Accede a los modelos insignia de Anthropic en MuAPI: Claude 3.5 Sonnet para razonamiento y programación de vanguardia, Claude 3 Haiku para velocidad y Claude 3 Opus para análisis profundo.Diseñados para alta precisión, baja tasa de alucinaciones y ejecución confiable de código y llamadas a herramientas (tool calling).
El modelo más capaz y ampliamente lanzado de Anthropic: ventana de contexto de 1 millón de tokens para los razonamientos más exigentes y tareas agénticas de largo alcance.
Nivel Fable de generación anterior con contexto de 1 millón de tokens, totalmente compatible con integraciones existentes.
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.
El modelo insignia de generación actual de Anthropic para programación compleja, razonamiento de largo contexto y flujos agénticos.
Prior-generation Opus flagship — complex coding, long-context reasoning, and agentic workflows.
Prior-generation Opus flagship, still fully supported for existing integrations.
Prior-generation Opus flagship, still fully supported for existing integrations.
The earliest live Opus tier on Muapi, kept available for existing integrations.
El modelo equilibrado insignia de Anthropic: la combinación óptima de coste y rendimiento puntero para código, razonamiento complejo y análisis multimodal.
Strong reasoning, advanced coding, and native computer-use functionality, with up to 1M-token context.
Alta inteligencia, velocidad y eficiencia para generación de código, redacción y análisis lógico.
El modelo más rápido y económico de Anthropic, diseñado para consultas de alta frecuencia, tareas sencillas y respuestas casi instantáneas.
Faster, more cost-efficient upgrade to Sonnet 5 for everyday coding, well-scoped agents, knowledge work, and visual understanding — at official Anthropic pricing.
Los modelos Claude de Anthropic destacan en comprensión de código complejo, redacción de matices sutiles y seguimiento estricto de directrices operativas.
A través de MuAPI, puedes conectar Claude a tus agentes de software, tuberías de análisis de datos y flujos de trabajo de atención al cliente con total estabilidad.
Claude 3.5 Sonnet ofrece capacidades excepcionales para depurar, refactorizar y escribir código en decenas de lenguajes.
Interpreta gráficos complejos, diagramas arquitectónicos, capturas de pantalla y documentos visuales con alta fidelidad.
Generación determinista de llamadas a funciones y JSON estructurado para integración limpia con tus sistemas existentes.
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| claude-fable-5-1 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $10.00/M in · $50.00/M out | Anthropic's most capable model, hardest reasoning and agentic work |
| claude-fable-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $8.00/M in · $40.00/M out | Prior-generation Fable tier, existing integrations |
| 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 |
| claude-sonnet-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $3.00/M in · $15.00/M out | Balanced cost and state-of-the-art performance |
| claude-sonnet-4-6 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $1.80/M in · $9.00/M out | Balanced tier with native computer-use support |
| claude-sonnet-4-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $1.80/M in · $9.00/M out | Prior-generation balanced tier, existing integrations |
| claude-haiku-4-5 | Prompt + optional image_url, system_prompt | Complete text response (poll for result) | $0.60/M in · $3.00/M out | High-frequency queries and simple tasks |
Minimum $0.0006 per call across every Claude model. Actual cost is deducted after each call based on token counts returned by the model. Every model also exposes a /stream endpoint at the same price.
Envía una solicitud JSON con tu clave de API de Muapi, guarda el ID de la solicitud y consulta el endpoint de resultados compartido, o invoca la variante /stream para un flujo continuo de tokens por SSE. La estructura de la solicitud es idéntica en todos los modelos Claude.
curl -X POST https://api.muapi.ai/api/v1/claude-fable-5-1 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Research and compare three architectures for this system, citing tradeoffs.","system_prompt":"You are a precise principal engineer."}'
# Response: {"request_id":"REQUEST_ID"}Invoca claude-fable-5-1 con una indicación y, opcionalmente, un system_prompt y una 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.
Consulta hasta que la tarea se complete, luego lee el texto generado en outputs.
curl -X POST https://api.muapi.ai/api/v1/claude-fable-5-1/stream \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Walk through a long-horizon plan for this migration, step by step."}'
# Response: a stream of SSE chunks, one per line:
# data: {"choices":[{"delta":{"content":"Here"}}]}
# data: {"choices":[{"delta":{"content":" is"}}]}
# data: [DONE]Call claude-fable-5-1/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-5-5 \
-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.","image_url":"https://example.com/diff-screenshot.png"}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on Anthropic's flagship coding 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 submitted the task.
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 for live SSE token output.
curl -X POST https://api.muapi.ai/api/v1/claude-sonnet-5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Write a unit test suite for this function.","image_url":"https://example.com/function-screenshot.png"}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on Anthropic's balanced 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.
curl -X POST https://api.muapi.ai/api/v1/claude-sonnet-5/stream \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Explain this error message and how to fix it."}'
# Response: a stream of SSE chunks, one per line:
# data: {"choices":[{"delta":{"content":"Here"}}]}
# data: {"choices":[{"delta":{"content":" is"}}]}
# data: [DONE]Call claude-sonnet-5/stream for live SSE token output.
curl -X POST https://api.muapi.ai/api/v1/claude-haiku-4-5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Classify this support ticket by urgency and category."}'
# Response: {"request_id":"REQUEST_ID"}Same request shape on Anthropic's fastest, cheapest 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.
curl -X POST https://api.muapi.ai/api/v1/claude-haiku-4-5/stream \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Give a one-sentence summary of this paragraph."}'
# Response: a stream of SSE chunks, one per line:
# data: {"choices":[{"delta":{"content":"Here"}}]}
# data: {"choices":[{"delta":{"content":" is"}}]}
# data: [DONE]Call claude-haiku-4-5/stream for live SSE token output.
Claude 3.5 Sonnet es ideal para la gran mayoría de tareas por su equilibrio perfecto entre velocidad e inteligencia. Claude 3 Haiku es la mejor opción para respuestas instantáneas de bajo costo.
Sí, todos los modelos de Claude en MuAPI admiten streaming de tokens en tiempo real a través de Server-Sent Events (SSE).
Aprovecha el poder intelectual de Claude 3.5 Sonnet mediante una API confiable y lista para producción.