GLM 5.3 Abliterated: Modelos de lenguaje grandes con IA

Accede a GLM 5.3 Abliterated mediante una sola API. Contexto de 1M tokens, streaming y precios por token. Pruébalo gratis en el área de pruebas de Muapi.

Controles interactivos del modelo

Accede a GLM 5.3 Abliterated mediante una sola API. Contexto de 1M tokens, streaming y precios por token. Pruébalo gratis en el área de pruebas de Muapi.

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Descripción general

Acerca de este modelo

GLM 5.3 Abliterated is a full-size GLM 5.3 reasoning model with a 1M-token context window and tool-calling support, modified with abliteration to reduce refusal behavior. Muapi exposes it through a single REST endpoint with async polling and Server-Sent Events streaming, so you can drop it into chat apps, agents and workflows without hosting GPUs. It is best suited to long-context reasoning and tool-using agents. Pricing is pay-per-token at $2.5/M input tokens and $4.5/M output tokens, with no subscription. See also GLM 5.3 Flash Abliterated, GLM 4.6 Derestricted v5. Browse the full lineup on the GLM Abliterated API page or the abliterated LLM API hub; related families: Gemma Abliterated API. 'Abliterated' and 'derestricted' describe modifications that reduce the model's refusal behavior. They do not guarantee unrestricted output, and you remain responsible for complying with applicable laws and the Muapi terms of use.

1Chat y asistentes: Build conversational apps on GLM 5.3 Abliterated for long-context reasoning and tool-using agents.
2Experimentación con menos negativas: Compare refusal behavior against the base model in your own evaluations, within Muapi's usage policy.
3Agentes y flujos de trabajo: Call the model from Muapi workflow nodes and the [abliterated LLM API](/abliterated-llm-api) hub examples.
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Precios y tarifas

Análisis de costes

muapiapp$2.5/M input tokens and $4.5/M output tokens

Pago por token, facturado según el uso real con una pequeña reserva mínima inicial.

Fal.aiNo disponible

GLM 5.3 Abliterated no se ofrece como endpoint alojado.

ReplicateNo disponible

GLM 5.3 Abliterated no se ofrece como endpoint alojado.

** Los precios de competidores son estimaciones basadas en arquitecturas de modelos y niveles de uso similares.

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Especificaciones técnicas

Esquema de configuración

Promptstring

.

Valor por defectoSummarize the trade-offs between a monolith and microservices in five bullet points.
Prompt del sistemastring

, .

Valor por defectoYou are a concise, direct assistant.
Máximo de tokensinteger

Optional maximum number of tokens to generate.

Valor por defecto8192
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Guía de integración

Documentación para desarrolladores

How to Use GLM 5.3 Abliterated API

  1. Get an API key: Create a key in your Muapi dashboard.

  2. Send a prompt: POST prompt (plus optional system_prompt and max_tokens, up to 32768) to /api/v1/glm-5-3-abliterated.

curl -X POST https://api.muapi.ai/api/v1/glm-5-3-abliterated \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers."}'
  1. Poll or stream: Poll GET /api/v1/predictions/{request_id}/result until status is completed, or stream tokens live from /api/v1/glm-5-3-abliterated/stream.
curl -X POST https://api.muapi.ai/api/v1/glm-5-3-abliterated/stream \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers."}'
  1. Read the result: The generated text is returned in outputs. Usage is billed on actual token counts.
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Preguntas frecuentes

Preguntas frecuentes

¿Qué es GLM 5.3 Abliterated?

GLM 5.3 Abliterated is a full-size GLM 5.3 reasoning model with a 1M-token context window and tool-calling support, modified with abliteration to reduce refusal behavior.

¿Qué significa «abliterated»?

Abliterated or derestricted models are modified to reduce refusal behavior. This lowers, but does not eliminate, refusals and does not guarantee unrestricted output.

¿Cuál es el precio de GLM 5.3 Abliterated?

Billing is per token: $2.5/M input tokens and $4.5/M output tokens. A small minimum is reserved when the request starts and reconciled to actual usage.

¿GLM 5.3 Abliterated admite streaming?

Yes. Stream tokens live from `/api/v1/glm-5-3-abliterated/stream` using Server-Sent Events, or poll the async endpoint.

¿Cuál es la ventana de contexto?

The context window is about 1M tokens. Prompt and output together must fit inside it; `max_tokens` is capped at 32768. The endpoint accepts text input only.

¿Se garantiza una salida sin restricciones?

No. Abliterated models are less likely to refuse, but behavior varies by prompt and quality can differ from the base model. Evaluate it for your use case and follow applicable laws.