Claude Opus 4.6 vs GPT-5.2 Pro: The IQ Showdown

Claude Opus 4.6 vs GPT-5.2 Pro
Complete Comparison: 100,000 input tokens × 50,000 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
GPT-5.2 Pro
OpenAI
Calculation Results (Current Inputs) (1 images)
Input Tokens 100,000 100,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.250645Best $0.526355 (rounded ~ 0.53)Worst
Output Cost $0.625000 (rounded ~ 0.63)Best $2.100000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.875645 (rounded ~ 0.88) Best Value $2.626355 (rounded ~ 2.63) Most Expensive
Processing Time 9 minutes, 23.00 seconds Slowest 7 minutes, 30.00 seconds Fastest
Tokens per Second 280Slowest 350Fastest
Time to First Token 380ms Worst 250ms Best
Cost per 1K tokens $0.005828 (rounded ~ 0.01)Best $0.017479 (rounded ~ 0.02)Worst
Tokens per Dollar 171,597Best Value 57,212Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Best $5.250000Worst
Output Cost / 1M (Base) $12.500000Best $42.000000Worst
Input Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$2.625000 (rounded ~ 2.63)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $6.250000Best
Optimizations: 50.0% batch
$21.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Second Model

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All other parameters will be preserved from the current comparison.

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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

$0.875645 Total Cost
$0.250645 Input Cost
$0.625000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
150,258Total Tokens
$0.005828Cost per 1K
171,597Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

9m 23s 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

$0.875645 (rounded ~ 0.88)
Total Cost
🖼️ 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) $0.875645 (rounded ~ 0.88) Input: $0.250645
Output: $0.625000 (rounded ~ 0.63)
Optimized Cost $0.875645 (rounded ~ 0.88) Input: $0.250645
Output: $0.625000 (rounded ~ 0.63)
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
📊 Cliff Pricing
Standard
standard pricing (threshold: 200,000)

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.250645
  • Output Cost: $0.625000 (rounded ~ 0.63)
  • Total Cost: $0.875645 (rounded ~ 0.88)
  • Cost per 1K tokens: $0.005828 (rounded ~ 0.01)
  • Tokens per dollar: 171,597 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: 9 minutes, 23.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 267 tokens/second (temperature-adjusted)

Best Use Cases

Executive StrategyComplex R&D

GPT-5.2 Pro OpenAI

$2.626355 (rounded ~ 2.63)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 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) $2.626355 (rounded ~ 2.63) Input: $0.526355 (rounded ~ 0.53)
Output: $2.100000
Optimized Cost $2.626355 (rounded ~ 2.63) Input: $0.526355 (rounded ~ 0.53)
Output: $2.100000
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

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.526355 (rounded ~ 0.53)
  • Output Cost: $2.100000
  • Total Cost: $2.626355 (rounded ~ 2.63)
  • Cost per 1K tokens: $0.017479 (rounded ~ 0.02)
  • Tokens per dollar: 57,212 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 7 minutes, 30.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Executive StrategyComplex R&D

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 50,000
Batch API: Enabled (50% discount)
Images: 1 (4k Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6 vs GPT-5.2 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.015013 (rounded ~ 0.02) Best Value ↓ 98.3% cheaper ↓ 99.4% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
 $0.069935 ↓ 92% cheaper ↓ 97.3% cheaper
🥉 o4-mini
OpenAI
 $0.082571 (rounded ~ 0.08) ↓ 90.6% cheaper ↓ 96.9% cheaper
#4 Mistral Large 3
Mistral AI
 $0.126129 (rounded ~ 0.13) ↓ 85.6% cheaper ↓ 95.2% cheaper
#5 GPT-5.3 Codex Spark
OpenAI
 $0.218863 (rounded ~ 0.22) ↓ 75% cheaper ↓ 91.7% cheaper
#6 Grok 5
xAI
 $0.262694 (rounded ~ 0.26) ↓ 70% cheaper ↓ 90% cheaper
#7 Gemini 3.1 Pro
Google
 $0.400258 ↓ 54.3% cheaper ↓ 84.8% cheaper
#8 GPT-5.4 Thinking
OpenAI
 $0.500323 ↓ 42.9% cheaper ↓ 80.9% cheaper
#9 Claude Sonnet 4.6
Anthropic
 $0.525387 (rounded ~ 0.53) ↓ 40% cheaper ↓ 80% cheaper
#10 o3 Deep Research
OpenAI
 $0.750645 ↓ 14.3% cheaper ↓ 71.4% cheaper
#11 o3 Pro
OpenAI
 $1.501290 (rounded ~ 1.50) ↑ 71.4% more ↓ 42.8% cheaper
#12 o3 Pro
OpenAI
 $1.501290 (rounded ~ 1.50) ↑ 71.4% more ↓ 42.8% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.015013 (rounded ~ 0.02)
vs Claude Opus 4.6: ↓ 98.3%
vs GPT-5.2 Pro: ↓ 99.4%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.069935
vs Claude Opus 4.6: ↓ 92%
vs GPT-5.2 Pro: ↓ 97.3%
🥉

o4-mini
OpenAI

$0.082571 (rounded ~ 0.08)
vs Claude Opus 4.6: ↓ 90.6%
vs GPT-5.2 Pro: ↓ 96.9%
#4

Mistral Large 3
Mistral AI

$0.126129 (rounded ~ 0.13)
vs Claude Opus 4.6: ↓ 85.6%
vs GPT-5.2 Pro: ↓ 95.2%
#5

GPT-5.3 Codex Spark
OpenAI

$0.218863 (rounded ~ 0.22)
vs Claude Opus 4.6: ↓ 75%
vs GPT-5.2 Pro: ↓ 91.7%
#6

Grok 5
xAI

$0.262694 (rounded ~ 0.26)
vs Claude Opus 4.6: ↓ 70%
vs GPT-5.2 Pro: ↓ 90%
#7

Gemini 3.1 Pro
Google

$0.400258
vs Claude Opus 4.6: ↓ 54.3%
vs GPT-5.2 Pro: ↓ 84.8%
#8

GPT-5.4 Thinking
OpenAI

$0.500323
vs Claude Opus 4.6: ↓ 42.9%
vs GPT-5.2 Pro: ↓ 80.9%
#9

Claude Sonnet 4.6
Anthropic

$0.525387 (rounded ~ 0.53)
vs Claude Opus 4.6: ↓ 40%
vs GPT-5.2 Pro: ↓ 80%
#10

o3 Deep Research
OpenAI

$0.750645
vs Claude Opus 4.6: ↓ 14.3%
vs GPT-5.2 Pro: ↓ 71.4%
#11

o3 Pro
OpenAI

$1.501290 (rounded ~ 1.50)
vs Claude Opus 4.6: ↑ 71.4%
vs GPT-5.2 Pro: ↓ 42.8%
#12

o3 Pro
OpenAI

$1.501290 (rounded ~ 1.50)
vs Claude Opus 4.6: ↑ 71.4%
vs GPT-5.2 Pro: ↓ 42.8%
✨ 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.

Cognitive Superiority

In 2026, the battle for frontier intelligence is between Claude Opus 4.6 and GPT-5.2 Pro. Opus 4.6 features ‘Adaptive Thinking’ and a massive 1M context window, making it the choice for complex strategy. GPT-5.2 Pro excels in ‘Tool-Use Reliability’ within its 128k window. If you need creative synthesis, choose Opus; for surgical precision in automation, choose GPT-5.2 Pro.

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.