o3 Pro vs Claude Opus 4.6: Scientific Vision Reasoning

o3 Pro vs Claude Opus 4.6
Complete Comparison: 20,000 input tokens × 10,000 output tokens
Comparison Mode
🖼️ 10 Images

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

🖼️ Multimodal Input
Comparison Criteria o3 Pro
OpenAI
Claude Opus 4.6
Anthropic
Calculation Results (Current Inputs) (10 images)
Input Tokens 20,000 20,000
Output Tokens 10,000 10,000
Cost Breakdown
Input Cost $0.503200 (rounded ~ 0.50)Worst $0.125800 (rounded ~ 0.13)Best
Output Cost $0.800000Worst $0.250000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.303200 (rounded ~ 1.30) Most Expensive $0.375800 (rounded ~ 0.38) Best Value
Processing Time 1 minute, 41.00 seconds Fastest 2 minutes, 7.00 seconds Slowest
Tokens per Second 350Fastest 280Slowest
Time to First Token 300ms Best 380ms Worst
Cost per 1K tokens $0.037065 (rounded ~ 0.04)Worst $0.010688Best
Tokens per Dollar 26,980Worst Value 93,560Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $20.000000Worst $5.000000Best
Output Cost / 1M (Base) $80.000000Worst $25.000000Best
Input Cost / 1M (Optimized) $20.000000Worst
Optimizations: No optimizations applied
$5.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $80.000000Worst
Optimizations: No optimizations applied
$25.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support
10
✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

o3 Pro
OpenAIMax Context: 200,000 tokens
$20 / $80 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

$1.303200 Total Cost
$0.503200 Input Cost
$0.800000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
35,160Total Tokens
$0.037065Cost per 1K
26,980Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 41s Processing Time
350 Tokens/Second
300ms Time to First Token
347 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
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.

o3 Pro OpenAI

$1.303200 (rounded ~ 1.30)
Total Cost
🖼️ 10 Image (Medium) 🔧 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) $1.303200 (rounded ~ 1.30) Input: $0.503200 (rounded ~ 0.50)
Output: $0.800000
Optimized Cost $1.303200 (rounded ~ 1.30) Input: $0.503200 (rounded ~ 0.50)
Output: $0.800000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160 tokens

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.503200 (rounded ~ 0.50)
  • Output Cost: $0.800000
  • Total Cost: $1.303200 (rounded ~ 1.30)
  • Cost per 1K tokens: $0.037065 (rounded ~ 0.04)
  • Tokens per dollar: 26,980 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 300ms time to first token:

  • Processing Time: 1 minute, 41.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 347 tokens/second (temperature-adjusted)

Best Use Cases

Bio-informaticsChemistry ResearchPhysics Simulation

Claude Opus 4.6 Anthropic 1000000

$0.375800 (rounded ~ 0.38)
Total Cost
🖼️ 10 Image (Medium) 🔧 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) $0.375800 (rounded ~ 0.38) Input: $0.125800 (rounded ~ 0.13)
Output: $0.250000
Optimized Cost $0.375800 (rounded ~ 0.38) Input: $0.125800 (rounded ~ 0.13)
Output: $0.250000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160 tokens
📊 Cliff Pricing
Standard
standard pricing (threshold: 200,000)

Multimodal Input Details

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

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.125800 (rounded ~ 0.13)
  • Output Cost: $0.250000
  • Total Cost: $0.375800 (rounded ~ 0.38)
  • Cost per 1K tokens: $0.010688
  • Tokens per dollar: 93,560 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 minutes, 7.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 277 tokens/second (temperature-adjusted)

