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-6 Luna (batch)

openai/gpt-6-luna:batch

Vergleich

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.

Modalitäten
Eingabe- / Ausgabepreis
0,05 $ / 0,25 $pro 1 Mio.
Kontext
1,1M
Veröffentlicht
22. Sept. 2026
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-6 Luna (batch) (Artificial Analysis und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisGPT-6 Luna (High) Intelligence Index21,4
Artificial AnalysisGPT-6 Luna (High) HLE32.9%
Artificial AnalysisGPT-6 Luna (High) AA-LCR79.3%
Artificial AnalysisGPT-6 Luna (High) GDPval-AA42.6%
Artificial AnalysisGPT-6 Luna (High) CritPt15.4%
Artificial AnalysisGPT-6 Luna (High) SciCode50.3%
Artificial AnalysisGPT-6 Luna (High) Terminal-Bench 4.04.5%
Artificial AnalysisGPT-6 Luna (High) AA-Omniscience Accuracy39.0%
Artificial AnalysisGPT-6 Luna (High) AA-Omniscience Non-Hallucination Rate15.1%
Artificial AnalysisGPT-6 Luna (Low) Intelligence Index9,7
Artificial AnalysisGPT-6 Luna (Low) HLE20.3%
Artificial AnalysisGPT-6 Luna (Low) AA-LCR74.0%
Artificial AnalysisGPT-6 Luna (Low) GDPval-AA27.0%
Artificial AnalysisGPT-6 Luna (Low) CritPt2.6%
Artificial AnalysisGPT-6 Luna (Low) SciCode46.9%
Artificial AnalysisGPT-6 Luna (Low) Terminal-Bench 4.00.0%
Artificial AnalysisGPT-6 Luna (Low) AA-Omniscience Accuracy36.1%
Artificial AnalysisGPT-6 Luna (Low) AA-Omniscience Non-Hallucination Rate15.2%
Artificial AnalysisGPT-6 Luna (Non-reasoning) Intelligence Index9,4
Artificial AnalysisGPT-6 Luna (Non-reasoning) HLE8.6%
Artificial AnalysisGPT-6 Luna (Non-reasoning) AA-LCR39.7%
Artificial AnalysisGPT-6 Luna (Non-reasoning) GDPval-AA27.6%
Artificial AnalysisGPT-6 Luna (Non-reasoning) CritPt1.1%
Artificial AnalysisGPT-6 Luna (Non-reasoning) SciCode43.1%
Artificial AnalysisGPT-6 Luna (Non-reasoning) Terminal-Bench 4.01.5%
Artificial AnalysisGPT-6 Luna (Non-reasoning) AA-Omniscience Accuracy30.1%
Artificial AnalysisGPT-6 Luna (Non-reasoning) AA-Omniscience Non-Hallucination Rate20.0%
Artificial AnalysisGPT-6 Luna (Medium) Intelligence Index18,3
Artificial AnalysisGPT-6 Luna (Medium) HLE28.3%
Artificial AnalysisGPT-6 Luna (Medium) AA-LCR78.3%
Artificial AnalysisGPT-6 Luna (Medium) GDPval-AA38.5%
Artificial AnalysisGPT-6 Luna (Medium) CritPt10.6%
Artificial AnalysisGPT-6 Luna (Medium) SciCode50.9%
Artificial AnalysisGPT-6 Luna (Medium) Terminal-Bench 4.02.5%
Artificial AnalysisGPT-6 Luna (Medium) AA-Omniscience Accuracy38.7%
Artificial AnalysisGPT-6 Luna (Medium) AA-Omniscience Non-Hallucination Rate14.7%
Artificial AnalysisGPT-6 Luna (Xhigh) Intelligence Index23,3
Artificial AnalysisGPT-6 Luna (Xhigh) HLE34.3%
Artificial AnalysisGPT-6 Luna (Xhigh) AA-LCR80.0%
Artificial AnalysisGPT-6 Luna (Xhigh) GDPval-AA43.6%
Artificial AnalysisGPT-6 Luna (Xhigh) CritPt17.4%
Artificial AnalysisGPT-6 Luna (Xhigh) SciCode51.7%
Artificial AnalysisGPT-6 Luna (Xhigh) Terminal-Bench 4.08.1%
Artificial AnalysisGPT-6 Luna (Xhigh) AA-Omniscience Accuracy38.6%
Artificial AnalysisGPT-6 Luna (Xhigh) AA-Omniscience Non-Hallucination Rate16.0%
Artificial AnalysisGPT-6 Luna (Max) Intelligence Index27,8
Artificial AnalysisGPT-6 Luna (Max) HLE38.5%
Artificial AnalysisGPT-6 Luna (Max) AA-LCR83.3%
Artificial AnalysisGPT-6 Luna (Max) GDPval-AA47.2%
Artificial AnalysisGPT-6 Luna (Max) CritPt19.4%
Artificial AnalysisGPT-6 Luna (Max) SciCode54.6%
Artificial AnalysisGPT-6 Luna (Max) Terminal-Bench 4.012.6%
Artificial AnalysisGPT-6 Luna (Max) AA-Omniscience Accuracy39.6%
Artificial AnalysisGPT-6 Luna (Max) AA-Omniscience Non-Hallucination Rate20.7%
Vals AIGPT-6 Luna BioMysteryBench61.5%
Vals AIGPT-6 Luna ClaimBench99.2%
Vals AIGPT-6 Luna Code Migration v1.146.7%
Vals AIGPT-6 Luna CyberBench v1.176.3%
Vals AIGPT-6 Luna EMB v1.170.0%
Vals AIGPT-6 Luna Finance Agent v2.156.8%
Vals AIGPT-6 Luna Vals Finance Index53.1%
Vals AIGPT-6 Luna HLAB-Vals-1.14.2%
Vals AIGPT-6 Luna Immigration62.5%
Vals AIGPT-6 Luna IOI55.6%
Vals AIGPT-6 Luna Vals Legal Index62.2%
Vals AIGPT-6 Luna Legal Research Bench30.3%
Vals AIGPT-6 Luna MedCode44.7%
Vals AIGPT-6 Luna MedScribe83.7%
Vals AIGPT-6 Luna MysteryMechanism19.4%
Vals AIGPT-6 Luna ProgramBench0.5%
Vals AIGPT-6 Luna ProofBench v1.164.0%
Vals AIGPT-6 Luna Public Benefits Bench v1.157.6%
Vals AIGPT-6 Luna SAGE83.4%
Vals AIGPT-6 Luna Vals Science Index28.4%
Vals AIGPT-6 Luna SRE Bench2.7%
Vals AIGPT-6 Luna SWE-bench Multimodal37.5%
Vals AIGPT-6 Luna Tax Agent Bench19.9%
Vals AIGPT-6 Luna Terminal-Bench 4.013.6%
Vals AIGPT-6 Luna Terminal-Bench-Science4.3%
Vals AIGPT-6 Luna Vals Index52.3%
Vals AIGPT-6 Luna Vibe Code Bench v1.181.6%

