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Tujuan model

GPT-6.1 Terra ialah model penaakulan OpenAI yang menekankan teks jelas dan semula jadi. Pengeluar turut mengembangkannya untuk analisis visual dan kerja dengan antara muka. Dalam Ailoot API, kad ini ditujukan kepada permintaan teks: berikan bahan sumber untuk memperoleh penjelasan, teks yang diolah semula atau jawapan mengikut struktur tertentu.

Teks, dokumen dan bahan kerja

Terra boleh digunakan dalam proses penyuntingan: menyediakan draf daripada isi utama, mengubah nada, memendekkan kandungan atau menggabungkan nota terpisah menjadi dokumen padu. Untuk hasil yang sesuai, tetapkan khalayak dan tujuan teks, senaraikan maklumat wajib serta ungkapan yang perlu dikekalkan. Bagi beberapa versi, minta perubahan parameter tertentu, contohnya tahap perincian atau penyampaian untuk pembaca berbeza.

Bagi kerja dokumen, berikan teks asal bersama soalan. Minta rumusan mengikut bahagian, perbandingan dua versi atau pengekstrakan maklumat ke dalam senarai medan yang diterangkan terlebih dahulu. Semasa membandingkan bahan, tetapkan kriteria: perkara yang dianggap padanan, perbezaan penting dan cara membentangkan hasil. Dengan itu model mendapat tugas jelas dan hasil lebih mudah dibandingkan dengan yang asal.

Format tersedia dalam Ailoot API

Input dan output ialah teks. Antara muka yang disokong merangkumi Messages, Responses, Chat Completions dan generateContent yang serasi dengan Gemini. Pilih format klien anda dan hantarkan arahan serta bahan sumber di dalamnya. Untuk tugas berkaitan dokumen atau imej, aliran teks ini memerlukan teks yang telah diekstrak atau penerangan teks.

Contoh aliran kerja

  1. Hantarkan nota, draf atau teks dokumen.
  2. Nyatakan tugas: menyunting, menjelaskan, membandingkan atau menyusun.
  3. Tetapkan khalayak, batasan dan struktur jawapan.
  4. Semak teks hasil dengan data asal dan jelaskan bahagian yang memerlukan perincian berbeza.

Aliran ini sesuai untuk arahan, rujukan dalaman, penerangan dan nota analisis yang memerlukan penyampaian jelas serta pengolahan bahan yang diberikan.