Best Use Cases

Bio-informaticsChemistry ResearchPhysics Simulation

✨ Market Recommendations AI Model Registry

← Back to o3 Pro
📋 Active Input Parameters
Input Tokens: 20,000
Output Tokens: 10,000
Images: 10 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Pro vs Claude Opus 4.6
🏆 Mistral Small 3
Mistral AI
 $0.005516 (rounded ~ 0.01) Best Value ↓ 99.6% cheaper ↓ 98.5% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.006516 (rounded ~ 0.01) ↓ 99.5% cheaper ↓ 98.3% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.018247 (rounded ~ 0.02) ↓ 98.6% cheaper ↓ 95.1% cheaper
#4 o4-mini Deep Research
OpenAI
 $0.065160 (rounded ~ 0.07) ↓ 95% cheaper ↓ 82.7% cheaper
#5 o4-mini
OpenAI
 $0.071676 (rounded ~ 0.07) ↓ 94.5% cheaper ↓ 80.9% cheaper
#6 Mistral Large 3
Mistral AI
 $0.114320 (rounded ~ 0.11) ↓ 91.2% cheaper ↓ 69.6% cheaper
#7 Gemini 3.1 Pro
Google
 $0.170320 ↓ 86.9% cheaper ↓ 54.7% cheaper
#8 GPT-5.3 Codex Spark
OpenAI
 $0.184030 (rounded ~ 0.18) ↓ 85.9% cheaper ↓ 51% cheaper
#9 GPT-5.4 Thinking
OpenAI
 $0.212900 (rounded ~ 0.21) ↓ 83.7% cheaper ↓ 43.3% cheaper
#10 Claude Sonnet 4.6
Anthropic
 $0.225480 (rounded ~ 0.23) ↓ 82.7% cheaper ↓ 40% cheaper
#11 Grok 5
xAI
 $0.225480 (rounded ~ 0.23) ↓ 82.7% cheaper ↓ 40% cheaper
#12 Claude Opus 4.6
Anthropic
 $0.375800 (rounded ~ 0.38) ↓ 71.2% cheaper Same price
#13 o3 Deep Research
OpenAI
 $0.651600 (rounded ~ 0.65) ↓ 50% cheaper ↑ 73.4% more
#14 GPT-5.2 Pro
OpenAI
 $2.208360 (rounded ~ 2.21) ↑ 69.5% more ↑ 487.6% more
#15 GPT-5.2 Pro
OpenAI
 $2.208360 (rounded ~ 2.21) ↑ 69.5% more ↑ 487.6% more
🏆

Mistral Small 3
Mistral AI

$0.005516 (rounded ~ 0.01)
vs o3 Pro: ↓ 99.6%
vs Claude Opus 4.6: ↓ 98.5%
🥈

Gemini 3.1 Flash Lite
Google

$0.006516 (rounded ~ 0.01)
vs o3 Pro: ↓ 99.5%
vs Claude Opus 4.6: ↓ 98.3%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.018247 (rounded ~ 0.02)
vs o3 Pro: ↓ 98.6%
vs Claude Opus 4.6: ↓ 95.1%
#4

o4-mini Deep Research
OpenAI

$0.065160 (rounded ~ 0.07)
vs o3 Pro: ↓ 95%
vs Claude Opus 4.6: ↓ 82.7%
#5

o4-mini
OpenAI

$0.071676 (rounded ~ 0.07)
vs o3 Pro: ↓ 94.5%
vs Claude Opus 4.6: ↓ 80.9%
#6

Mistral Large 3
Mistral AI

$0.114320 (rounded ~ 0.11)
vs o3 Pro: ↓ 91.2%
vs Claude Opus 4.6: ↓ 69.6%
#7

Gemini 3.1 Pro
Google

$0.170320
vs o3 Pro: ↓ 86.9%
vs Claude Opus 4.6: ↓ 54.7%
#8

GPT-5.3 Codex Spark
OpenAI

$0.184030 (rounded ~ 0.18)
vs o3 Pro: ↓ 85.9%
vs Claude Opus 4.6: ↓ 51%
#9

GPT-5.4 Thinking
OpenAI

$0.212900 (rounded ~ 0.21)
vs o3 Pro: ↓ 83.7%
vs Claude Opus 4.6: ↓ 43.3%
#10

Claude Sonnet 4.6
Anthropic

$0.225480 (rounded ~ 0.23)
vs o3 Pro: ↓ 82.7%
vs Claude Opus 4.6: ↓ 40%
#11

Grok 5
xAI

$0.225480 (rounded ~ 0.23)
vs o3 Pro: ↓ 82.7%
vs Claude Opus 4.6: ↓ 40%
#12

Claude Opus 4.6
Anthropic

$0.375800 (rounded ~ 0.38)
vs o3 Pro: ↓ 71.2%
vs Claude Opus 4.6: Same
#13

o3 Deep Research
OpenAI

$0.651600 (rounded ~ 0.65)
vs o3 Pro: ↓ 50%
vs Claude Opus 4.6: ↑ 73.4%
#14

GPT-5.2 Pro
OpenAI

$2.208360 (rounded ~ 2.21)
vs o3 Pro: ↑ 69.5%
vs Claude Opus 4.6: ↑ 487.6%
#15

GPT-5.2 Pro
OpenAI

$2.208360 (rounded ~ 2.21)
vs o3 Pro: ↑ 69.5%
vs Claude Opus 4.6: ↑ 487.6%
✨ 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.

Frontier Science Multimodal Comparison

Comparing the ability of o3 Pro and Claude Opus 4.6 to interpret complex scientific diagrams, molecular structures, and lab data visualizations.

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.