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Favicon für anthropic

Anthropic: Claude Opus 4.6 (batch)

anthropic/claude-opus-4.6:batch

Vergleich

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.

Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution.

For users upgrading from earlier Opus versions, see our official migration guide hereOpens in new tab

Modalitäten
Eingabe- / Ausgabepreis
2,50 $ / 12,50 $pro 1 Mio.
Kontext
1,0M
Veröffentlicht
4. Feb. 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 Anthropic: Claude Opus 4.6 (batch) (Artificial Analysis, Design Arena und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisClaude Opus 4.6 (Max) GPQA Diamond89.6%
Artificial AnalysisClaude Opus 4.6 (Max) HLE39.9%
Artificial AnalysisClaude Opus 4.6 (Max) IFBench53.1%
Artificial AnalysisClaude Opus 4.6 (Max) τ²-Bench Telecom92.1%
Artificial AnalysisClaude Opus 4.6 (Max) AA-LCR78.0%
Artificial AnalysisClaude Opus 4.6 (Max) CritPt12.6%
Artificial AnalysisClaude Opus 4.6 (Max) Terminal-Bench Hard46.2%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) GPQA Diamond84.0%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) HLE19.1%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) IFBench44.6%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) τ²-Bench Telecom84.8%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) AA-LCR67.0%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) CritPt2.8%
Artificial AnalysisClaude Opus 4.6 (Non-reasoning, High) Terminal-Bench Hard48.5%
Design ArenaClaude Opus 4.6 Agents Arena Agenticgamedev Elo1144
Design ArenaClaude Opus 4.6 Agents Arena Androidnative Elo1190
Design ArenaClaude Opus 4.6 Agents Arena Blender3d Elo1008
Design ArenaClaude Opus 4.6 Agents Arena Full Stack Elo1220
Design ArenaClaude Opus 4.6 Agents Arena Mobile Apps Elo1207
Design ArenaClaude Opus 4.6 Agents Arena Pdf Elo1269
Design ArenaClaude Opus 4.6 Agents Arena Spreadsheet Elo1222
Design ArenaClaude Opus 4.6 Agents Arena Webapps Elo1191
Design ArenaClaude Opus 4.6 Models Arena 3D Elo1271
Design ArenaClaude Opus 4.6 Models Arena Asciiart Elo1250
Design ArenaClaude Opus 4.6 Models Arena Code Categories Elo1287
Design ArenaClaude Opus 4.6 Models Arena Data Visualization Elo1279
Design ArenaClaude Opus 4.6 Models Arena Game Development Elo1272
Design ArenaClaude Opus 4.6 Models Arena SVG Elo1212
Design ArenaClaude Opus 4.6 Models Arena UI Component Elo1278
Design ArenaClaude Opus 4.6 Models Arena Website Elo1290
Vals AIClaude Opus 4.6 (Thinking) AIME95.6%
Vals AIClaude Opus 4.6 (Thinking) CaseLaw v262.1%
Vals AIClaude Opus 4.6 (Thinking) CorpFin v267.0%
Vals AIClaude Opus 4.6 (Thinking) Finance Agent v1.160.0%
Vals AIClaude Opus 4.6 (Thinking) GPQA Diamond89.6%
Vals AIClaude Opus 4.6 (Thinking) LiveCodeBench84.7%
Vals AIClaude Opus 4.6 (Thinking) LegalBench85.3%
Vals AIClaude Opus 4.6 (Thinking) MedCode49.1%
Vals AIClaude Opus 4.6 (Thinking) MedQA95.4%
Vals AIClaude Opus 4.6 (Thinking) MedScribe86.1%
Vals AIClaude Opus 4.6 (Thinking) MMLU Pro89.1%
Vals AIClaude Opus 4.6 (Thinking) MMMU Pro83.9%
Vals AIClaude Opus 4.6 (Thinking) MortgageTax68.5%
Vals AIClaude Opus 4.6 (Thinking) ProofBench v150.0%
Vals AIClaude Opus 4.6 (Thinking) SAGE v151.6%
Vals AIClaude Opus 4.6 (Thinking) SWE-bench78.2%
Vals AIClaude Opus 4.6 (Thinking) TaxEval v276.0%
Vals AIClaude Opus 4.6 (Thinking) Terminal-Bench 2.058.4%
Vals AIClaude Opus 4.6 (Thinking) Vals Index66.0%
Vals AIClaude Opus 4.6 (Thinking) Vals Multimodal Index65.2%
Vals AIClaude Opus 4.6 (Thinking) Vibe Code Bench v1.153.5%

