Zum Inhalt springen
Alpha
  • Modelle
  • Ranglisten
  • Ori
Vertrieb kontaktieren

Fußzeile

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Produkt

  • Chat
  • Ranglisten
  • Leistungsvergleiche
  • Apps
  • Entdecken
  • Modelle
  • Ori
  • Sammlungen
  • Anbieter
  • Tools
  • Preise
  • Business
  • Enterprise
  • Labs

Unternehmen

  • Über
  • Blog
  • Kunden
  • Karriere
    Offene Stellen
  • Datenschutz
  • Nutzungsbedingungen
  • Vertrauenszentrum
  • Support
  • Funktioniert mit OR
  • Daten
  • Marke

Entwickler

  • Dokumentation
  • API-Referenz
  • Entwicklerplattform
  • Status
  • KI-Sitemap

Verbinden

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon für openai

OpenAI: GPT-5.5

openai/gpt-5.5

Vergleich

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Modalitäten
Eingabe- / Ausgabepreis
5 $ / 30 $pro 1 Mio.
Kontext
1,1M
Veröffentlicht
24. Apr. 2026
Wissensstand
Dez. 2025
Vergleich
AnbieterPreiseLeistungVerfügbarkeitLeistungsvergleicheAppsAktivitätDokumentationFAQEntdecken

Anbieter

Verschiedene Unternehmen hosten dasselbe Modell. OpenRouter leitet Ihre Anfrage je nach gewähltem Routing-Modus an eines davon weiter — Balanced (Preis + Geschwindigkeit), Nitro (am schnellsten) oder Floor (am günstigsten).

Preise

Der durchschnittliche Preis, den Kunden tatsächlich für dieses Modell zahlen, neben den von Anbietern veröffentlichten Preisen. Durch Caching und Rabatte liegt der tatsächlich gezahlte Preis oft deutlich unter dem Listenpreis.

Leistung

Der Durchsatz gibt an, wie schnell das Modell schreibt (Token pro Sekunde – höher ist besser). Die Latenz ist die gesamte Umlaufzeit (niedriger ist besser). TTFT ist die Zeit bis zum ersten Token – also die Wartezeit, bis etwas angezeigt wird (niedriger ist besser).

Verfügbarkeit

Verfügbarkeit ist der prozentuale Anteil der letzten 3 Tage, in dem mindestens ein Anbieter auf Anfragen reagiert hat. Die Verfügbarkeit der Inferenz ist der prozentuale Anteil der Zeit, in der Inferenz erfolgreich bereitgestellt wurde. OpenRouter überwacht dies kontinuierlich und verwendet den nächstbesten Anbieter, wenn ein Anbieter einen Fehler zurückgibt.

Leistungsvergleiche

Ergebnisse standardisierter Bewertungen und eigene Ausgaben dieses Modells zu gemeinsamen Vergleichstest-Prompts. Höhere Prozentwerte sind besser – und jeder Rang zeigt, wo dieses Modell unter den anhand dieser Quelle bewerteten Modellen liegt.

