Claude Opus 4.6 vs Gemini 3.1 Pro: Expert Nuance

Claude Opus 4.6 vs Gemini 3.1 Pro
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode
🖼️ 1 Image

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Claude Opus 4.6
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (1 images)
Input Tokens 1,000,000 1,000,000
Output Tokens 1,000,000 1,000,000
Cost Breakdown
Input Cost $5.001290 (rounded ~ 5.00)Worst $2.000516Best
Output Cost $18.750000Worst $9.000000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $23.751290 (rounded ~ 23.75) Most Expensive $11.000516 Best Value
Processing Time 2 hours, 5 minutes, 1.00 second Slowest 1 hour, 27 minutes, 30.00 seconds Fastest
Tokens per Second 280Slowest 400Fastest
Time to First Token 380ms Worst 220ms Best
Cost per 1K tokens $0.011874 (rounded ~ 0.01)Worst $0.005500 (rounded ~ 0.01)Best
Tokens per Dollar 84,217Worst Value 181,833Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $2.000000Best
Output Cost / 1M (Base) $18.750000Worst $9.000000Best
Input Cost / 1M (Optimized) $2.500000Worst
Optimizations: 50.0% batch
$1.000000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $9.375000 (rounded ~ 9.38)Worst
Optimizations: 50.0% batch
$4.500000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✓ 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 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Opus 4.6
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
Use Batch API (50% discount)
0%
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

$5.001290 Input Cost
$18.750000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,258Total Tokens
$0.011874Cost per 1K
84,217Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

125m 1s Processing Time
280 Tokens/Second
380ms Time to First Token
267 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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.

Claude Opus 4.6 Anthropic 1000000 🏔️ Context Cliff

$23.751290 (rounded ~ 23.75)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1 Image (4k) 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $23.751290 (rounded ~ 23.75) Input: $5.001290 (rounded ~ 5.00)
Output: $18.750000
Optimized Cost $23.751290 (rounded ~ 23.75) Input: $5.001290 (rounded ~ 5.00)
Output: $18.750000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% 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

🖼️ Images
Count: 1
Resolution: 4k
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $5.001290 (rounded ~ 5.00)
  • Output Cost: $18.750000
  • Total Cost: $23.751290 (rounded ~ 23.75)
  • Cost per 1K tokens: $0.011874 (rounded ~ 0.01)
  • Tokens per dollar: 84,217 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 2 hours, 5 minutes, 1.00 second
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 267 tokens/second (temperature-adjusted)

Best Use Cases

Legal StrategyTechnical Auditing

Gemini 3.1 Pro Google 2000000

$11.000516
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
🖼️ 1 Image (4k) 📊 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) $11.000516 Input: $2.000516
Output: $9.000000
Optimized Cost $11.000516 Input: $2.000516
Output: $9.000000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 4k
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $2.000516
  • Output Cost: $9.000000
  • Total Cost: $11.000516
  • Cost per 1K tokens: $0.005500 (rounded ~ 0.01)
  • Tokens per dollar: 181,833 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, 27 minutes, 30.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Legal StrategyTechnical Auditing

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.6
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Batch API: Enabled (50% discount)
Images: 1 (4k Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6 vs Gemini 3.1 Pro
🏆 Grok 5
xAI
$4.500194 Best Value ↓ 81.1% cheaper ↓ 59.1% cheaper
🥈 Grok 5
xAI
$4.500194 ↓ 81.1% cheaper ↓ 59.1% cheaper
🏆

Grok 5
xAI

$4.500194
vs Claude Opus 4.6: ↓ 81.1%
vs Gemini 3.1 Pro: ↓ 59.1%
🥈

Grok 5
xAI

$4.500194
vs Claude Opus 4.6: ↓ 81.1%
vs Gemini 3.1 Pro: ↓ 59.1%
✨ 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.

The Poet vs The Librarian

Claude Opus 4.6 is the preferred model for ‘Expert Synthesis’—taking complex, conflicting information and creating a highly readable, human-aligned strategy. Gemini 3.1 Pro acts as the ‘Ultimate Librarian,’ capable of retrieving a single fact from a thousand-page technical manual with 99.8% accuracy. For creative direction and legal strategy, use Claude. For technical auditing and multimodal data retrieval, Gemini 3.1 Pro is more cost-effective and scalable.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.