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  "aboutHtml": "<h3>Modellens formål</h3><p>GPT-6.1 Terra er en resonneringsmodell fra OpenAI med vekt på tydelig, naturlig tekst. Produsenten utvikler den også for visuell analyse og arbeid med grensesnitt. I Ailoot API er dette modellkortet beregnet på tekstforespørsler: Send inn kildematerialet og få en forklaring, en omarbeidet tekst eller et svar med en bestemt struktur.</p><h3>Tekster, dokumenter og arbeidsmateriale</h3><p>Terra kan brukes i en redaksjonell prosess: lage et utkast fra hovedpunkter, endre tone, forkorte teksten eller samle spredte notater til et sammenhengende dokument. For å få et passende resultat angir du målgruppe og tekstformål, lister obligatoriske opplysninger og markerer formuleringer som må beholdes. For flere versjoner ber du om å endre én bestemt egenskap, for eksempel detaljnivå eller fremstilling for ulike lesere.</p><p>Ved dokumentarbeid er det nyttig å sende originalteksten sammen med spørsmålet. Be om en oppsummering per del, sammenligning av to versjoner eller uttrekk av opplysninger i en feltliste du har beskrevet på forhånd. Ved sammenligning angir du kriteriene: hva som regnes som samsvar, hvilke forskjeller som er viktige, og hvordan resultatet skal presenteres. Da får modellen en tydelig oppgave, og resultatet blir enklere å kontrollere mot originalen.</p><h3>Tilgjengelig format i Ailoot API</h3><p>Inndata er tekst, og utdata er tekst. Modellkortets støttede grensesnitt omfatter Messages, Responses, Chat Completions og Gemini-kompatibel generateContent. Velg formatet klienten bruker, og send instruksjonen og kildematerialet i dette. Hvis oppgaven gjelder et dokument eller et bilde, krever denne tekstbaserte arbeidsmåten tekst som er hentet ut på forhånd, eller en tekstlig beskrivelse.</p><h3>Eksempel på arbeidsløp</h3><ol><li>Send inn notater, et utkast eller dokumentteksten.</li><li>Formuler oppgaven: redigere, forklare, sammenligne eller strukturere.</li><li>Angi målgruppe, begrensninger og svarstruktur.</li><li>Kontroller teksten mot grunndataene og presiser steder som trenger et annet detaljnivå.</li></ol><p>Dette arbeidsløpet passer til veiledninger, interne informasjonstekster, beskrivelser og analysenotater der tydelig fremstilling og bruk av innsendt materiale er viktig.</p>",
  "aboutText": "### Modellens formål\nGPT-6.1 Terra er en resonneringsmodell fra OpenAI med vekt på tydelig, naturlig tekst. Produsenten utvikler den også for visuell analyse og arbeid med grensesnitt. I Ailoot API er dette modellkortet beregnet på tekstforespørsler: Send inn kildematerialet og få en forklaring, en omarbeidet tekst eller et svar med en bestemt struktur.\n\n### Tekster, dokumenter og arbeidsmateriale\nTerra kan brukes i en redaksjonell prosess: lage et utkast fra hovedpunkter, endre tone, forkorte teksten eller samle spredte notater til et sammenhengende dokument. For å få et passende resultat angir du målgruppe og tekstformål, lister obligatoriske opplysninger og markerer formuleringer som må beholdes. For flere versjoner ber du om å endre én bestemt egenskap, for eksempel detaljnivå eller fremstilling for ulike lesere.\n\nVed dokumentarbeid er det nyttig å sende originalteksten sammen med spørsmålet. Be om en oppsummering per del, sammenligning av to versjoner eller uttrekk av opplysninger i en feltliste du har beskrevet på forhånd. Ved sammenligning angir du kriteriene: hva som regnes som samsvar, hvilke forskjeller som er viktige, og hvordan resultatet skal presenteres. Da får modellen en tydelig oppgave, og resultatet blir enklere å kontrollere mot originalen.\n\n### Tilgjengelig format i Ailoot API\nInndata er tekst, og utdata er tekst. Modellkortets støttede grensesnitt omfatter Messages, Responses, Chat Completions og Gemini-kompatibel generateContent. Velg formatet klienten bruker, og send instruksjonen og kildematerialet i dette. Hvis oppgaven gjelder et dokument eller et bilde, krever denne tekstbaserte arbeidsmåten tekst som er hentet ut på forhånd, eller en tekstlig beskrivelse.