completions
Invoertypen
text, image
Uitvoertypen
text
Uitvoerformaat
JSON or SSE
VeldTypeVereisteWaarden en limietenStandaard
VeldmodelTypestringVereisteVereistWaarden en limieten
glm-4.5-flash
Voorwaarden: Gebruik exact deze Ailoot-routeringsselector.
Standaard—
VeldmessagesTypearrayVereisteVereistWaarden en limieten
Voorwaarden:
Standaard—
VeldstreamTypebooleanVereisteOptioneelWaarden en limieten
Voorwaarden:
Standaardfalse
Combinaties van invoermaterialen

text_input · Vereist: messages

image_with_text · Vereist: messages with actual image content blocks

Methodeparameters en levenscyclus
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractmodel, messages
ParameteroptionalContractstream
Parametermaterial_typesContracttext, image
ParameterconditionsContractGebruik exact deze Ailoot-routeringsselector., Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken.

Methodealiasnamen: /chat/completions

Levenscyclus: synchronous_or_streamed

Tarieven

Tariefverwijzingen voegen geen verzoekopties toe. Ondersteunde parameters staan bij de geselecteerde methode.

Snelle modus
Standaardtarief Wanneer de snelle modus is geselecteerd
Flexmodus
Standaardtarief Wanneer de modus flex is geselecteerd
Maximale redeneerinspanning
Standaardtarief Wanneer bij maximale redeneerinspanning de default-aanpassing wordt gebruikt
Tarieven voor expliciete caching
Niet ingeschakeld Wanneer expliciete caching wordt aangevraagd
Nultarieven voor uitsluitend tekst
Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden. Voor invoer en uitvoer met uitsluitend tekst

Ailoot-tarieven

Prijzen per configuratie

ConfiguratieTariefstaffelKosten
ConfiguratieBasistarieven voor tokensTariefstaffelBasistariefKosten
Invoer · Invoertokens $0 / 1K tokens
Uitvoer · Uitvoertokens $0 / 1K tokens
Invoer · Cache lezen $0 / 1K tokens
Invoer · Cache schrijven $0 / 1K tokens
Invoer · Cache schrijven, 1 uur — / 1K tokens

Ailoot reserveert vóór een verzoek een geschat bedrag. Na het resultaat worden de uiteindelijke kosten afgerekend op basis van het gemeten verbruik. Bij streaming gebeurt de afrekening op basis van de definitieve verbruiksregistratie. Zo werken reservering en afrekening →

Voorbeeldverzoeken

Ailoot Ultra · OpenAI Chat

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('{"model": "glm-4.5-flash", "messages": [{"role": "user", "content": "Explain how a rainbow forms."}]}')\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/chat/completions \\\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

Resultaten ophalen en opslaan

Ailoot Ultra · OpenAI Chat

JSON or SSE

Alle voltooide resultaten bewaren

Bewaar elk volledig teruggegeven antwoord, bestand en inhoudsonderdeel.

Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.

Als het oorspronkelijke antwoord moet worden gecontroleerd

Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.

Antwoordvelden
VeldType
Veldchoices[]Typeobject
VeldusageTypeobject
Fouten en vervolgstappen
AntwoordVoorwaardeVolgende stap
Antwoord400 · invalid_request_errorVoorwaardeEen verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.Volgende stapBekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.
AntwoordVoorwaardeHet oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.Volgende stapBewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.

Aliasnamen

Modelaliasnamen

Ailoot Ultra glm-4.5-flash

Aliasnamen voor methodepaden

/chat/completions

Gerelateerde aanroeper-ID’s

glm-4.5-flash

", "method_identity": { "effective_request_model_id": "glm-4.5-flash", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "glm-4.5-flash", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|glm-4.5-flash", "ordinal": 0, "rawMethod": { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "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": "Een verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.", "http_status": 400, "recovery": "Bekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.", "type": "invalid_request_error" }, { "condition": "Het oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.", "http_status": null, "recovery": "Bewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gebruik exact deze Ailoot-routeringsselector.", "default_known": false, "enum": [ "glm-4.5-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "request_schema": { "additionalProperties": true, "properties": { "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "glm-4.5-flash" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "glm-4.5-flash" }, "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": [ "Gebruik exact deze Ailoot-routeringsselector.", "Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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('{\"model\": \"glm-4.5-flash\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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/chat/completions \\\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" } ], "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [ "/chat/completions" ], "out": 0, "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Nultarieven voor uitsluitend tekst", "value": "Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden.", "when": "Voor invoer en uitvoer met uitsluitend tekst" } ], "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", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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" } ] } }, { "html": "
•

GLM-4.5-Flash

Overig /glm-4.5-flash

Aan de slag

GLM-4.5-Flash is het tekstmodel van Zhipu voor redeneren, codegeneratie, werk met lange documenten en taken met externe tools.

