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Grok 4.5 Multimodal Reasoning: AI Large Language Models

Analyze images, solve logic puzzles, and browse the live web with Grok 4.5 on Muapi. High-performance reasoning. Try free, pay per generation. Grok 4.5 is a highly capable multimodal reasoning model, supporting mixed text/image inputs, adjustable reasoning effort, and integrated web search tools. Token-based pricing: $1.60/M input tokens, $4.80/M output tokens. Two endpoints: standard async (/grok-4-5) and live streaming (/grok-4-5/stream) via SSE.

Interactive model controls

Grok 4.5 is a highly capable multimodal reasoning model, supporting mixed text/image inputs, adjustable reasoning effort, and integrated web search tools. Token-based pricing: $1.60/M input tokens, $4.80/M output tokens. Two endpoints: standard async (/grok-4-5) and live streaming (/grok-4-5/stream) via SSE.

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Overview

About this model

Grok 4.5 is xAI’s powerful conversational reasoning model, engineered to deliver advanced multimodal analysis, adjustable reasoning depth, and built-in web search capabilities. It accepts mixed text and image inputs and supports structured JSON outputs, making it ideal for software development, technical research, and real-time knowledge queries. On Muapi, the standard async (/grok-4-5) and live streaming (/grok-4-5/stream) endpoints are billed per token, saving you up to 50% compared to typical API rates.

1Software Engineering: Answer complex coding queries, debug, and explain algorithms.
2Multimodal Analysis: Ask questions about diagrams, screenshots, and visual assets.
3Real-time Fact Retrieval: Use integrated web search to retrieve current news and information.
4Complex Reasoning: Toggle reasoning depth up to xhigh for thorough problem-solving.
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Pricing & Value

Cost analysis

muapiapp$1.60/M input tokens, $4.80/M output tokens

Token-based billing. Minimum $0.0001 per call. Up to 50% cheaper than direct enterprise subscriptions.

xAI (official)$1.60/M input tokens, $4.80/M output tokens

Standard retail pricing tier.

** 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.

Default ValueSolve this complex math puzzle step by step.
Image URLstring

Optional image URL for multimodal requests.

Default Valueundefined
System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are an expert tutor.
Reasoning EffortEnum (4 options)

Reasoning effort level. Higher values provide more thorough reasoning.

Default Valuelow
Web Searchboolean

Enable web search tool for real-time information retrieval.

Default Valuefalse
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Implementation Guide

Developer documentation

Grok 4.5 Integration Guide

Submit prompts using standard async or real-time streaming Server-Sent Events (SSE).

1. Standard (Async) Endpoint

POST /api/v1/grok-4-5

Returns a request_id immediately. Poll /api/v1/predictions/{id}/result for completion status.

curl -X POST https://muapi.ai/api/grok-4-5 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Solve this complex logic puzzle step by step.",
    "reasoning_effort": "high"
  }'

2. Streaming (SSE) Endpoint

POST /api/v1/grok-4-5/stream

Returns a chunked Content-Type: text/event-stream stream of server-sent events, ending with data: [DONE].

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Common Questions

Frequently asked

Does Grok 4.5 support image inputs?

Yes, Grok 4.5 is a multimodal model. You can supply an optional image_url in the request payload to analyze screenshots, graphs, or photographs.

How is the pricing calculated for Grok 4.5 on Muapi?

Billing is token-based: input tokens cost $1.60 per million, and output tokens cost $4.80 per million. The minimum cost per request is $0.0001. Charges are automatically deducted from your account wallet balance.

Can Grok 4.5 browse the live web?

Yes. If web_search is set to true in the payload, Grok 4.5 utilizes built-in search tools to fetch the latest real-time information from the web.

What is the difference between standard and streaming routes?

The standard route runs asynchronously and returns a request ID, making it ideal for background processing and scripts. The streaming route sends Server-Sent Events (SSE) in real-time, making it best for conversational chat interfaces.