", "aboutText": "### Tujuan model\nGPT-6.1 Terra ialah model penaakulan OpenAI yang menekankan teks jelas dan semula jadi. Pengeluar turut mengembangkannya untuk analisis visual dan kerja dengan antara muka. Dalam Ailoot API, kad ini ditujukan kepada permintaan teks: berikan bahan sumber untuk memperoleh penjelasan, teks yang diolah semula atau jawapan mengikut struktur tertentu.\n\n### Teks, dokumen dan bahan kerja\nTerra boleh digunakan dalam proses penyuntingan: menyediakan draf daripada isi utama, mengubah nada, memendekkan kandungan atau menggabungkan nota terpisah menjadi dokumen padu. Untuk hasil yang sesuai, tetapkan khalayak dan tujuan teks, senaraikan maklumat wajib serta ungkapan yang perlu dikekalkan. Bagi beberapa versi, minta perubahan parameter tertentu, contohnya tahap perincian atau penyampaian untuk pembaca berbeza.\n\nBagi kerja dokumen, berikan teks asal bersama soalan. Minta rumusan mengikut bahagian, perbandingan dua versi atau pengekstrakan maklumat ke dalam senarai medan yang diterangkan terlebih dahulu. Semasa membandingkan bahan, tetapkan kriteria: perkara yang dianggap padanan, perbezaan penting dan cara membentangkan hasil. Dengan itu model mendapat tugas jelas dan hasil lebih mudah dibandingkan dengan yang asal.\n\n### Format tersedia dalam Ailoot API\nInput dan output ialah teks. Antara muka yang disokong merangkumi Messages, Responses, Chat Completions dan generateContent yang serasi dengan Gemini. Pilih format klien anda dan hantarkan arahan serta bahan sumber di dalamnya. Untuk tugas berkaitan dokumen atau imej, aliran teks ini memerlukan teks yang telah diekstrak atau penerangan teks.\n\n### Contoh aliran kerja\n1. Hantarkan nota, draf atau teks dokumen.\n2. Nyatakan tugas: menyunting, menjelaskan, membandingkan atau menyusun.\n3. Tetapkan khalayak, batasan dan struktur jawapan.\n4. Semak teks hasil dengan data asal dan jelaskan bahagian yang memerlukan perincian berbeza.\n\nAliran ini sesuai untuk arahan, rujukan dalaman, penerangan dan nota analisis yang memerlukan penyampaian jelas serta pengolahan bahan yang diberikan.", "locale": "ms", "methods": [ { "html": "
Core Anthropic MessagesPOST /v1/messages
Input
text
Output
text
Konteks
272,000 token
Respons maksimum
128,000 token
Input
USD 0.001 / 1K
Output
USD 0.005 / 1K
Bacaan cache
USD 0.00005 / 1K
Penulisan cache
USD 0.00125 / 1K
Penulisan cache, 5 minit
USD 0.00125 / 1K tokens
Pengganda fast
×2
Pengganda flex
×0.5
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Core OpenAI ResponsesPOST /v1/responses
Input
text
Output
text
Konteks
272,000 token
Respons maksimum
128,000 token
Input
USD 0.001 / 1K
Output
USD 0.005 / 1K
Bacaan cache
USD 0.00005 / 1K
Penulisan cache
USD 0.00125 / 1K
Penulisan cache, 5 minit
USD 0.00125 / 1K tokens
Pengganda fast
×2
Pengganda flex
×0.5
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Core OpenAI ChatPOST /v1/chat/completions
Input
text
Output
text
Konteks
272,000 token
Respons maksimum
128,000 token
Input
USD 0.001 / 1K
Output
USD 0.005 / 1K
Bacaan cache
USD 0.00005 / 1K
Penulisan cache
USD 0.00125 / 1K
Penulisan cache, 5 minit
USD 0.00125 / 1K tokens
Pengganda fast
×2
Pengganda flex
×0.5
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Core Gemini generateContentPOST /v1beta/models/{model}:generateContent
Input
text
Output
text
Konteks
272,000 token
Respons maksimum
128,000 token
Input
USD 0.001 / 1K
Output
USD 0.005 / 1K
Bacaan cache
USD 0.00005 / 1K
Penulisan cache
USD 0.00125 / 1K
Penulisan cache, 5 minit
USD 0.00125 / 1K tokens
Pengganda fast
×2
Pengganda flex
×0.5
", "method_identity": { "effective_request_model_id": "gpt-6.1-terra", "fmt": "gemini", "http": "POST", "path": "/v1beta/models/{model}:generateContent", "request_model_id": "gpt-6.1-terra", "route_label": "Core" }, "method_key": "Core|gemini|/v1beta/models/{model}:generateContent|gpt-6.1-terra", "ordinal": 3, "rawMethod": { "cache_read": 0.05, "cache_write": 1.25, "cache_write_1h": null, "cache_write_5m": 1.25, "conditional_meter": null, "ctx": 272000, "family": "gemini", "fast_multiplier": 2, "flex_multiplier": 0.5, "fmt": "gemini", "http": "POST", "img_in": null, "img_out": null, "in": 1.0, "input": [ "text" ], "label": "Gemini generateContent", "max_out": 128000, "max_tool_calls": null, "out": 5.0, "output": [ "text" ], "path": "/v1beta/models/{model}:generateContent", "request_model_id": "gpt-6.1-terra", "route_label": "Core", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
Ultra OpenAI ChatPOST /v1/chat/completions
Input
text
Output
text
Konteks
922,000 token
Respons maksimum
128,000 token
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens

Harga mengikut panjang permintaan · OpenAI Chat

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "gpt-6.1-terra", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|gpt-6.1-terra", "ordinal": 4, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": 922000, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "OpenAI Chat", "max_out": 128000, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1/chat/completions", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
Ultra OpenAI ResponsesPOST /v1/responses
Input
text
Output
text
Konteks
922,000 token
Respons maksimum
128,000 token
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens

Harga mengikut panjang permintaan · OpenAI Responses

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "gpt-6.1-terra", "fmt": "responses", "http": "POST", "path": "/v1/responses", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|responses|/v1/responses|gpt-6.1-terra", "ordinal": 5, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": 922000, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "responses", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "OpenAI Responses", "max_out": 128000, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1/responses", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
Ultra Gemini generateContentPOST /v1beta/models/gpt-6.1-terra:generateContent
Input
text
Output
text
Konteks
922,000 token
Respons maksimum
128,000 token
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens

Harga mengikut panjang permintaan · Gemini generateContent

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "gpt-6.1-terra", "fmt": "gemini", "http": "POST", "path": "/v1beta/models/gpt-6.1-terra:generateContent", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|gemini|/v1beta/models/gpt-6.1-terra:generateContent|gpt-6.1-terra", "ordinal": 6, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": 922000, "family": "gemini", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "gemini", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "Gemini generateContent", "max_out": 128000, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1beta/models/gpt-6.1-terra:generateContent", "request_model_id": "gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
Ultra Anthropic MessagesPOST /v1/messages
Input
text
Output
text
Konteks
Tidak dinyatakan dalam katalog
Respons maksimum
Tidak dinyatakan dalam katalog
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens
web_search_call
USD 0.02 bagi setiap panggilan

Harga mengikut panjang permintaan · Anthropic Messages

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "openai/gpt-6.1-terra", "fmt": "messages", "http": "POST", "path": "/v1/messages", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|messages|/v1/messages|openai%2Fgpt-6.1-terra", "ordinal": 7, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": null, "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "Anthropic Messages", "max_out": null, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1/messages", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": { "web_search_call": 0.02 }, "unit": "token", "units": [] } }, { "html": "
Ultra OpenAI ResponsesPOST /v1/responses
Input
text
Output
text
Konteks
Tidak dinyatakan dalam katalog
Respons maksimum
Tidak dinyatakan dalam katalog
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens
web_search_call
USD 0.02 bagi setiap panggilan

Harga mengikut panjang permintaan · OpenAI Responses

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "openai/gpt-6.1-terra", "fmt": "responses", "http": "POST", "path": "/v1/responses", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|responses|/v1/responses|openai%2Fgpt-6.1-terra", "ordinal": 8, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "responses", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "OpenAI Responses", "max_out": null, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1/responses", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": { "web_search_call": 0.02 }, "unit": "token", "units": [] } }, { "html": "
Ultra OpenAI ChatPOST /v1/chat/completions
Input
text
Output
text
Konteks
Tidak dinyatakan dalam katalog
Respons maksimum
Tidak dinyatakan dalam katalog
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens
web_search_call
USD 0.02 bagi setiap panggilan

Harga mengikut panjang permintaan · OpenAI Chat

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "openai/gpt-6.1-terra", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|openai%2Fgpt-6.1-terra", "ordinal": 9, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "OpenAI Chat", "max_out": null, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1/chat/completions", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": { "web_search_call": 0.02 }, "unit": "token", "units": [] } }, { "html": "
Ultra Gemini generateContentPOST /v1beta/models/openai/gpt-6.1-terra:generateContent
Input
text
Output
text
Konteks
Tidak dinyatakan dalam katalog
Respons maksimum
Tidak dinyatakan dalam katalog
Input
USD 0.002 / 1K
Output
USD 0.01 / 1K
Bacaan cache
USD 0.0001 / 1K
Penulisan cache
USD 0.0025 / 1K
Penulisan cache, 5 minit
USD 0.0025 / 1K tokens
Penulisan cache, 1 jam
USD 0.0025 / 1K tokens
web_search_call
USD 0.02 bagi setiap panggilan