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.

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

Dokumentation

Anleitungen, Rezeptsammlungen, Blogbeiträge und Tools für die Entwicklung mit Anthropic: Claude Opus 4.6 (batch) auf OpenRouter.

  • Claude 4.6 Migration GuideRezeptsammlung

Weitere Modelle entdecken

KI-Modelle mit Bildverarbeitung: Multimodale LLMs für das BildverständnisSammlungKI-ModellranglistenRangliste
2,50 $12,50 $0,25 $----
--
AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchAnthropic87,6 %76,3 %Azure87,7 %75,5 %Claude Platform on AWS87,2 %75,6 %auto-routing87,6 %74,7 %Google Vertex87,1 %75,1 %Google Vertex87,4 %74,2 %
+1 weitere Anbieter

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

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time.

Die Dokumentation zu Claude Opus 4.6 (batch) auf OpenRouter umfasst das Cookbook Claude 4.6 Migration Guide. Der Schnellstart behandelt API-Schlüssel und Ihre erste Anfrage, und die API-Referenz listet alle Parameter auf.

Claude Opus 4.6 (batch) kostet 2,50 $/M Eingabe-Token und 12,50 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 0,25 $/M tokens, Cache Write für 3,125 $/M tokens, Cache Write (1h) für 5,00 $/M tokens und Web Search für 10,00 $/1K calls.

Claude Opus 4.6 (batch) hat ein Kontextfenster von 1.000.000 Token. Es unterstützt bis zu 128.000 Completion-Token.

Ja. Claude Opus 4.6 (batch) akzeptiert tools und tool_choice für Funktionsaufrufe. Es unterstützt auch strukturierte Ausgaben über ein JSON-Schema in response_format.

Claude Opus 4.6 (batch) akzeptiert Text, Bilder und Dateien wie PDFs als Eingabe und gibt Text zurück.

Claude Haiku 5.5, Claude Sonnet 5.5, Claude Opus 5.5 und 11 weitere sind weitere Modelle von Anthropic für die Modalität Text.

Claude Opus 4.6 (batch) wurde am 4. Februar 2026 veröffentlicht.

Weitere Modelle von Anthropic

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

Text1M Kontext0,10 $ / 0,50 $
Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

Text1M Kontext0,05 $ / 0,25 $
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

Text1M Kontext2 $ / 10 $
Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

Text1M Kontext1 $ / 5 $
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Text1M Kontext4 $ / 20 $
Claude Opus 5.5 (batch)

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Text1M Kontext2 $ / 10 $
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

Text1M Kontext10 $ / 50 $
Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

Text1M Kontext5 $ / 25 $
Claude Opus 5

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

Text1M Kontext
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Text1M Kontext5 $ / 25 $
Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Text1M Kontext2,50 $ / 12,50 $
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Text1M Kontext2 $ / 10 $
Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Text1M Kontext1 $ / 5 $
Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

Text1M Kontext
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

Text1M Kontext10 $ / 50 $
Claude Fable 5 (batch)

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

Text1M Kontext5 $ / 25 $
Claude Opus 4.8

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

Text1M Kontext
Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

Text1M Kontext5 $ / 25 $
Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

Text1M Kontext2,50 $ / 12,50 $
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Text1M Kontext