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 Luna-Versionen

Derzeit nicht über EU-regionales Routing verfügbar. Dokumentation zum regionsinternen Routing

Dokumentation

Anleitungen, Rezeptsammlungen, Blogbeiträge und Tools für die Entwicklung mit OpenAI: GPT-6 Luna (batch) auf OpenRouter.

  • GPT-6 Migration GuideRezeptsammlung
  • Build an AI Code Reviewer with OpenRouterBlogbeitrag
  • How to Extract Tables from a PDF with an LLMBlogbeitrag

Weitere Modelle entdecken

KI-Modelle mit Bildverarbeitung: Multimodale LLMs für das BildverständnisSammlungKI-ModellranglistenRangliste
0,05 $0,25 $0,005 $----
--
AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchOpenAI89,2 %73,3 %Amazon Bedrock87,8 %68,7 %

Noch nicht genügend Daten zur Verfügbarkeit für eine Anzeige vorhanden.

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.

Für Apps, die dieses Modell verwenden, liegen noch nicht genügend Daten vor.

Häufig gestellte Fragen

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.

Die Dokumentation zu GPT-6 Luna (batch) auf OpenRouter umfasst das Cookbook GPT-6 Migration Guide, der Blogbeitrag Build an AI Code Reviewer with OpenRouter und der Blogbeitrag How to Extract Tables from a PDF with an LLM. Der Schnellstart behandelt API-Schlüssel und Ihre erste Anfrage, und die API-Referenz listet alle Parameter auf.

GPT-6 Luna (batch) kostet 0,05 $/M Eingabe-Token und 0,25 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 0,005 $/M tokens, Cache Write für 0,0625 $/M tokens und Web Search für 10,00 $/1K calls.

GPT-6 Luna (batch) hat ein Kontextfenster von 1.050.000 Token. Es unterstützt bis zu 128.000 Completion-Token.

Ja. GPT-6 Luna (batch) akzeptiert tools und tool_choice für Funktionsaufrufe. Es unterstützt auch strukturierte Ausgaben über ein JSON-Schema in response_format.

Ja. OpenAI speichert Prompts mit 1024 Token oder mehr automatisch im Cache, und GPT-6 Luna (batch) berechnet für jeden zwischengespeicherten Prompt einen Cache-Schreibvorgang, unabhängig davon, ob das zwischengespeicherte Präfix erneut gelesen wird. Um die Zwischenspeicherung für eine Anfrage zu deaktivieren, setzen Sie prompt_cache_options.mode auf "explicit" auf der obersten Ebene der Anfrage und markieren Sie keinen Inhaltsblock mit prompt_cache_breakpoint. Der explizite Modus deaktiviert von OpenAI verwaltete Haltepunkte, sodass eine Anfrage ohne eigene Haltepunkte kein zwischenspeicherbares Präfix hat und zum regulären Eingabepreis abgerechnet wird. Weitere Informationen finden Sie im Leitfaden zur Prompt-Zwischenspeicherung.

GPT-6 Luna (batch) akzeptiert Dateien wie PDFs, Bilder und Text als Eingabe und gibt Text zurück.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions und 58 weitere sind weitere Modelle von OpenAI für die Modalität Text.

GPT-6 Luna (batch) wurde am 22. September 2026 veröffentlicht.

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