Harga mengikut panjang permintaan · Gemini generateContent

Saiz permintaan, tokenInputOutputBacaan cachePenulisan cacheCache 5 minitCache 1 jam
Saiz permintaan, token(0; 272,000]InputUSD 0.002OutputUSD 0.01Bacaan cacheUSD 0.0001Penulisan cacheUSD 0.0025Cache 5 minitUSD 0.0025Cache 1 jamUSD 0.0025
Saiz permintaan, token(272,000; ∞)InputUSD 0.004OutputUSD 0.015Bacaan cacheUSD 0.0002Penulisan cacheUSD 0.005Cache 5 minitUSD 0.005Cache 1 jamUSD 0.005

Kadar dalam USD setiap 1K token. Jika tiada kadar ditetapkan, kadar asas kaedah ini diwarisi; «—» bermaksud tiada kadar asas ditetapkan.

", "method_identity": { "effective_request_model_id": "openai/gpt-6.1-terra", "fmt": "gemini", "http": "POST", "path": "/v1beta/models/openai/gpt-6.1-terra:generateContent", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra" }, "method_key": "Ultra|gemini|/v1beta/models/openai/gpt-6.1-terra:generateContent|openai%2Fgpt-6.1-terra", "ordinal": 10, "rawMethod": { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, "ctx": null, "family": "gemini", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "gemini", "http": "POST", "img_in": null, "img_out": null, "in": 2.0, "input": [ "text" ], "label": "Gemini generateContent", "max_out": null, "max_tool_calls": null, "out": 10.0, "output": [ "text" ], "path": "/v1beta/models/openai/gpt-6.1-terra:generateContent", "request_model_id": "openai/gpt-6.1-terra", "route_label": "Ultra", "status_reads": [], "tiers": [ { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "in": 2.0, "interval_boundary": "min_exclusive_max_inclusive", "label": "<=272K", "max": 272000, "min": 0, "null_rate_policy": "inherit_base_rate", "out": 10.0 }, { "cache_read": 0.2, "cache_write": 5.0, "cache_write_1h": 5.0, "cache_write_5m": 5.0, "in": 4.0, "interval_boundary": "min_exclusive_max_inclusive", "label": ">272K", "max": null, "min": 272000, "null_rate_policy": "inherit_base_rate", "out": 15.0 } ], "tool_prices": { "web_search_call": 0.02 }, "unit": "token", "units": [] } } ], "model_id": "openai/gpt-6.1-terra", "page": { "canonical": "https://ailoot.ai/models/ms/openai-gpt-6-1-terra/", "description": "GPT-6.1 Terra untuk penulisan dan penyuntingan teks jelas, penelitian dokumen serta penyusunan bahan dalam konteks besar.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/openai-gpt-6-1-terra/index.md", "title": "OpenAI: GPT-6.1 Terra", "url": "https://ailoot.ai/models/ms/openai-gpt-6-1-terra/" }, "rawModel": { "about": "### Tujuan model\nGPT-6.1 Terra ialah model penaakulan OpenAI yang menekankan teks jelas dan semula jadi. Pengeluar turut mengembangkannya untuk analisis visual dan kerja dengan antara muka. Dalam Ailoot API, kad ini ditujukan kepada permintaan teks: berikan bahan sumber untuk memperoleh penjelasan, teks yang diolah semula atau jawapan mengikut struktur tertentu.\n\n### Teks, dokumen dan bahan kerja\nTerra boleh digunakan dalam proses penyuntingan: menyediakan draf daripada isi utama, mengubah nada, memendekkan kandungan atau menggabungkan nota terpisah menjadi dokumen padu. Untuk hasil yang sesuai, tetapkan khalayak dan tujuan teks, senaraikan maklumat wajib serta ungkapan yang perlu dikekalkan. Bagi beberapa versi, minta perubahan parameter tertentu, contohnya tahap perincian atau penyampaian untuk pembaca berbeza.\n\nBagi kerja dokumen, berikan teks asal bersama soalan. Minta rumusan mengikut bahagian, perbandingan dua versi atau pengekstrakan maklumat ke dalam senarai medan yang diterangkan terlebih dahulu. Semasa membandingkan bahan, tetapkan kriteria: perkara yang dianggap padanan, perbezaan penting dan cara membentangkan hasil. Dengan itu model mendapat tugas jelas dan hasil lebih mudah dibandingkan dengan yang asal.