Grok 4.3 for Architecture: 4-Hour Meeting Transcription

Grok 4.3 has been replaced by Grok 4.7

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Grok 4.7 pricing →  ·  All recent pricing changes

Complete Analysis: 963,800 tokens for Grok 4.3
🎧 240min Audio ⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for xAI's Grok 4.3 model with 240min Audio, 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.068880 (rounded ~ $1.07) Total Cost
963,800 Total Tokens
31 minutes, 49.25 seconds Processing Time
505 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Grok 4.3

xAIMax Context: 1,000,000 tokens
$1.25 / $2.5 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.960800 Input Cost
$0.012000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
963,800Total Tokens
$0.001109Cost per 1K
901,691Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

31m 49s Processing Time
520 Tokens/Second
190ms Time to First Token
505 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization

Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking

Manual thinking tokens (billed at output rate)

🔧 Special Modes


📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Grok 4.3 xAI 1000000 🏔️ Context Cliff

$1.068880 (rounded ~ $1.07)
Total Cost
🎧 240min Audio ⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.933600 (rounded ~ $1.93) Input: $1.921600 (rounded ~ $1.92)
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $1.068880 (rounded ~ $1.07) Input: $1.921600 (rounded ~ $1.92)
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.864720 (rounded ~ $0.86) 44.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
460,800 tokens
📊 Batch API
20.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>200,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 200,000)

Multimodal Input Details

🎧 Audio
Duration: 240 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 3,000 output tokens:

  • Input Cost: $1.921600 (rounded ~ $1.92)
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Total Cost: $1.068880 (rounded ~ $1.07)
  • Cost per 1K tokens: $0.001109
  • Tokens per dollar: 901,691 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 520 tokens per second and 190ms time to first token:

  • Processing Time: 31 minutes, 49.25 seconds
  • Latency: 190 milliseconds to first token
  • Base Throughput: 520 tokens/second
  • Effective Throughput: 505 tokens/second (temperature-adjusted)

Best Use Cases

Best for architecture and design meetings where transcriptions must be linked to project documentationtechnical action itemsand design specifications.

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✨ Market Recommendations AI Model Registry

← Back to Grok 4.3
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 3,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Audio: 240 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Grok 4.3
🏆 Gemini 3.1 Flash Lite
Google
$0.034153 (rounded ~ $0.03) Best Value ↓ 96.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.041508 (rounded ~ $0.04) ↓ 96.1% cheaper
🥉 Gemini 2.5 Flash
Google
$0.041508 (rounded ~ $0.04) ↓ 96.1% cheaper
#4 Gemini 3.8 Flash
Google
$0.101895 (rounded ~ $0.10) ↓ 90.5% cheaper
#5 Gemini 3.6 Flash
Google
$0.101895 (rounded ~ $0.10) ↓ 90.5% cheaper
#6 Gemini 4 Argon
Google
$0.271720 (rounded ~ $0.27) ↓ 74.6% cheaper
#7 Gemini 3.1 Flash
Google
$0.273220 (rounded ~ $0.27) ↓ 74.4% cheaper
#8 Gemini 2.5 Pro
Google
$0.683050 (rounded ~ $0.68) ↓ 36.1% cheaper
#9 Gemini 2.5 Pro
Google
$0.683050 (rounded ~ $0.68) ↓ 36.1% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.034153 (rounded ~ $0.03)
vs Grok 4.3: ↓ 96.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.041508 (rounded ~ $0.04)
vs Grok 4.3: ↓ 96.1%
🥉

Gemini 2.5 Flash
Google

$0.041508 (rounded ~ $0.04)
vs Grok 4.3: ↓ 96.1%
#4

Gemini 3.8 Flash
Google

$0.101895 (rounded ~ $0.10)
vs Grok 4.3: ↓ 90.5%
#5

Gemini 3.6 Flash
Google

$0.101895 (rounded ~ $0.10)
vs Grok 4.3: ↓ 90.5%
#6

Gemini 4 Argon
Google

$0.271720 (rounded ~ $0.27)
vs Grok 4.3: ↓ 74.6%
#7

Gemini 3.1 Flash
Google

$0.273220 (rounded ~ $0.27)
vs Grok 4.3: ↓ 74.4%
#8

Gemini 2.5 Pro
Google

$0.683050 (rounded ~ $0.68)
vs Grok 4.3: ↓ 36.1%
#9

Gemini 2.5 Pro
Google

$0.683050 (rounded ~ $0.68)
vs Grok 4.3: ↓ 36.1%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Streamlining Architectural Project Documentation

Transcription in the architecture and design sector presents unique challenges, primarily the need to capture technical terminology, specific material references, and nuanced project constraints discussed during long-form client or contractor meetings. Grok 4.3 offers distinct advantages for these technical, high-context scenarios.

The model’s ability to handle integrated audio input allows for end-to-end processing of project meetings without the need for fragmented external transcription services. By leveraging Grok’s native audio capabilities, architecture firms can ensure that technical jargon and project-specific nomenclature are processed within the same latent space as the firm’s existing design specifications and meeting notes. This consistency is vital for maintaining the integrity of building information modeling (BIM) data and meeting minutes.

For engineers tasked with building these systems, Grok 4.3 functions as a robust, multimodal agent capable of linking audio logs to project management tools. Unlike generic transcription solutions, Grok’s architecture supports complex reasoning, enabling the agent to not only transcribe the conversation but also summarize key action items, flag design conflicts mentioned in the meeting, and update status logs directly.

When planning for 4-hour meeting blocks, consider that Grok’s integration capabilities reduce the friction of multi-step processing pipelines. While the model is positioned for high-reasoning tasks, its utility in specialized domains like architecture is significant. It serves well where the transcription is merely the first step in a workflow that includes rigorous technical extraction and documentation.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does audio billing work?
Audio models are billed by token, not by minute. Voxtral Small 24B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, matching Mistral Small 3. GPT Realtime Mini uses standard token billing. There are no silence keep-alive surcharges or per-minute duration fees on either provider.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.