Grok 4.1 Fast vs Gemini 3 Pro: Long-Context Efficiency

grok-4-1-fast vs gemini-3-pro
Complete Comparison: 2,000,000 input tokens × 20,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria grok-4-1-fast
xAI
gemini-3-pro
Google
Calculation Results (Current Inputs) (20% cached)
Input Tokens 2,000,000 N/A (Special Pricing)
Output Tokens 20,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $2.500000 N/A (Special Pricing)
Output Cost $0.050000 N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.100000 Best Value $6.920000 Most Expensive
Processing Time 43 minutes, 20.93 seconds Fastest 1 hour, 26 minutes, 41.68 seconds Slowest
Tokens per Second 800 N/A (Special Pricing)
Time to First Token 100ms Best 220ms Worst
Cost per 1K tokens $0.001040 N/A (Special Pricing)
Tokens per Dollar 961,905 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000 N/A (Special Pricing)
Output Cost / 1M (Base) $2.500000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $1.250000
Optimizations: No optimizations applied
N/A (Special Pricing)
Output Cost / 1M (Optimized) $2.500000
Optimizations: No optimizations applied
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support ✓ Supported ✓ Supported
OCR Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.

Select AI Model

Grok 4.1 Fast
xAIMax Context: 2,000,000 tokens
$1.25 / $2.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
20%
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.

Calculate Token Costs

$2.100000 Total Cost
$2.000000 Input Cost
$0.050000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,020,000Total Tokens
$0.001040Cost per 1K
961,905Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

43m 20s Processing Time
800 Tokens/Second
100ms Time to First Token
777 Effective Speed

Model Comparison

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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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 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

$2.100000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
⚡ 20% Cached 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $2.550000 Input: $2.500000
Output: $0.050000
Optimized Cost $2.100000 Input: $2.500000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 17.6% discount

Detailed Cost Analysis (from Plugin)

For 2,000,000 input tokens and 20,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.050000
  • Total Cost: $2.100000
  • Cost per 1K tokens: $0.001040
  • Tokens per dollar: 961,905 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: 43 minutes, 20.93 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 777 tokens/second (temperature-adjusted)

Best Use Cases

Big DataVideo AnalysisSocial Intelligence

Want this applied to YOUR actual stack?

This calculator shows the math for grok-4-1-fast. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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gemini-3-pro Google 2000000

$6.920000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
⚡ 20% Cached 🔧 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) $8.360000 Input: $8.000000
Output: $0.360000
Optimized Cost $6.920000 Input: $8.000000
Output: $0.360000
Unit: $0.000000
Fees: $0.000000
Total Savings $1.440000 17.2% discount

Detailed Cost Analysis (from Plugin)

For 2,000,000 input tokens and 20,000 output tokens:

  • Input Cost: $8.000000
  • Output Cost: $0.360000
  • Total Cost: $6.920000
  • Cost per 1K tokens: $0.003426
  • Tokens per dollar: 291,908 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 1 hour, 26 minutes, 41.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Big DataVideo AnalysisSocial Intelligence

Want this applied to YOUR actual stack?

This calculator shows the math for gemini-3-pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to grok-4-1-fast
📋 Active Input Parameters
Input Tokens: 2,000,000
Output Tokens: 20,000
Cached Tokens: 20%
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Processing the Digital Firehose

Comparing the cost of 2-million token context windows. Grok 4.1 Fast provides real-time X (Twitter) integration, while Gemini 3 Pro excels in multimodal video analysis. This calculator helps you decide which ‘Big Memory’ model offers the best value for massive data ingestion.

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 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.