Zusammenfassung der Benchmark-Ergebnisse für OpenAI: GPT-5.5 (Artificial Analysis, Design Arena und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisGPT-5.5 (High) Coding Index71,6
Artificial AnalysisGPT-5.5 (High) Agentic Index34,3
Artificial AnalysisGPT-5.5 (High) GPQA Diamond93.2%
Artificial AnalysisGPT-5.5 (High) HLE45.0%
Artificial AnalysisGPT-5.5 (High) IFBench71.6%
Artificial AnalysisGPT-5.5 (High) τ²-Bench Telecom93.0%
Artificial AnalysisGPT-5.5 (High) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (High) τ-Bench Banking36.7%
Artificial AnalysisGPT-5.5 (High) GDPval-AA41.8%
Artificial AnalysisGPT-5.5 (High) CritPt25.4%
Artificial AnalysisGPT-5.5 (High) SciCode56.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench Hard59.8%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 2.179.4%
Artificial AnalysisGPT-5.5 (Low) Coding Index60,9
Artificial AnalysisGPT-5.5 (Low) GPQA Diamond91.0%
Artificial AnalysisGPT-5.5 (Low) HLE32.7%
Artificial AnalysisGPT-5.5 (Low) IFBench64.4%
Artificial AnalysisGPT-5.5 (Low) τ²-Bench Telecom83.9%
Artificial AnalysisGPT-5.5 (Low) AA-LCR81.0%
Artificial AnalysisGPT-5.5 (Low) τ-Bench Banking24.9%
Artificial AnalysisGPT-5.5 (Low) GDPval-AA27.7%
Artificial AnalysisGPT-5.5 (Low) CritPt8.0%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench 2.165.5%
Artificial AnalysisGPT-5.5 (Xhigh) Coding Index74,9
Artificial AnalysisGPT-5.5 (Xhigh) Agentic Index36,4
Artificial AnalysisGPT-5.5 (Xhigh) GPQA Diamond93.5%
Artificial AnalysisGPT-5.5 (Xhigh) HLE45.8%
Artificial AnalysisGPT-5.5 (Xhigh) IFBench75.9%
Artificial AnalysisGPT-5.5 (Xhigh) τ²-Bench Telecom93.9%
Artificial AnalysisGPT-5.5 (Xhigh) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (Xhigh) τ-Bench Banking39.0%
Artificial AnalysisGPT-5.5 (Xhigh) GDPval-AA43.0%
Artificial AnalysisGPT-5.5 (Xhigh) CritPt27.1%
Artificial AnalysisGPT-5.5 (Xhigh) SciCode55.8%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench Hard60.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 4.014.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 2.184.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) Coding Index56,5
Artificial AnalysisGPT-5.5 (Non-reasoning) GPQA Diamond76.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) HLE13.7%
Artificial AnalysisGPT-5.5 (Non-reasoning) IFBench46.1%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ²-Bench Telecom69.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ-Bench Banking14.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) GDPval-AA23.9%
Artificial AnalysisGPT-5.5 (Non-reasoning) CritPt1.4%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench Hard49.2%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench 2.161.0%
Artificial AnalysisGPT-5.5 (Medium) Coding Index71,5
Artificial AnalysisGPT-5.5 (Medium) Agentic Index29,5
Artificial AnalysisGPT-5.5 (Medium) GPQA Diamond92.6%
Artificial AnalysisGPT-5.5 (Medium) HLE42.4%
Artificial AnalysisGPT-5.5 (Medium) IFBench71.0%
Artificial AnalysisGPT-5.5 (Medium) τ²-Bench Telecom91.8%
Artificial AnalysisGPT-5.5 (Medium) AA-LCR83.0%
Artificial AnalysisGPT-5.5 (Medium) τ-Bench Banking29.9%
Artificial AnalysisGPT-5.5 (Medium) GDPval-AA37.1%
Artificial AnalysisGPT-5.5 (Medium) CritPt18.6%
Artificial AnalysisGPT-5.5 (Medium) SciCode54.5%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 4.05.1%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 2.180.5%
Design ArenaGPT-5.5 Agents Arena Agenticgamedev Elo1127
Design ArenaGPT-5.5 Agents Arena Agentichtmlslides Elo1084
Design ArenaGPT-5.5 Agents Arena Agenticslides Elo1150
Design ArenaGPT-5.5 Agents Arena Agenticslides(Html) Elo1077
Design ArenaGPT-5.5 Agents Arena Agenticslides(Python-Pptx) Elo1155
Design ArenaGPT-5.5 Agents Arena Androidnative Elo1160
Design ArenaGPT-5.5 Agents Arena Full Stack Elo1089
Design ArenaGPT-5.5 Agents Arena Godotgamedev Elo1173
Design ArenaGPT-5.5 Agents Arena Htmlslides Elo963
Design ArenaGPT-5.5 Agents Arena Mobile Apps Elo1142
Design ArenaGPT-5.5 Agents Arena Pptxslides Elo1157
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1152
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1065
Design ArenaGPT-5.5 Agents Arena Webapps Elo1102
Design ArenaGPT-5.5 Models Arena 3D Elo1195
Design ArenaGPT-5.5 Models Arena Asciiart Elo1252
Design ArenaGPT-5.5 Models Arena Code Categories Elo1258
Design ArenaGPT-5.5 Models Arena Data Visualization Elo1263
Design ArenaGPT-5.5 Models Arena Game Development Elo1291
Design ArenaGPT-5.5 Models Arena SVG Elo1229
Design ArenaGPT-5.5 Models Arena UI Component Elo1255
Design ArenaGPT-5.5 Models Arena Website Elo1255
Vals AIGPT 5.5 CaseLaw v266.2%
Vals AIGPT 5.5 Code Migration45.2%
Vals AIGPT 5.5 CorpFin v268.4%
Vals AIGPT 5.5 EMB64.5%
Vals AIGPT 5.5 Finance Agent (v2)51.8%
Vals AIGPT 5.5 GPQA Diamond93.2%
Vals AIGPT 5.5 Harvey's Legal Agent Benchmark v13.8%
Vals AIGPT 5.5 LiveCodeBench85.3%
Vals AIGPT 5.5 LegalBench86.5%
Vals AIGPT 5.5 Legal Research Bench40.4%
Vals AIGPT 5.5 MedCode49.1%
Vals AIGPT 5.5 MedScribe86.9%
Vals AIGPT 5.5 MMLU Pro88.1%
Vals AIGPT 5.5 MMMU Pro88.3%
Vals AIGPT 5.5 MortgageTax68.8%
Vals AIGPT 5.5 ProgramBench0.5%
Vals AIGPT 5.5 ProofBench v150.0%
Vals AIGPT 5.5 Public Benefits Bench v1.160.9%
Vals AIGPT 5.5 Vals RSI Index16.5%
Vals AIGPT 5.5 SAGE v151.5%
Vals AIGPT 5.5 SkillsBench62.2%
Vals AIGPT 5.5 SRE Bench3.8%
Vals AIGPT 5.5 SWE-bench82.6%
Vals AIGPT 5.5 Tax Agent Bench21.8%
Vals AIGPT 5.5 TaxEval v275.0%
Vals AIGPT 5.5 Terminal-Bench 2.176.4%
Vals AIGPT 5.5 Vals Index57.4%
Vals AIGPT 5.5 Vals Multimodal Index68.1%
Vals AIGPT 5.5 Vibe Code Bench v1.169.8%

