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Favicon für openai

OpenAI: GPT-6 Astra

openai/gpt-6-astra

Vergleich

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Modalitäten
Eingabe- / Ausgabepreis
10 $ / 50 $pro 1 Mio.
Kontext
1,1M
Veröffentlicht
4. 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 Astra (Artificial Analysis und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisGPT-6 Astra (Max) Intelligence Index56,9
Artificial AnalysisGPT-6 Astra (Max) Coding Index76,9
Artificial AnalysisGPT-6 Astra (Max) Agentic Index51,0
Artificial AnalysisGPT-6 Astra (Max) GPQA Diamond96.1%
Artificial AnalysisGPT-6 Astra (Max) HLE54.7%
Artificial AnalysisGPT-6 Astra (Max) AA-LCR80.7%
Artificial AnalysisGPT-6 Astra (Max) τ-Bench Banking41.4%
Artificial AnalysisGPT-6 Astra (Max) GDPval-AA54.2%
Artificial AnalysisGPT-6 Astra (Max) CritPt31.7%
Artificial AnalysisGPT-6 Astra (Max) SciCode56.5%
Artificial AnalysisGPT-6 Astra (Max) Terminal-Bench 4.059.1%
Artificial AnalysisGPT-6 Astra (Max) Terminal-Bench 2.188.4%
Artificial AnalysisGPT-6 Astra (Max) AA-Omniscience Accuracy61.6%
Artificial AnalysisGPT-6 Astra (Max) AA-Omniscience Non-Hallucination Rate50.2%
Artificial AnalysisGPT-6 Astra (Low) Intelligence Index43,0
Artificial AnalysisGPT-6 Astra (Low) Coding Index75,7
Artificial AnalysisGPT-6 Astra (Low) Agentic Index38,8
Artificial AnalysisGPT-6 Astra (Low) GPQA Diamond93.1%
Artificial AnalysisGPT-6 Astra (Low) HLE49.2%
Artificial AnalysisGPT-6 Astra (Low) AA-LCR80.0%
Artificial AnalysisGPT-6 Astra (Low) τ-Bench Banking32.0%
Artificial AnalysisGPT-6 Astra (Low) GDPval-AA45.2%
Artificial AnalysisGPT-6 Astra (Low) CritPt26.3%
Artificial AnalysisGPT-6 Astra (Low) SciCode54.1%
Artificial AnalysisGPT-6 Astra (Low) Terminal-Bench 4.041.9%
Artificial AnalysisGPT-6 Astra (Low) Terminal-Bench 2.188.0%
Artificial AnalysisGPT-6 Astra (Low) AA-Omniscience Accuracy58.6%
Artificial AnalysisGPT-6 Astra (Low) AA-Omniscience Non-Hallucination Rate55.8%
Artificial AnalysisGPT-6 Astra (Xhigh) Intelligence Index55,3
Artificial AnalysisGPT-6 Astra (Xhigh) Coding Index75,9
Artificial AnalysisGPT-6 Astra (Xhigh) Agentic Index50,2
Artificial AnalysisGPT-6 Astra (Xhigh) GPQA Diamond96.3%
Artificial AnalysisGPT-6 Astra (Xhigh) HLE54.6%
Artificial AnalysisGPT-6 Astra (Xhigh) AA-LCR80.0%
Artificial AnalysisGPT-6 Astra (Xhigh) τ-Bench Banking43.1%
Artificial AnalysisGPT-6 Astra (Xhigh) GDPval-AA53.5%
Artificial AnalysisGPT-6 Astra (Xhigh) CritPt31.4%
Artificial AnalysisGPT-6 Astra (Xhigh) SciCode55.7%
Artificial AnalysisGPT-6 Astra (Xhigh) Terminal-Bench 4.059.6%
Artificial AnalysisGPT-6 Astra (Xhigh) Terminal-Bench 2.189.1%
Artificial AnalysisGPT-6 Astra (Xhigh) AA-Omniscience Accuracy61.0%
Artificial AnalysisGPT-6 Astra (Xhigh) AA-Omniscience Non-Hallucination Rate55.4%
Artificial AnalysisGPT-6 Astra (High) Intelligence Index54,8
Artificial AnalysisGPT-6 Astra (High) Coding Index77,1
Artificial AnalysisGPT-6 Astra (High) Agentic Index48,2
Artificial AnalysisGPT-6 Astra (High) GPQA Diamond94.9%
Artificial AnalysisGPT-6 Astra (High) HLE53.1%
Artificial AnalysisGPT-6 Astra (High) AA-LCR80.0%
Artificial AnalysisGPT-6 Astra (High) τ-Bench Banking40.0%
Artificial AnalysisGPT-6 Astra (High) GDPval-AA51.8%
Artificial AnalysisGPT-6 Astra (High) CritPt28.9%
Artificial AnalysisGPT-6 Astra (High) SciCode55.4%
Artificial AnalysisGPT-6 Astra (High) Terminal-Bench 4.054.0%
Artificial AnalysisGPT-6 Astra (High) Terminal-Bench 2.189.9%
Artificial AnalysisGPT-6 Astra (High) AA-Omniscience Accuracy61.1%
Artificial AnalysisGPT-6 Astra (High) AA-Omniscience Non-Hallucination Rate57.5%
Artificial AnalysisGPT-6 Astra (Medium) Intelligence Index51,5
Artificial AnalysisGPT-6 Astra (Medium) Coding Index76,7
Artificial AnalysisGPT-6 Astra (Medium) Agentic Index46,0
Artificial AnalysisGPT-6 Astra (Medium) GPQA Diamond93.9%
Artificial AnalysisGPT-6 Astra (Medium) HLE52.7%
Artificial AnalysisGPT-6 Astra (Medium) AA-LCR79.7%
Artificial AnalysisGPT-6 Astra (Medium) τ-Bench Banking35.5%
Artificial AnalysisGPT-6 Astra (Medium) GDPval-AA49.9%
Artificial AnalysisGPT-6 Astra (Medium) CritPt29.1%
Artificial AnalysisGPT-6 Astra (Medium) SciCode54.2%
Artificial AnalysisGPT-6 Astra (Medium) Terminal-Bench 4.049.5%
Artificial AnalysisGPT-6 Astra (Medium) Terminal-Bench 2.189.5%
Artificial AnalysisGPT-6 Astra (Medium) AA-Omniscience Accuracy59.6%
Artificial AnalysisGPT-6 Astra (Medium) AA-Omniscience Non-Hallucination Rate54.8%
Vals AIGPT-6 Astra BioMysteryBench79.3%
Vals AIGPT-6 Astra Code Migration v1.180.6%
Vals AIGPT-6 Astra CyberBench v1.141.1%
Vals AIGPT-6 Astra EMB v1.172.7%
Vals AIGPT-6 Astra Finance Agent v2.160.4%
Vals AIGPT-6 Astra Vals Finance Index55.6%
Vals AIGPT-6 Astra HLAB-Vals-1.17.1%
Vals AIGPT-6 Astra Immigration67.7%
Vals AIGPT-6 Astra IOI100.0%
Vals AIGPT-6 Astra Vals Legal Index68.4%
Vals AIGPT-6 Astra Legal Research Bench39.4%
Vals AIGPT-6 Astra MedCode48.5%
Vals AIGPT-6 Astra MedScribe87.9%
Vals AIGPT-6 Astra MysteryMechanism53.2%
Vals AIGPT-6 Astra ProgramBench5.5%
Vals AIGPT-6 Astra ProofBench v1.199.0%
Vals AIGPT-6 Astra Robo-bench23.3%
Vals AIGPT-6 Astra Vals RSI Index27.1%
Vals AIGPT-6 Astra SAGE v146.4%
Vals AIGPT-6 Astra Vals Science Index65.1%
Vals AIGPT-6 Astra SRE Bench56.9%
Vals AIGPT-6 Astra SWE-bench Multimodal43.3%
Vals AIGPT-6 Astra Tax Agent Bench20.7%
Vals AIGPT-6 Astra Terminal-Bench 4.059.6%
Vals AIGPT-6 Astra Terminal-Bench-Science62.9%
Vals AIGPT-6 Astra Vals Index65.0%
Vals AIGPT-6 Astra Vibe Code Bench 1-10027.6%
Vals AIGPT-6 Astra Vibe Code Bench v1.189.6%

