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Favicon für anthropic

Anthropic: Claude Haiku 4.5

anthropic/claude-haiku-4.5

Vergleich

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.

It introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world’s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled deployment.

Modalitäten
Eingabe- / Ausgabepreis
1 $ / 5 $pro 1 Mio.
Kontext
200K
Veröffentlicht
15. Okt. 2025
Vergleich
AnbieterPreiseLeistungVerfügbarkeitLeistungsvergleicheAppsAktivitätFAQEntdecken

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 Haiku 4.5 (Artificial Analysis, Design Arena und Vals AI)
QuelleBenchmarkErgebnis
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) GPQA Diamond64.6%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) HLE4.2%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) IFBench42.0%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) τ²-Bench Telecom32.5%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) AA-LCR49.7%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) CritPt0.0%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) LiveCodeBench51.1%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) Terminal-Bench Hard27.3%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) MMLU-Pro80.0%
Artificial AnalysisClaude 4.5 Haiku (Non-reasoning) AIME 202539.0%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) Coding Index43,9
Artificial AnalysisClaude 4.5 Haiku (Reasoning) Agentic Index8,0
Artificial AnalysisClaude 4.5 Haiku (Reasoning) GPQA Diamond67.2%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) HLE10.4%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) IFBench54.3%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) τ²-Bench Telecom54.7%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) AA-LCR74.3%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) τ-Bench Banking9.3%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) GDPval-AA12.0%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) CritPt0.0%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) LiveCodeBench61.5%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) SciCode42.2%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) Terminal-Bench Hard27.3%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) Terminal-Bench 4.00.0%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) Terminal-Bench 2.144.2%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) MMLU-Pro76.0%
Artificial AnalysisClaude 4.5 Haiku (Reasoning) AIME 202583.7%
Design ArenaClaude Haiku 4.5 Models Arena 3D Elo1069
Design ArenaClaude Haiku 4.5 Models Arena Asciiart Elo1137
Design ArenaClaude Haiku 4.5 Models Arena Code Categories Elo1113
Design ArenaClaude Haiku 4.5 Models Arena Data Visualization Elo1125
Design ArenaClaude Haiku 4.5 Models Arena Game Development Elo1097
Design ArenaClaude Haiku 4.5 Models Arena SVG Elo1022
Design ArenaClaude Haiku 4.5 Models Arena UI Component Elo1095
Design ArenaClaude Haiku 4.5 Models Arena Website Elo1122
Vals AIClaude Haiku 4.5 (Nonthinking) CorpFin v260.3%
Vals AIClaude Haiku 4.5 (Nonthinking) Public Benefits Bench v1.154.3%

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.

Anthropic: Claude Haiku-Versionen

Über regionales Routing innerhalb der EU verfügbar

Anthropic: Claude Haiku 4.5 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
Amazon Bedrock, Google Vertex
Preise in Europa
  • Amazon Bedrock: 1,10 $/M tokens Eingabe, 5,50 $/M tokens Ausgabe
  • Google Vertex: 1,10 $/M tokens Eingabe, 5,50 $/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

Weitere Modelle entdecken

KI-Modelle mit Bildverarbeitung: Multimodale LLMs für das BildverständnisSammlungKI-ModellranglistenRangliste
Latenz / Durchsatz
1,00 $5,00 $0,10 $0,38s69 tps
100,00 %
1,00 $5,00 $0,10 $0,71s101 tps
100,00 %
1,00 $5,00 $0,10 $0,63s90 tps
99,77 %
1,00 $5,00 $0,10 $0,41s75 tps
100,00 %
Nicht beim Routing im Modus Standard verwendet:Warum diese Endpunkte nicht verwendet werden
1,10 $5,50 $0,11 $0,48s125 tps
100,00 %
1,10 $5,50 $0,11 $2,60s187 tps
100,00 %
1,10 $5,50 $0,11 $0,48s135 tps
100,00 %
1,10 $5,50 $0,11 $0,30s93 tps
100,00 %
Durchsatz
187Token/s

P50, bester Wert über alle Anbieter hinweg

Latenz
0,30s

P50, bester Anbieter

AutoExacto-Leistungsvergleiche
GPQA DiamondTAU-BenchGoogle Vertex72,9 %67,1 %Amazon Bedrock (EU)72,7 %67,2 %Amazon Bedrock (US)73,2 %66,4 %auto-routing73,0 %65,9 %Anthropic72,5 %65,8 %Azure72,9 %65,1 %Google Vertex (EU)71,3 %66,7 %Amazon Bedrock72,2 %65,5 %Google Vertex (US)72,3 %64,5 %
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.
99,87 %

Verfügbarkeit in den letzten 3 Tagen

Letzte 72 Stunden
Verfügbarkeit 99,87 %
Vor 3 TagenVor 2 TagenGesternJetzt

Verfügbarkeit in den letzten 24 Stunden

OpenRouter Availability
99,88 %
Without Routing
98,69 %

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://claude.ai/apple-touch-icon.png
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
47,2BToken
2.
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.
24,1BToken
3.
Favicon für https://revring.ai/
RevRing Max
neu
13,9BToken
4.
Favicon für https://openclaw.ai/
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
13,6BToken
5.
Favicon für https://descript.com/
Descript
AI Video & Podcast Editor
13BToken

Häufig gestellte Fragen

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.

Claude Haiku 4.5 kostet 1,00 $/M Eingabe-Token und 5,00 $/M Ausgabe-Token, mit separaten Tarifen für Cache Read für 0,10 $/M tokens, Cache Write für 1,25 $/M tokens und Cache Write (1h) für 2,00 $/M tokens.

Claude Haiku 4.5 hat ein Kontextfenster von 200.000 Token. Es unterstützt bis zu 64.000 Completion-Token.

Ja. Claude Haiku 4.5 akzeptiert tools und tool_choice für Funktionsaufrufe. Es unterstützt auch strukturierte Ausgaben über ein JSON-Schema in response_format.

Claude Haiku 4.5 akzeptiert Text, Bilder und Dateien wie PDFs als Eingabe und gibt Text zurück.

Claude Haiku 4.5 wird auf OpenRouter von 4 Anbietern bereitgestellt: Azure, Amazon Bedrock, Google Vertex und Anthropic. 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.

Claude Haiku 4.5 wurde am 15. Oktober 2025 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