Claude Opus 4.6 vs GPT-5.2 Pro: Multimodal Logic Cost

Claude Opus 4.6 vs GPT-5.2 Pro
Complete Comparison: 10,000 input tokens × 2,000 output tokens
Comparison Mode
🖼️ 10 Images 🎧 5min Audio

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10 Images, 5min Audio.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Claude Opus 4.6
Anthropic
GPT-5.2 Pro
OpenAI
Calculation Results (Current Inputs) (10 images, 5min audio)
Input Tokens 10,000 10,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.018950 (rounded ~ $0.02)Best $0.079590Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.084000 (rounded ~ $0.08)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.031450 (rounded ~ $0.03) Best Value $0.163590 (rounded ~ $0.16) Most Expensive
Processing Time 1 minute, 3.30 seconds Slowest 50.68 seconds Fastest
Tokens per Second 280Slowest 350Fastest
Time to First Token 380ms Worst 250ms Best
Cost per 1K tokens $0.001833Best $0.009533Worst
Tokens per Dollar 545,628Best Value 104,896Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $5.250000Worst
Output Cost / 1M (Base) $6.250000Best $42.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$2.625000 (rounded ~ $2.63)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$21.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
10
✓ Supported ✓ Supported
Audio Support
5
✗ Not Supported requested ✗ Not Supported requested
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Opus 4.6
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
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

$0.031450 Total Cost
$0.018950 Input Cost
$0.012500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
17,160Total Tokens
$0.001833Cost per 1K
545,628Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 3s Processing Time
280 Tokens/Second
380ms Time to First Token
272 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
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.

Claude Opus 4.6 Anthropic 1000000

$0.031450 (rounded ~ $0.03)
Total Cost
🖼️ 10 Image (Medium) 🎧 5min Audio 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available requested
🎥
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) $0.031450 (rounded ~ $0.03) Input: $0.018950 (rounded ~ $0.02)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.031450 (rounded ~ $0.03) Input: $0.018950 (rounded ~ $0.02)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: Medium
Tokens: 5,160
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.018950 (rounded ~ $0.02)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.031450 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.001833
  • Tokens per dollar: 545,628 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: 1 minute, 3.30 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 272 tokens/second (temperature-adjusted)

Best Use Cases

R&D AnalysisStrategic PlanningComplex Vision Tasks

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.6. 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.

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GPT-5.2 Pro OpenAI

$0.163590 (rounded ~ $0.16)
Total Cost
🖼️ 10 Image (Medium) 🎧 5min Audio 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available requested
🎥
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) $0.163590 (rounded ~ $0.16) Input: $0.079590
Output: $0.084000 (rounded ~ $0.08)
Optimized Cost $0.163590 (rounded ~ $0.16) Input: $0.079590
Output: $0.084000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: Medium
Tokens: 5,160
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.079590
  • Output Cost: $0.084000 (rounded ~ $0.08)
  • Total Cost: $0.163590 (rounded ~ $0.16)
  • Cost per 1K tokens: $0.009533
  • Tokens per dollar: 104,896 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: 50.68 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 340 tokens/second (temperature-adjusted)

Best Use Cases

R&D AnalysisStrategic PlanningComplex Vision Tasks

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.2 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 Claude Opus 4.6
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Images: 10 (Medium Resolution)
Audio: 5 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6 vs GPT-5.2 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.002298 Best Value ↓ 92.7% cheaper ↓ 98.6% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.003107 ↓ 90.1% cheaper ↓ 98.1% cheaper
🥉 Grok 4.3
xAI
 $0.008988 (rounded ~ $0.01) ↓ 71.4% cheaper ↓ 94.5% cheaper
#4 Gemini 3.1 Flash
Google
 $0.009190 ↓ 70.8% cheaper ↓ 94.4% cheaper
#5 Gemini 3.5 Flash
Google
 $0.013785 (rounded ~ $0.01) ↓ 56.2% cheaper ↓ 91.6% cheaper
#6 Gemini 2.5 Pro
Google
 $0.025475 (rounded ~ $0.03) ↓ 19% cheaper ↓ 84.4% cheaper
#7 Gemini 2.5 Pro
Google
 $0.025475 (rounded ~ $0.03) ↓ 19% cheaper ↓ 84.4% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.002298
vs Claude Opus 4.6: ↓ 92.7%
vs GPT-5.2 Pro: ↓ 98.6%
🥈

Gemini 2.5 Flash
Google

$0.003107
vs Claude Opus 4.6: ↓ 90.1%
vs GPT-5.2 Pro: ↓ 98.1%
🥉

Grok 4.3
xAI

$0.008988 (rounded ~ $0.01)
vs Claude Opus 4.6: ↓ 71.4%
vs GPT-5.2 Pro: ↓ 94.5%
#4

Gemini 3.1 Flash
Google

$0.009190
vs Claude Opus 4.6: ↓ 70.8%
vs GPT-5.2 Pro: ↓ 94.4%
#5

Gemini 3.5 Flash
Google

$0.013785 (rounded ~ $0.01)
vs Claude Opus 4.6: ↓ 56.2%
vs GPT-5.2 Pro: ↓ 91.6%
#6

Gemini 2.5 Pro
Google

$0.025475 (rounded ~ $0.03)
vs Claude Opus 4.6: ↓ 19%
vs GPT-5.2 Pro: ↓ 84.4%
#7

Gemini 2.5 Pro
Google

$0.025475 (rounded ~ $0.03)
vs Claude Opus 4.6: ↓ 19%
vs GPT-5.2 Pro: ↓ 84.4%
✨ 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.

Top-Tier Multimodal Reasoning

A side-by-side comparison of the world’s most powerful models. Which one handles complex visual reasoning and audio-based instructions more cost-effectively for enterprise R&D?

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 does audio billing work?
Audio models are billed by token, not by minute. Voxtral Small 24B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, matching Mistral Small 3. GPT Realtime Mini uses standard token billing. There are no silence keep-alive surcharges or per-minute duration fees on either provider.
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.