\n\n### Eksempel på arbeidsløp\n1. Send inn notater, et utkast eller dokumentteksten.\n2. Formuler oppgaven: redigere, forklare, sammenligne eller strukturere.\n3. Angi målgruppe, begrensninger og svarstruktur.\n4. Kontroller teksten mot grunndataene og presiser steder som trenger et annet detaljnivå.\n\nDette arbeidsløpet passer til veiledninger, interne informasjonstekster, beskrivelser og analysenotater der tydelig fremstilling og bruk av innsendt materiale er viktig.",
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      "html": "<section class=\"meth\" data-route=\"Ultra\"><header><b><span class=\"alias\">Ultra</span> Gemini generateContent</b><code>POST /v1beta/models/gpt-6.1-terra:generateContent</code></header><dl class=\"method-capabilities\" data-model-capabilities><div><dt>Inndatatyper</dt><dd><code>text</code></dd></div><div><dt>Utdatatyper</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>922 000 <em>tokener</em></dd></div><div><dt>Maks. svar</dt><dd>128 000 <em>tokener</em></dd></div></dl><dl><div><dt>Inndata</dt><dd>0,002 USD <em>/ 1K</em></dd></div><div><dt>Utdata</dt><dd>0,01 USD <em>/ 1K</em></dd></div><div><dt>Lesing fra hurtigbuffer</dt><dd>0,0001 USD <em>/ 1K</em></dd></div><div><dt>Skriving til hurtigbuffer</dt><dd>0,0025 USD <em>/ 1K</em></dd></div><div><dt>Skriving til hurtigbuffer, 5 min</dt><dd>0,0025 USD <em>/ 1K tokens</em></dd></div><div><dt>Skriving til hurtigbuffer, 1 time</dt><dd>0,0025 USD <em>/ 1K tokens</em></dd></div></dl><h4>Priser etter forespørselslengde · Gemini generateContent</h4><div class=\"tw\" data-card-table=\"tiers\"><table><thead><tr><th>Forespørselsstørrelse, tokener</th><th class=\"num\">Inndata</th><th class=\"num\">Utdata</th><th class=\"num\">Lesing fra hurtigbuffer</th><th class=\"num\">Skriving til hurtigbuffer</th><th class=\"num\">Hurtigbuffer 5 min</th><th class=\"num\">Hurtigbuffer 1 time</th></tr></thead><tbody><tr><td data-cell-label=\"Forespørselsstørrelse, tokener\"><span class=\"card-cell-label\">Forespørselsstørrelse, tokener</span><span class=\"card-tier-interval\">(0; 272 000]</span></td><td data-cell-label=\"Inndata\" class=\"num\"><span class=\"card-cell-label\">Inndata</span>0,002 USD</td><td data-cell-label=\"Utdata\" class=\"num\"><span class=\"card-cell-label\">Utdata</span>0,01 USD</td><td data-cell-label=\"Lesing fra hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Lesing fra hurtigbuffer</span>0,0001 USD</td><td data-cell-label=\"Skriving til hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Skriving til hurtigbuffer</span>0,0025 USD</td><td data-cell-label=\"Hurtigbuffer 5 min\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 5 min</span>0,0025 USD</td><td data-cell-label=\"Hurtigbuffer 1 time\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 1 time</span>0,0025 USD</td></tr><tr><td data-cell-label=\"Forespørselsstørrelse, tokener\"><span class=\"card-cell-label\">Forespørselsstørrelse, tokener</span><span class=\"card-tier-interval\">(272 000; ∞)</span></td><td data-cell-label=\"Inndata\" class=\"num\"><span class=\"card-cell-label\">Inndata</span>0,004 USD</td><td data-cell-label=\"Utdata\" class=\"num\"><span class=\"card-cell-label\">Utdata</span>0,015 USD</td><td data-cell-label=\"Lesing fra hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Lesing fra hurtigbuffer</span>0,0002 USD</td><td data-cell-label=\"Skriving til hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Skriving til hurtigbuffer</span>0,005 USD</td><td data-cell-label=\"Hurtigbuffer 5 min\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 5 min</span>0,005 USD</td><td data-cell-label=\"Hurtigbuffer 1 time\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 1 time</span>0,005 USD</td></tr></tbody></table></div><p class=\"note-s\">Satser i USD per 1K tokener. Hvis ingen sats er angitt, arves grunnsatsen for denne metoden; «—» betyr at ingen grunnsats er angitt.</p></section>",