Apps

Öffentliche Apps, die den meisten Datenverkehr an dieses Modell senden. Ein guter Anhaltspunkt dafür, wie echte Produktionsworkloads aussehen – und ein Hinweis darauf, für welche Anwendungsfälle dieses Modell am besten geeignet ist.

Aktivität

Token-Volumen und Anfrageaufkommen für dieses Modell im Zeitverlauf.

API

Direkt einsetzbarer Code zum Aufrufen dieses Modells. Die API von OpenRouter ist OpenAI-kompatibel – bei den meisten SDKs genügt es, die Basis-URL auszutauschen. Zwischen den Modellen ändert sich nur der unten stehende Modell-Slug.

OpenAI: GPT Sol-Versionen

Über regionales Routing innerhalb der EU verfügbar

OpenAI: GPT-5.5 ist über regionsinternes EU-Routing verfügbar. An eu.openrouter.ai gesendete Anfragen werden in der EU entschlüsselt und ausschließlich an gemeinsam genutzte Anbieter-Endpunkte in Europa (EU/EWR, Vereinigtes Königreich und Schweiz) weitergeleitet.

Anbieter in Europa
Azure
Preise in Europa
  • Azure: 5,50 $/M tokens Eingabe, 33 $/M tokens Ausgabe
Basis-URL
https://eu.openrouter.ai/api/v1
Tarif
Erfordert Business oder Enterprise. Self-Service mit Business: kein Vertrag, kein monatlicher Mindestbetrag. OpenRouter Business für Routing innerhalb der EU

Im Fehlerfall gesperrt: Wenn kein gemeinsam genutzter Anbieter-Endpunkt in Europa verfügbar ist, schlägt die Anfrage fehl, statt die Region zu verlassen. Anfragen, die mit Ihrem eigenen BYOK-Schlüssel bedient werden, gehen an die Region Ihrer Bereitstellung, die Sie selbst kontrollieren. Dokumentation zum regionsinternen Routing

Dokumentation

Anleitungen, Rezeptsammlungen, Blogbeiträge und Tools für die Entwicklung mit OpenAI: GPT-5.5 auf OpenRouter.

  • GPT-5.4 Migration GuideRezeptsammlung
  • GPT-5.5 Price Increase: What It Actually CostsBlogbeitrag

Weitere Modelle entdecken

KI-Modelle mit Bildverarbeitung: Multimodale LLMs für das BildverständnisSammlungKI-ModellranglistenRangliste
Latenz / Durchsatz
5,00 $30,00 $0,50 $2,61s66 tps
98,94 %
5,00 $30,00 $0,50 $2,11s60 tps
100,00 %
Nicht beim Routing im Modus Standard verwendet:Warum diese Endpunkte nicht verwendet werden
Flex
2,50 $15,00 $0,25 $----
100,00 %
5,50 $33,00 $0,55 $0,79s85 tps
100,00 %
5,50 $33,00 $0,55 $0,79s78 tps
100,00 %
5,50 $33,00 $0,55 $0,19s61 tps
100,00 %
Fast
12,50 $75,00 $1,25 $3,96s88 tps
--
Durchsatz
88Token/s

