Grok-4 vs Claude 4.5: Alternative Model Cost Analysis

grok-4 vs claude-opus-4.5
Complete Comparison: 30,000 input tokens × 15,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria grok-4
xAI
claude-opus-4.5
Anthropic
Input Parameters Applied
Input Tokens 30,000 30,000
Output Tokens 15,000 15,000
Calculation Results
Input Cost $0.090000 Best $0.150000 Worst
Output Cost $0.225000 (rounded ~ 0.23) Best $0.375000 (rounded ~ 0.38) Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.315000 (rounded ~ 0.32) Best Value $0.525000 (rounded ~ 0.53) Most Expensive
Processing Time 1 minute, 26.00 seconds Fastest 1 minute, 34.00 seconds Slowest
Tokens per Second 550 Fastest 500 Slowest
Time to First Token 200ms 200ms
Cost per 1K tokens $0.007000 (rounded ~ 0.01) Best $0.011667 (rounded ~ 0.01) Worst
Tokens per Dollar 142,857 Best Value 85,714 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $3.000000 Best $5.000000 Worst
Output Cost / 1M (Base) $15.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $3.000000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000 Best
Optimizations: No optimizations applied
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

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All other parameters will be preserved from the current comparison.

Select AI Model

Grok 4
xAIMax Context: 256,000 tokens
Input: $3.000000 / 1M
Output: $15.000000 / 1M

Calculate Token Costs

Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.090000Input Cost
$0.225000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
45,000Total Tokens
$0.007000Cost per 1K
142,857Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

1m 26sProcessing Time
550Tokens/Second
200msTime to First Token
524Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)

🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm

🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)

🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)

📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.

🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session

📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)

🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled

⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

grok-4 xAI

$0.315000 (rounded ~ 0.32)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.315000 (rounded ~ 0.32) Input: $0.090000
Output: $0.225000 (rounded ~ 0.23)
Optimized Cost $0.315000 (rounded ~ 0.32) Input: $0.090000
Output: $0.225000 (rounded ~ 0.23)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 30,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.090000
  • Output Cost: $0.225000 (rounded ~ 0.23)
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.315000 (rounded ~ 0.32)
  • Cost per 1K tokens: $0.007000 (rounded ~ 0.01)
  • Tokens per dollar: 142,857 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 550 tokens per second and 200ms time to first token:

  • Processing Time: 1 minute, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 550 tokens/second
  • Effective Throughput: 524 tokens/second

Best Use Cases

Alternative AIResearchBenchmarking

claude-opus-4.5 Anthropic 1000000

$0.525000 (rounded ~ 0.53)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.525000 (rounded ~ 0.53) Input: $0.150000
Output: $0.375000 (rounded ~ 0.38)
Optimized Cost $0.525000 (rounded ~ 0.53) Input: $0.150000
Output: $0.375000 (rounded ~ 0.38)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 30,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.150000
  • Output Cost: $0.375000 (rounded ~ 0.38)
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.525000 (rounded ~ 0.53)
  • Cost per 1K tokens: $0.011667 (rounded ~ 0.01)
  • Tokens per dollar: 85,714 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 1 minute, 34.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second

Best Use Cases

Alternative AIResearchBenchmarking

Alternative Provider Comparison

Comparing xAI’s Grok-4 with Anthropic’s Claude 4.5 for users seeking alternatives to OpenAI/Google ecosystems.

Alternative Model Specs

  • Grok-4: $3.00/$15.00 per 1M tokens
  • Claude 4.5: $5.00/$25.00 per 1M tokens
  • Grok: 131K context, 400 tokens/sec
  • Claude: 200K context, 300 tokens/sec
  • Both: Text-focused, limited multimodal

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.