Startup MVP Launch: Real-Time Agentic Search

grok-4-1-fast vs gpt-5-nano
Complete Comparison: 1,000,000 input tokens × 50,000 output tokens
Comparison Mode (Custom field comparison)

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

Comparison Criteria grok-4-1-fast
xAI
gpt-5-nano
OpenAI
Input Parameters Applied
Input Tokens 1,000,000 1,000,000
Output Tokens 50,000 50,000
Calculation Results
Input Cost $0.200000 Best $5.000000 Worst
Output Cost $0.025000 (rounded ~ 0.03) Best $1.250000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.050000
Total Cost $0.225000 (rounded ~ 0.23) Best Value $6.300000 Most Expensive
Processing Time 23 minutes, 24.00 seconds Fastest 37 minutes, 27.00 seconds Slowest
Tokens per Second 800 Fastest 500 Slowest
Time to First Token 100ms Best 200ms Worst
Cost per 1K tokens $0.000214 Best $0.006000 (rounded ~ 0.01) Worst
Tokens per Dollar 4,666,667 Best Value 166,667 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $0.200000 Best $5.000000 Worst
Output Cost / 1M (Base) $0.500000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $0.200000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.500000 Best
Optimizations: No optimizations applied
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ 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

🔄 Compare Different AI Models

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Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Grok 4.1 Fast
xAIMax Context: 2,000,000 tokens
Input: $0.200000 / 1M
Output: $0.500000 / 1M

Calculate Token Costs

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▼
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
$0.225000Total Cost
$0.200000Input Cost
$0.025000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,050,000Total Tokens
$0.000214Cost per 1K
4,666,667Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
23m 24sProcessing Time
800Tokens/Second
100msTime to First Token
748Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 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-4-1-fast xAI 2000000

$0.225000 (rounded ~ 0.23)
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
✓ Available
0% savings

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.225000 (rounded ~ 0.23) Input: $0.200000
Output: $0.025000 (rounded ~ 0.03)
Optimized Cost $0.225000 (rounded ~ 0.23) Input: $0.200000
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 1,000,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.200000
  • Output Cost: $0.025000 (rounded ~ 0.03)
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.225000 (rounded ~ 0.23)
  • Cost per 1K tokens: $0.000214
  • Tokens per dollar: 4,666,667 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 23 minutes, 24.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second

Best Use Cases

Startup DevelopmentMarket ResearchReal-time Analytics

gpt-5-nano OpenAI

$6.300000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
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) $6.300000 Input: $5.000000
Output: $1.250000
Optimized Cost $6.300000 Input: $5.000000
Output: $1.250000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 50,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $1.250000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $6.300000
  • Cost per 1K tokens: $0.006000 (rounded ~ 0.01)
  • Tokens per dollar: 166,667 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 37 minutes, 27.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second

Best Use Cases

Startup DevelopmentMarket ResearchReal-time Analytics

Speed-to-Market Economics for AI Startups

Analyzing costs for real-time trend monitoring with Grok 4.1 Fast’s 2M token context window and web search capabilities for startup applications.

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.