Anthropics leistungsstärkstes Modell für tiefgehende Analysen, wissenschaftliche Forschung und hochkomplexe Problemlösungen über MuAPI.Unerreichte Qualität bei der Bewältigung anspruchsvoller Aufgabenstellungen und komplexer logischer Ketten.
Anthropic's newest Opus model — top-tier coding, long-context reasoning, and agentic workflows at a lower price than Opus 5, billed at official Anthropic rates.
Anthropics aktuelles Spitzenmodell für anspruchsvolles Coding, logisches Schließen mit großem Kontext und agentische Workflows.
Opus-Vorgängergeneration für komplexe Programmieraufgaben, Logikketten und autonome Agenten.
Opus-Vorgängergeneration, weiterhin vollständig für bestehende Integrationen unterstützt.
Opus-Vorgängergeneration, weiterhin für bestehende Integrationen verfügbar.
The earliest live Opus tier on Muapi, kept available for existing integrations.
Claude 3 Opus markiert die Spitze der argumentativen Sprachmodelle. Es analysiert mehrschichtige Sachverhalte mit unübertroffener intellektueller Tiefe.
Perfekt für juristische Recherchen, finanzielle Modellierung und wissenschaftliche Fachanalysen.
Löst mathematische, logische und wissenschaftliche Fragestellungen souverän.
Interpretiert komplexe Diagramme, Tabellen und Schaltpläne zuverlässig.
Formuliert elaborierte Gutachten und Berichte in exzellentem Stil.
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| claude-opus-5-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $4.00/M in · $20.00/M out | The newest Opus tier, at official Anthropic pricing |
| claude-opus-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Current-generation flagship reasoning and coding |
| claude-opus-4-8 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Prior-generation flagship, existing integrations |
| claude-opus-4-7 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Prior-generation flagship, existing integrations |
| claude-opus-4-6 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Prior-generation flagship, existing integrations |
| claude-opus-4-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Earliest live Opus tier, existing integrations |
Minimum $0.0006 per call across every Opus tier. Actual cost is deducted after each call based on token counts returned by the model. Every tier also exposes a /stream endpoint at the same price.
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint — or call the /stream variant for a live SSE token feed. The request shape is identical across every Opus tier.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-5-5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Review this pull request diff for correctness and suggest a safer approach.","system_prompt":"You are a precise senior staff engineer.","image_url":"https://example.com/diff-screenshot.png"}'
# Response: {"request_id":"REQUEST_ID"}Call claude-opus-5-5 with a prompt, and optionally a system_prompt and image_url.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll until the task is completed, then read the generated text from outputs.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-5-5/stream \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Plan a multi-file refactor for this module and list the follow-up questions."}'
# Response: a stream of SSE chunks, one per line:
# data: {"choices":[{"delta":{"content":"Here"}}]}
# data: {"choices":[{"delta":{"content":" is"}}]}
# data: [DONE]Call claude-opus-5-5/stream with the same fields to receive SSE chunks as the model generates them, ending in a [DONE] marker.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Debug this stack trace and propose a fix.","image_url":"https://example.com/stack-trace.png"}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on the current-generation flagship tier.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Same shared result endpoint, regardless of which model version submitted the task.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-4-8 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Review this code and suggest improvements for performance and readability."}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on the prior-generation flagship tier.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Gleicher gemeinsamer Ergebnis-Endpunkt.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-4-7 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Summarize the key risks in this architecture proposal."}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on an earlier flagship tier.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Gleicher gemeinsamer Ergebnis-Endpunkt.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-4-6 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Draft a technical design doc outline for this feature."}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on an earlier flagship tier.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Gleicher gemeinsamer Ergebnis-Endpunkt.
curl -X POST https://api.muapi.ai/api/v1/claude-opus-4-5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Analyze this dataset summary and flag anomalies."}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on the earliest live Opus tier.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Same shared result endpoint, regardless of which model version submitted the task.
Opus empfiehlt sich für Aufgaben mit höchstem intellektuellen Anspruch, bei denen maximale Gründlichkeit über Geschwindigkeit geht.
Ja, Antworten können in Echtzeit gestreamt werden.
Integrieren Sie das Flaggschiff von Anthropic in Ihre Systeme.