Modelos/Claude Opus/Claude Opus

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API de Claude Opus — Máxima potencia de razonamiento de Anthropic

Claude 3 Opus y Claude 3.5 Opus representan la cumbre del razonamiento analítico, la síntesis interdisciplinaria y la comprensión de sistemas complejos de Anthropic.El modelo ideal para investigación científica, auditoría de seguridad, análisis financiero sofisticado y arquitectura de software de gran escala.

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Claude Opus 5.5

Anthropic's newest Opus tier — official Anthropic pricing, no Muapi markup1 models

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Claude Opus 5.5

Claude Opus 5.5 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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$4.00/M in · $20.00/M out

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Claude Opus 5

Current-generation flagship reasoning and coding model1 models

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Claude Opus 5

Claude Opus 5 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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$3.00/M in · $15.00/M out

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Claude Opus 4.8

Prior-generation flagship, still fully supported1 models

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Claude Opus 4.8

Claude Opus 4.8 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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$3.00/M in · $15.00/M out

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Claude Opus 4.7

Prior-generation flagship, still fully supported1 models

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Claude Opus 4.7

Claude Opus 4.7 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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$3.00/M in · $15.00/M out

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Claude Opus 4.6

Prior-generation flagship, still fully supported1 models

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Claude Opus 4.6

Claude Opus 4.6 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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$3.00/M in · $15.00/M out

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Claude Opus 4.5

Earliest live Opus tier on Muapi, for existing integrations1 models

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Claude Opus 4.5

Claude Opus 4.5 — Modelo insignia de máxima capacidad analítica y razonamiento profundo de Anthropic.

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Inteligencia profunda para desafíos de alta complejidad

Cuando la precisión y la profundidad analítica son críticas, Claude Opus sobresale evaluando hipótesis multifacéticas, analizando lagunas en argumentos y descubriendo patrones ocultos en grandes volúmenes de datos.

MuAPI te permite conectar Opus a tus flujos empresariales más sensibles con alta disponibilidad y monitoreo en tiempo real.

Capacidades de Claude Opus

Razonamiento analítico superior

Aborda problemas abstractos, demostraciones lógicas y evaluación de casos legales o médicos complejos.

Síntesis y análisis de documentos extensos

Extrae conclusiones sutiles de contratos, informes financieros y literatura académica densa.

Arquitectura de software y auditoría de código

Identifica vulnerabilidades de seguridad y propone refactorizaciones estructurales profundas.

Pricing

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.

Cómo invocar la API de Claude Opus

Envía una solicitud JSON con tu clave de API de Muapi, guarda el ID de la solicitud y consulta el endpoint compartido de resultados, o llama a la variante /stream para un flujo continuo de tokens por SSE. La estructura de la solicitud es idéntica en todos los niveles de Opus.

1. Submit a prompt to Claude Opus 5.5

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"}

Invoca claude-opus-5-5 con una indicación y, opcionalmente, un system_prompt y una image_url.

2. Poll the result

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.

Consulta hasta que la tarea se complete, luego lee el texto generado en outputs.

3. Stream the response instead

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.

4. Or call Claude Opus 5

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.

5. Poll the result

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.

Mismo endpoint de resultados compartido, independientemente de la versión de modelo que haya enviado la tarea.

6. Or call Claude Opus 4.8

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.

7. Poll the result

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.

8. Or call Claude Opus 4.7

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.

9. Poll the result

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.

10. Or call Claude Opus 4.6

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.

11. Poll the result

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.

12. Or call Claude Opus 4.5

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.

13. Poll the result

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.

Mismo endpoint de resultados compartido, independientemente de la versión de modelo que haya enviado la tarea.

Preguntas frecuentes sobre Claude Opus

¿Cuándo conviene elegir Opus sobre Sonnet?

Elige Opus cuando la profundidad analítica y la deliberación rigurosa pesen más que la velocidad de respuesta pura.

¿Qué ventana de contexto tiene?

Cuenta con una ventana de contexto de 200.000 tokens con retención perfecta de información en todo el rango.

Explore the Claude Fable API →Anthropic's other flagship reasoning line — Claude Fable 5.1 and Claude Fable 5, with 1M-token context.Compare Against GPT 6 Astra →See how Claude Opus stacks up against OpenAI's flagship reasoning model, also on Muapi.Browse every LLM on Muapi →Compare Claude Opus against Gemini, GPT, Grok, DeepSeek, and every other language model in the Muapi catalog.

Ready to build with Claude Opus?

Crea una clave de API de Muapi y conecta todos los niveles activos de Claude Opus a tu producto mediante una llamada REST estándar o un flujo SSE en tiempo real.

Get an API Key Try Claude Opus 5.5 in Playground