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 Astra-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 Astra auf OpenRouter.

  • GPT-6 Migration GuideRezeptsammlung

Weitere Modelle entdecken

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60,00 $300,00 $6,00 $1,53s156 tps
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Durchsatz
156Token/s

P50, bester Wert über alle Anbieter hinweg

Latenz
1,53s

P50, bester Anbieter

AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchAmazon Bedrock94,8 %68,0 %OpenAI94,6 %68,0 %
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.
99,62 %

Verfügbarkeit in den letzten 3 Tagen

Letzte 72 Stunden
Verfügbarkeit 99,62 %
Vor 3 TagenVor 2 TagenGesternJetzt

Verfügbarkeit in den letzten 24 Stunden

OpenRouter Availability
99,81 %
Without Routing
98,89 %

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.

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Häufig gestellte Fragen

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

Die Dokumentation zu GPT-6 Astra auf OpenRouter umfasst das Cookbook GPT-6 Migration Guide. Der Schnellstart behandelt API-Schlüssel und Ihre erste Anfrage, und die API-Referenz listet alle Parameter auf.

GPT-6 Astra kostet 10,00 $/M Eingabe-Token und 50,00 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 1,00 $/M tokens und Cache Write für 12,50 $/M tokens.

GPT-6 Astra hat ein Kontextfenster von 1.050.000 Token. Es unterstützt bis zu 128.000 Completion-Token.

Ja. GPT-6 Astra 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 Astra 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 Astra akzeptiert Dateien wie PDFs, Bilder und Text als Eingabe und gibt Text zurück.

GPT-6 Astra wird auf OpenRouter von 3 Anbietern bereitgestellt: OpenAI, Amazon Bedrock und Azure. 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-6 Astra wurde am 4. 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

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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

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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

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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.

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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