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      "html": "<section class=\"meth\" data-route=\"Ultra\"><header><b><span class=\"alias\">Ultra</span> Anthropic Messages</b><code>POST /v1/messages</code></header><dl class=\"method-capabilities\" data-model-capabilities><div><dt>Inndatatyper</dt><dd><code>text</code></dd></div><div><dt>Utdatatyper</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>Ikke angitt i katalogen</dd></div><div><dt>Maks. svar</dt><dd>Ikke angitt i katalogen</dd></div></dl><dl><div><dt>Inndata</dt><dd>0,002 USD <em>/ 1K</em></dd></div><div><dt>Utdata</dt><dd>0,01 USD <em>/ 1K</em></dd></div><div><dt>Lesing fra hurtigbuffer</dt><dd>0,0001 USD <em>/ 1K</em></dd></div><div><dt>Skriving til hurtigbuffer</dt><dd>0,0025 USD <em>/ 1K</em></dd></div><div><dt>Skriving til hurtigbuffer, 5 min</dt><dd>0,0025 USD <em>/ 1K tokens</em></dd></div><div><dt>Skriving til hurtigbuffer, 1 time</dt><dd>0,0025 USD <em>/ 1K tokens</em></dd></div><div><dt>web_search_call</dt><dd>0,02 USD <em>per kall</em></dd></div></dl><h4>Priser etter forespørselslengde · Anthropic Messages</h4><div class=\"tw\" data-card-table=\"tiers\"><table><thead><tr><th>Forespørselsstørrelse, tokener</th><th class=\"num\">Inndata</th><th class=\"num\">Utdata</th><th class=\"num\">Lesing fra hurtigbuffer</th><th class=\"num\">Skriving til hurtigbuffer</th><th class=\"num\">Hurtigbuffer 5 min</th><th class=\"num\">Hurtigbuffer 1 time</th></tr></thead><tbody><tr><td data-cell-label=\"Forespørselsstørrelse, tokener\"><span class=\"card-cell-label\">Forespørselsstørrelse, tokener</span><span class=\"card-tier-interval\">(0; 272 000]</span></td><td data-cell-label=\"Inndata\" class=\"num\"><span class=\"card-cell-label\">Inndata</span>0,002 USD</td><td data-cell-label=\"Utdata\" class=\"num\"><span class=\"card-cell-label\">Utdata</span>0,01 USD</td><td data-cell-label=\"Lesing fra hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Lesing fra hurtigbuffer</span>0,0001 USD</td><td data-cell-label=\"Skriving til hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Skriving til hurtigbuffer</span>0,0025 USD</td><td data-cell-label=\"Hurtigbuffer 5 min\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 5 min</span>0,0025 USD</td><td data-cell-label=\"Hurtigbuffer 1 time\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 1 time</span>0,0025 USD</td></tr><tr><td data-cell-label=\"Forespørselsstørrelse, tokener\"><span class=\"card-cell-label\">Forespørselsstørrelse, tokener</span><span class=\"card-tier-interval\">(272 000; ∞)</span></td><td data-cell-label=\"Inndata\" class=\"num\"><span class=\"card-cell-label\">Inndata</span>0,004 USD</td><td data-cell-label=\"Utdata\" class=\"num\"><span class=\"card-cell-label\">Utdata</span>0,015 USD</td><td data-cell-label=\"Lesing fra hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Lesing fra hurtigbuffer</span>0,0002 USD</td><td data-cell-label=\"Skriving til hurtigbuffer\" class=\"num\"><span class=\"card-cell-label\">Skriving til hurtigbuffer</span>0,005 USD</td><td data-cell-label=\"Hurtigbuffer 5 min\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 5 min</span>0,005 USD</td><td data-cell-label=\"Hurtigbuffer 1 time\" class=\"num\"><span class=\"card-cell-label\">Hurtigbuffer 1 time</span>0,005 USD</td></tr></tbody></table></div><p class=\"note-s\">Satser i USD per 1K tokener. Hvis ingen sats er angitt, arves grunnsatsen for denne metoden; «—» betyr at ingen grunnsats er angitt.</p></section>",
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