Scientific Paper Fact-Checking: Claude Opus 4.6 (Tier 2)

Claude Opus 4.6 vs o3 Pro
Complete Comparison: 100,000 input tokens × 20,000 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.6
Anthropic
o3 Pro
OpenAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens 100,000 100,000
Output Tokens 20,000 20,000
Cost Breakdown
Input Cost $0.250000Best $0.500000Worst
Output Cost $0.250000Best $0.400000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.428750 (rounded ~ 0.43) Best Value $0.765000 (rounded ~ 0.77) Most Expensive
Processing Time 7 minutes, 38.00 seconds Slowest 6 minutes, 7.00 seconds Fastest
Tokens per Second 280Slowest 350Fastest
Time to First Token 380ms Worst 300ms Best
Cost per 1K tokens $0.003573 (rounded ~ 0.00)Best $0.006375 (rounded ~ 0.01)Worst
Tokens per Dollar 279,883Best Value 156,863Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Best $5.000000Worst
Output Cost / 1M (Base) $12.500000Best $20.000000Worst
Input Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$2.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $6.250000Best
Optimizations: 50.0% batch
$10.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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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)
30%
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

$0.428750 Total Cost
$0.175000 Input Cost
$0.250000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.003573Cost per 1K
279,883Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

7m 38s Processing Time
280 Tokens/Second
380ms Time to First Token
262 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

$0.428750 (rounded ~ 0.43)
Total Cost
⚡ 30% Cached 📊 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) $0.500000 Input: $0.250000
Output: $0.250000
Optimized Cost $0.428750 (rounded ~ 0.43) Input: $0.250000
Output: $0.250000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.071250 (rounded ~ 0.07) 14.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 200,000)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.250000
  • Total Cost: $0.428750 (rounded ~ 0.43)
  • Cost per 1K tokens: $0.003573 (rounded ~ 0.00)
  • Tokens per dollar: 279,883 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: 7 minutes, 38.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 262 tokens/second (temperature-adjusted)

Best Use Cases

Verifying citations and mathematical claims in research.

o3 Pro OpenAI

$0.765000 (rounded ~ 0.77)
Total Cost
⚡ 30% Cached 📊 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) $0.900000 Input: $0.500000
Output: $0.400000
Optimized Cost $0.765000 (rounded ~ 0.77) Input: $0.500000
Output: $0.400000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.135000 (rounded ~ 0.14) 15.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.400000
  • Total Cost: $0.765000 (rounded ~ 0.77)
  • Cost per 1K tokens: $0.006375 (rounded ~ 0.01)
  • Tokens per dollar: 156,863 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: 6 minutes, 7.00 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

Verifying citations and mathematical claims in research.

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6 vs o3 Pro
🏆 Mistral Small 3
Mistral AI
 $0.003325 (rounded ~ 0.00) Best Value ↓ 99.2% cheaper ↓ 99.6% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.007650 (rounded ~ 0.01) ↓ 98.2% cheaper ↓ 99% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.038250 (rounded ~ 0.04) ↓ 91.1% cheaper ↓ 95% cheaper
#4 o4-mini
OpenAI
 $0.042075 (rounded ~ 0.04) ↓ 90.2% cheaper ↓ 94.5% cheaper
#5 Mistral Large 3
Mistral AI
 $0.066500 (rounded ~ 0.07) ↓ 84.5% cheaper ↓ 91.3% cheaper
#6 GPT-5.3 Codex Spark
OpenAI
 $0.101938 (rounded ~ 0.10) ↓ 76.2% cheaper ↓ 86.7% cheaper
#7 Grok 5
xAI
 $0.129750 ↓ 69.7% cheaper ↓ 83% cheaper
#8 Gemini 3.1 Pro
Google
 $0.193000 (rounded ~ 0.19) ↓ 55% cheaper ↓ 74.8% cheaper
#9 GPT-5.4 Thinking
OpenAI
 $0.241250 (rounded ~ 0.24) ↓ 43.7% cheaper ↓ 68.5% cheaper
#10 Claude Sonnet 4.6
Anthropic
 $0.257250 (rounded ~ 0.26) ↓ 40% cheaper ↓ 66.4% cheaper
#11 o3 Deep Research
OpenAI
 $0.382500 (rounded ~ 0.38) ↓ 10.8% cheaper ↓ 50% cheaper
#12 o3 Pro
OpenAI
 $0.765000 (rounded ~ 0.77) ↑ 78.4% more Same price
#13 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 185.3% more ↑ 59.9% more
#14 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 185.3% more ↑ 59.9% more
🏆

Mistral Small 3
Mistral AI

$0.003325 (rounded ~ 0.00)
vs Claude Opus 4.6: ↓ 99.2%
vs o3 Pro: ↓ 99.6%
🥈

Gemini 3.1 Flash Lite
Google

$0.007650 (rounded ~ 0.01)
vs Claude Opus 4.6: ↓ 98.2%
vs o3 Pro: ↓ 99%
🥉

o4-mini Deep Research
OpenAI

$0.038250 (rounded ~ 0.04)
vs Claude Opus 4.6: ↓ 91.1%
vs o3 Pro: ↓ 95%
#4

o4-mini
OpenAI

$0.042075 (rounded ~ 0.04)
vs Claude Opus 4.6: ↓ 90.2%
vs o3 Pro: ↓ 94.5%
#5

Mistral Large 3
Mistral AI

$0.066500 (rounded ~ 0.07)
vs Claude Opus 4.6: ↓ 84.5%
vs o3 Pro: ↓ 91.3%
#6

GPT-5.3 Codex Spark
OpenAI

$0.101938 (rounded ~ 0.10)
vs Claude Opus 4.6: ↓ 76.2%
vs o3 Pro: ↓ 86.7%
#7

Grok 5
xAI

$0.129750
vs Claude Opus 4.6: ↓ 69.7%
vs o3 Pro: ↓ 83%
#8

Gemini 3.1 Pro
Google

$0.193000 (rounded ~ 0.19)
vs Claude Opus 4.6: ↓ 55%
vs o3 Pro: ↓ 74.8%
#9

GPT-5.4 Thinking
OpenAI

$0.241250 (rounded ~ 0.24)
vs Claude Opus 4.6: ↓ 43.7%
vs o3 Pro: ↓ 68.5%
#10

Claude Sonnet 4.6
Anthropic

$0.257250 (rounded ~ 0.26)
vs Claude Opus 4.6: ↓ 40%
vs o3 Pro: ↓ 66.4%
#11

o3 Deep Research
OpenAI

$0.382500 (rounded ~ 0.38)
vs Claude Opus 4.6: ↓ 10.8%
vs o3 Pro: ↓ 50%
#12

o3 Pro
OpenAI

$0.765000 (rounded ~ 0.77)
vs Claude Opus 4.6: ↑ 78.4%
vs o3 Pro: Same
#13

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs Claude Opus 4.6: ↑ 185.3%
vs o3 Pro: ↑ 59.9%
#14

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs Claude Opus 4.6: ↑ 185.3%
vs o3 Pro: ↑ 59.9%
✨ 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.

Verifying citations and mathematical claims in research.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.