P50, bester Wert über alle Anbieter hinweg

Latenz
0,19s

P50, bester Anbieter

AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchOpenAI93,9 %78,0 %
Verfügbarkeit (3 Tage)Das Modell war erreichbar. Die Anfrage wurde an einen Anbieter weitergeleitet.
100,00 %
Verfügbarkeit (3 Tage)Das Modell hat über einen beliebigen Anbieter ein Inferenzergebnis zurückgegeben. Fehler und leere Antworten wirken sich negativ darauf aus.
99,89 %

Verfügbarkeit in den letzten 3 Tagen

Letzte 72 Stunden
Verfügbarkeit 99,89 %
Vor 3 TagenVor 2 TagenGesternJetzt

Verfügbarkeit in den letzten 24 Stunden

OpenRouter Availability
99,88 %
Without Routing
99,02 %

Wenn bei einem vorgelagerten Anbieter ein Fehler auftritt, können wir diesen durch die Weiterleitung an einen anderen funktionsfähigen Anbieter beheben, sofern Ihre Anfragefilter dies zulassen. Sie können programmgesteuert auf die Verfügbarkeitsdaten pro Anbieter zugreifen, und zwar über die Endpunkt-API. Erfahren Sie mehr über unsere Optionen für Lastverteilung und Anbieter-Routing.

1.
Favicon für https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
18,5BToken
2.
Favicon für https://www.framer.com/
Framer
Create a professional website with Framer’s no-code AI website builder. Design freely, manage CMS content, optimize SEO, collaborate, and publish fast.
14,7BToken
3.
Favicon für https://openai.com/codex
Codex
A coding agent that helps you build and ship with AI
9,21BToken
4.
Favicon für https://omp.sh/
omp
neu
5,49BToken
5.
Favicon für https://pi.dev/
pi
There are many coding agents, but this one is yours.
3,21BToken

Häufig gestellte Fragen

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Die Dokumentation zu GPT-5.5 auf OpenRouter umfasst das Cookbook GPT-5.4 Migration Guide und der Blogbeitrag GPT-5.5 Price Increase: What It Actually Costs. Der Schnellstart behandelt API-Schlüssel und Ihre erste Anfrage, und die API-Referenz listet alle Parameter auf.

GPT-5.5 kostet 5,00 $/M Eingabe-Token und 30,00 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 0,50 $/M tokens und Web Search für 10,00 $/1K calls.

GPT-5.5 hat ein Kontextfenster von 1.050.000 Token. Es unterstützt bis zu 128.000 Completion-Token.

Ja. GPT-5.5 akzeptiert tools und tool_choice für Funktionsaufrufe. Es unterstützt auch strukturierte Ausgaben über ein JSON-Schema in response_format.

GPT-5.5 akzeptiert Dateien wie PDFs, Bilder und Text als Eingabe und gibt Text zurück.

GPT-5.5 wird auf OpenRouter von 3 Anbietern bereitgestellt: OpenAI, Azure und Amazon Bedrock. Anfragen werden an den besten verfügbaren Anbieter weitergeleitet, bei Ausfällen wird automatisch zu den anderen gewechselt, und Sie können Anbieter über das Anbieter-Routing festlegen oder ausschließen.

GPT-5.5 wurde am 24. April 2026 veröffentlicht. Der Wissensstand reicht bis zum 1. Dezember 2025.

Weitere Modelle von OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext1 $ / 5 $
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext0,50 $ / 2,50 $
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

Text1,1M Kontext1 $ / 5 $
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

Text1,1M Kontext0,50 $ / 2,50 $
GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

Entscheidungen0,10 $ / 0 $
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext2 $ / 10 $
GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext1 $ / 5 $
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1,1M Kontext2 $ / 10 $
GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1,1M Kontext1 $ / 5 $
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext0,10 $ / 0,50 $
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext0,05 $ / 0,25 $
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Text1,1M Kontext0,10 $ / 0,50 $
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Text1,1M Kontext0,05 $ / 0,25 $
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext2 $ / 10 $
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1,1M Kontext1 $ / 5 $
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Text1,1M Kontext2 $ / 10 $
GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Text1,1M Kontext1 $ / 5 $
GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

Text1,1M Kontext
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

Text1,1M Kontext
GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

Text1,1M Kontext