\n\n### Format tersedia dalam Ailoot API\nInput dan output ialah teks. Antara muka yang disokong merangkumi Messages, Responses, Chat Completions dan generateContent yang serasi dengan Gemini. Pilih format klien anda dan hantarkan arahan serta bahan sumber di dalamnya. Untuk tugas berkaitan dokumen atau imej, aliran teks ini memerlukan teks yang telah diekstrak atau penerangan teks.\n\n### Contoh aliran kerja\n1. Hantarkan nota, draf atau teks dokumen.\n2. Nyatakan tugas: menyunting, menjelaskan, membandingkan atau menyusun.\n3. Tetapkan khalayak, batasan dan struktur jawapan.\n4. Semak teks hasil dengan data asal dan jelaskan bahagian yang memerlukan perincian berbeza.\n\nAliran ini sesuai untuk arahan, rujukan dalaman, penerangan dan nota analisis yang memerlukan penyampaian jelas serta pengolahan bahan yang diberikan.", "alias_of": null, "aliases": [ "gpt-6.1-terra" ], "author": "OpenAI", "canonical_model": "openai/gpt-6.1-terra", "ctx": 922000, "formats": [ "chat", "gemini", "messages", "responses" ], "id": "openai/gpt-6.1-terra", "input": [ "text" ], "kind": "text", "max_out": 128000, "methods": [ { "cache_read": 0.05, "cache_write": 1.25, "cache_write_1h": null, "cache_write_5m": 1.25, "conditional_meter": null, "ctx": 272000, "family": "anthropic", "fast_multiplier": 2, "flex_multiplier": 0.5, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 1.0, "input": [ "text" ], "label": "Anthropic Messages", "max_out": 128000, "max_tool_calls": null, "out": 5.0, "output": [ "text" ], "path": "/v1/messages", "request_model_id": "gpt-6.1-terra", "route_label": "Core", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.05, "cache_write": 1.25, "cache_write_1h": null, "cache_write_5m": 1.25, "conditional_meter": null, "ctx": 272000, "family": "openai", "fast_multiplier": 2, "flex_multiplier": 0.5, "fmt": "responses", "http": "POST", "img_in": null, "img_out": null, "in": 1.0, "input": [ "text" ], "label": "OpenAI Responses", "max_out": 128000, "max_tool_calls": null, "out": 5.0, "output": [ "text" ], "path": "/v1/responses", "request_model_id": "gpt-6.1-terra", "route_label": "Core", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.05, "cache_write": 1.25, "cache_write_1h": null, "cache_write_5m": 1.25, "conditional_meter": null, "ctx": 272000, "family": "openai", "fast_multiplier": 2, "flex_multiplier": 0.5, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": 1.0, "input": [ "text" ], "label": "OpenAI Chat", "max_out": 128000, "max_tool_calls": null, "out": 5.0, "output": [ "text" ], "path": "/v1/chat/completions", "request_model_id": "gpt-6.1-terra", "route_label": "Core", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.05, "cache_write": 1.25, "cache_write_1h": null, "cache_write_5m": 1.25, "conditional_meter": null, "ctx": 272000, "family": "gemini", "fast_multiplier": 2, "flex_multiplier": 0.5, "fmt": "gemini", "http": "POST", "img_in": null, "img_out": null, "in": 1.0, "input": [ "text" ], "label": "Gemini generateContent", "max_out": 128000, "max_tool_calls": null, "out": 5.0, "output": [ "text" ], "path": "/v1beta/models/{model}:generateContent", "request_model_id": "gpt-6.1-terra", "route_label": "Core", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.1, "cache_write": 2.5, "cache_write_1h": 2.5, "cache_write_5m": 2.5, "conditional_meter": null, 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