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GLM 5.3 Flash Abliterated: AI Large Language Models

Call GLM 5.3 Flash Abliterated through one API. 1M-token context, streaming and pay-per-token pricing. Try free in the Muapi playground. GLM 5.3 Flash Abliterated is a fast GLM 5.3 Flash reasoning model with a 1M-token context window, image input and tool-calling support, modified with abliteration to reduce refusal behavior.

Interactive model controls

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

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Overview

About this model

GLM 5.3 Flash Abliterated is a fast GLM 5.3 Flash reasoning model with a 1M-token context window, image input 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, tool use and multimodal prompts. Pricing is pay-per-token at $0.4/M input tokens and $1.6/M output tokens, with no subscription. See also GLM 5.3 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 and assistants: Build conversational apps on GLM 5.3 Flash Abliterated for long-context reasoning, tool use and multimodal prompts.
2Low-refusal experimentation: Compare refusal behavior against the base model in your own evaluations, within Muapi's usage policy.
3Agents and workflows: Call the model from Muapi workflow nodes and the [abliterated LLM API](/abliterated-llm-api) hub examples.
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Pricing & Value

Cost analysis

muapiapp$0.4/M input tokens and $1.6/M output tokens

Pay-per-token, billed on actual usage with a small minimum reserved up front.

Fal.aiNot available

GLM 5.3 Flash Abliterated is not offered as a hosted endpoint.

ReplicateNot available

GLM 5.3 Flash Abliterated is not offered as a hosted endpoint.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Promptstring

The user message or instruction for the model.

Default ValueSummarize the trade-offs between a monolith and microservices in five bullet points.
Image URLstring

Optional public image URL for multimodal analysis.

Default Valueundefined
System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are a concise, direct assistant.
Max Tokensinteger

Optional maximum number of tokens to generate.

Default Value8192
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Implementation Guide

Developer documentation

How to Use GLM 5.3 Flash 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-flash-abliterated. Provide an optional public image_url to include an image with your prompt.

curl -X POST https://api.muapi.ai/api/v1/glm-5-3-flash-abliterated \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers.", "image_url": "https://example.com/photo.jpg"}'
  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-flash-abliterated/stream.
curl -X POST https://api.muapi.ai/api/v1/glm-5-3-flash-abliterated/stream \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers.", "image_url": "https://example.com/photo.jpg"}'
  1. Read the result: The generated text is returned in outputs. Usage is billed on actual token counts.
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Common Questions

Frequently asked

What is GLM 5.3 Flash Abliterated?

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

What does abliterated mean?

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

How is GLM 5.3 Flash Abliterated priced?

Billing is per token: $0.4/M input tokens and $1.6/M output tokens. A small minimum is reserved when the request starts and reconciled to actual usage.

Does GLM 5.3 Flash Abliterated support streaming?

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

What is the context window?

The context window is about 1M tokens. Prompt and output together must fit inside it; `max_tokens` is capped at 32768. Image input is supported via `image_url`.

Is output guaranteed to be unrestricted?

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.