Toegestane invoer
Tekst · Afbeeldingen
Resultaten
json · sse
Over het model

Deze beschrijving gaat over de mogelijkheden van het model. De via Ailoot beschikbare invoer, uitvoer en opties staan hieronder voor de geselecteerde methode.

GLM-4.5-Flash is de Flash-editie uitsluitend voor tekst binnen de GLM-4.5-familie van Zhipu. De fabrikant beschrijft een contextvenster van 128K, gestructureerde uitvoer en een hybride opzet met redeneer- en directe antwoordmodi. Softwareontwikkeling, frontendprogrammering, toolgebruik en tekstwerk in meerdere gespreksbeurten zijn belangrijke toepassingen.

Bereid de taak en het bewijsmateriaal voor

Lever voor een softwarewijziging de relevante code, het waargenomen gedrag, de randvoorwaarden en de acceptatiecriteria aan. Label bij een taak met lange documenten de bronsecties en benoem de feiten die moeten worden geëxtraheerd of vergeleken. Geef de vereiste uitvoerstructuur op, zoals een patch, een JSON-object of een vertaalde passage.

Houd tools en antwoorden uit elkaar

De mogelijkheid van het model om tools aan te roepen ondersteunt applicaties die tooldefinities aanbieden en toolresultaten teruggeven. Een gegenereerd toolrequest vraagt de applicatie om die actie uit te voeren. Bewaar het teruggegeven bewijsmateriaal wanneer u het model laat doorgaan en controleer code of gestructureerde gegevens aan de hand van de projecteisen.

Selecteer via Ailoot deze exacte model-ID in /v1/chat/completions en geef de taak mee in messages. Elk bericht bevat een role en de bijbehorende content; houd de relevante instructie en het bronmateriaal bij elkaar. Verzamel de volledige JSON-response of alle SSE-segmenten wanneer stream is ingeschakeld en bewaar usage bij het geschreven resultaat.

Beschikbaar in Ailoot · invoer en methoden

Ailoot Ultra · Anthropic Messages POST /v1/messages
Invoertypen
text, image
Uitvoertypen
json, sse
Uitvoerformaat
JSON or SSE
VeldTypeVereisteWaarden en limietenStandaard
VeldmodelTypestringVereisteVereistWaarden en limieten
glm-4.5-flash
Voorwaarden: Gebruik exact deze Ailoot-routeringsselector.
Standaard—
VeldmessagesTypearrayVereisteVereistWaarden en limieten
Voorwaarden:
Standaard—
VeldstreamTypebooleanVereisteOptioneelWaarden en limieten
Voorwaarden:
Standaardfalse
Veldmax_tokensTypeintegerVereisteVereistWaarden en limieten
Minimum: 1
Voorwaarden:
Standaard—
Combinaties van invoermaterialen

text_input · Vereist: messages

image_with_text · Vereist: messages with actual image content blocks

Methodeparameters en levenscyclus
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractmodel, messages, max_tokens
ParameteroptionalContractstream
Parametermaterial_typesContracttext, image
ParameterconditionsContractGebruik exact deze Ailoot-routeringsselector., Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken.

Levenscyclus: synchronous_or_streamed

Tarieven

Tariefverwijzingen voegen geen verzoekopties toe. Ondersteunde parameters staan bij de geselecteerde methode.

Snelle modus
Standaardtarief Wanneer de snelle modus is geselecteerd
Flexmodus
Standaardtarief Wanneer de modus flex is geselecteerd
Maximale redeneerinspanning
Standaardtarief Wanneer bij maximale redeneerinspanning de default-aanpassing wordt gebruikt
Tarieven voor expliciete caching
Niet ingeschakeld Wanneer expliciete caching wordt aangevraagd
Nultarieven voor uitsluitend tekst
Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden. Voor invoer en uitvoer met uitsluitend tekst

Ailoot-tarieven

Prijzen per configuratie

ConfiguratieTariefstaffelKosten
ConfiguratieBasistarieven voor tokensTariefstaffelBasistariefKosten
Invoer · Invoertokens $0 / 1K tokens
Uitvoer · Uitvoertokens $0 / 1K tokens
Invoer · Cache lezen $0 / 1K tokens
Invoer · Cache schrijven $0 / 1K tokens
Invoer · Cache schrijven, 1 uur — / 1K tokens

Ailoot reserveert vóór een verzoek een geschat bedrag. Na het resultaat worden de uiteindelijke kosten afgerekend op basis van het gemeten verbruik. Bij streaming gebeurt de afrekening op basis van de definitieve verbruiksregistratie. Zo werken reservering en afrekening →

Voorbeeldverzoeken

Ailoot Ultra · Anthropic Messages

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('{"model": "glm-4.5-flash", "messages": [{"role": "user", "content": "Explain how a rainbow forms."}], "max_tokens": 256}')\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/messages \\\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

Resultaten ophalen en opslaan

Ailoot Ultra · Anthropic Messages

JSON or SSE

Alle voltooide resultaten bewaren

Bewaar elk volledig teruggegeven antwoord, bestand en inhoudsonderdeel.

Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.

Als het oorspronkelijke antwoord moet worden gecontroleerd

Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.

Antwoordvelden
VeldType
Veldcontent[]Typeobject
VeldusageTypeobject
Fouten en vervolgstappen
AntwoordVoorwaardeVolgende stap
Antwoord400 · invalid_request_errorVoorwaardeEen verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.Volgende stapBekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.
AntwoordVoorwaardeHet oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.Volgende stapBewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.

Aliasnamen

Modelaliasnamen

Ailoot Ultra glm-4.5-flash

Aliasnamen voor methodepaden

/chat/completions

Gerelateerde aanroeper-ID’s

glm-4.5-flash

", "method_identity": { "effective_request_model_id": "glm-4.5-flash", "fmt": "messages", "http": "POST", "path": "/v1/messages", "request_model_id": "glm-4.5-flash", "route_label": "Ultra" }, "method_key": "Ultra|messages|/v1/messages|glm-4.5-flash", "ordinal": 1, "rawMethod": { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "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": "Een verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.", "http_status": 400, "recovery": "Bekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.", "type": "invalid_request_error" }, { "condition": "Het oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.", "http_status": null, "recovery": "Bewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gebruik exact deze Ailoot-routeringsselector.", "default_known": false, "enum": [ "glm-4.5-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" }, { "conditions": "", "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" } ], "request_schema": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "glm-4.5-flash" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "max_tokens": 256, "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "glm-4.5-flash" }, "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": [ "Gebruik exact deze Ailoot-routeringsselector.", "Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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('{\"model\": \"glm-4.5-flash\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"max_tokens\": 256}')\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/messages \\\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" } ], "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "Anthropic Messages", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "json", "sse" ], "path": "/v1/messages", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Nultarieven voor uitsluitend tekst", "value": "Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden.", "when": "Voor invoer en uitvoer met uitsluitend tekst" } ], "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", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "nativeProvenance": { "input_facts_canonical_sha256": "44490280734a0e36270e171fc6e90f9cf04250018982e774fc3398224cbbcbd8", "input_html_sha256": "a400d8aaed90664f18510368ec0ad137223c5c52e23e0424b1e92fb6979236d5", "private_audit_sha256": "0cc431c095e354dec42b28ad790d57c769ffd8c45071956ee1c9d91098ec7011", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/nl/glm-4-5-flash/", "description": "GLM-4.5-Flash is het tekstmodel van Zhipu voor redeneren, codegeneratie, werk met lange documenten en taken met externe tools.", "locale": "nl", "md_url": "https://ailoot.ai/models/nl/glm-4-5-flash/index.md", "title": "GLM-4.5-Flash — Ailoot", "url": "https://ailoot.ai/models/nl/glm-4-5-flash/" }, "rawModel": { "about": "GLM-4.5-Flash is de Flash-editie uitsluitend voor tekst binnen de GLM-4.5-familie van Zhipu. De fabrikant beschrijft een contextvenster van 128K, gestructureerde uitvoer en een hybride opzet met redeneer- en directe antwoordmodi. Softwareontwikkeling, frontendprogrammering, toolgebruik en tekstwerk in meerdere gespreksbeurten zijn belangrijke toepassingen.\n\n### Bereid de taak en het bewijsmateriaal voor\n\nLever voor een softwarewijziging de relevante code, het waargenomen gedrag, de randvoorwaarden en de acceptatiecriteria aan. Label bij een taak met lange documenten de bronsecties en benoem de feiten die moeten worden geëxtraheerd of vergeleken. Geef de vereiste uitvoerstructuur op, zoals een patch, een JSON-object of een vertaalde passage.\n\n### Houd tools en antwoorden uit elkaar\n\nDe mogelijkheid van het model om tools aan te roepen ondersteunt applicaties die tooldefinities aanbieden en toolresultaten teruggeven. Een gegenereerd toolrequest vraagt de applicatie om die actie uit te voeren. Bewaar het teruggegeven bewijsmateriaal wanneer u het model laat doorgaan en controleer code of gestructureerde gegevens aan de hand van de projecteisen.\n\nSelecteer via Ailoot deze exacte model-ID in /v1/chat/completions en geef de taak mee in messages. Elk bericht bevat een role en de bijbehorende content; houd de relevante instructie en het bronmateriaal bij elkaar. Verzamel de volledige JSON-response of alle SSE-segmenten wanneer stream is ingeschakeld en bewaar usage bij het geschreven resultaat.", "alias_of": null, "aliases": [], "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "De volledige prijsinformatie voor de configuratie vindt u bij de details." } ], "ctx": null, "formats": [ "chat", "messages" ], "id": "glm-4.5-flash", "input": [ "text", "image" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "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": "Een verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.", "http_status": 400, "recovery": "Bekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.", "type": "invalid_request_error" }, { "condition": "Het oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.", "http_status": null, "recovery": "Bewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gebruik exact deze Ailoot-routeringsselector.", "default_known": false, "enum": [ "glm-4.5-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "request_schema": { "additionalProperties": true, "properties": { "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "glm-4.5-flash" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "glm-4.5-flash" }, "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": [ "Gebruik exact deze Ailoot-routeringsselector.", "Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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('{\"model\": \"glm-4.5-flash\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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/chat/completions \\\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" } ], "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [ "/chat/completions" ], "out": 0, "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Nultarieven voor uitsluitend tekst", "value": "Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden.", "when": "Voor invoer en uitvoer met uitsluitend tekst" } ], "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", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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" } ] }, { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "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": "Een verplicht veld, modelselector, type of invoerrepresentatie is ongeldig.", "http_status": 400, "recovery": "Bekijk de geretourneerde validatiedetails voordat u een afzonderlijk verzoek voorbereidt.", "type": "invalid_request_error" }, { "condition": "Het oorspronkelijke verzoek of resultaat is onbekend of moet worden gecontroleerd.", "http_status": null, "recovery": "Bewaar de oorspronkelijke identificatoren en headers; lees alleen ondersteunde statusgegevens of bibliotheekrecords. Dien het aanmaakverzoek niet opnieuw in.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Bewaar de oorspronkelijke X-Client-Request-ID, respons en headers. Een onbekende uitkomst of result_pending_check geeft geen toestemming voor een tweede aanmaakverzoek.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Bewaar elk inhoudsblok, elke toolaanroep-ID, de denksignatuur indien geretourneerd, alle SSE-delta's en de volledige gebruiksgegevens. Het eerste tekstfragment is niet het volledige resultaat.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gebruik exact deze Ailoot-routeringsselector.", "default_known": false, "enum": [ "glm-4.5-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" }, { "conditions": "", "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" } ], "request_schema": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "glm-4.5-flash" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "max_tokens": 256, "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "glm-4.5-flash" }, "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": [ "Gebruik exact deze Ailoot-routeringsselector.", "Dit protocol transporteert afbeeldingsinhoud wanneer het specifiek geselecteerde model beeldherkenning ondersteunt. Toelating door het protocol toont niet aan dat elk model afbeeldingen kan verwerken." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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('{\"model\": \"glm-4.5-flash\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"max_tokens\": 256}')\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/messages \\\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" } ], "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "Anthropic Messages", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "json", "sse" ], "path": "/v1/messages", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Nultarieven voor uitsluitend tekst", "value": "Voor cache, tools en media gelden de afzonderlijk vermelde prijsvoorwaarden.", "when": "Voor invoer en uitvoer met uitsluitend tekst" } ], "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", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0", "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": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "glm-4.5-flash", "request_model_id": "glm-4.5-flash", "route_label": "Ultra" } ], "name": "GLM-4.5-Flash", "price": { "in": 0, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0, "sort_out": 0, "varies": false }, "short": "GLM-4.5-Flash is het tekstmodel van Zhipu voor redeneren, codegeneratie, werk met lange documenten en taken met externe tools.", "title": "GLM-4.5-Flash" }, "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 }, { "contract_json_pointer": "/methods/1/rawMethod/contract", "html_json_pointer": "/methods/1/html", "method_ordinal": 1 } ], "role": "current-semantic-reference" }, "raw_input": { "examples_role": "historical-input-not-current-ready-examples", "json_pointers": [ "/rawModel", "/methods/0/rawMethod", "/methods/1/rawMethod" ], "role": "historical-owner-input" }, "schema": "ailoot-native-model-representations-v1" }, "schema": "ailoot-static-model-facts-v1", "schema_version": 1, "shortText": "GLM-4.5-Flash is het tekstmodel van Zhipu voor redeneren, codegeneratie, werk met lange documenten en taken met externe tools.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "9941604507dfb2a3c27248e9570389668ef92a2622e8b08cc983885c933e4d16", "renderer_sha256": "be7649af06bb0ae446191041c6cfb8a9b83a53896c8c6e9173e76a39d513e829" }, "sourceRevision": "ce4658d4e6784594006f500f337fcec3423094ec523f8131e03718a14b8cff31" }