Claude 4.6 Opus vs GPT-5.3 Codex: The New 2026 Coding Standard

Claude Opus 4.6 vs GPT-5.3 Codex
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode (Custom field comparison)

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

Comparison Criteria Claude Opus 4.6
Anthropic
GPT-5.3 Codex
OpenAI
Input Parameters Applied
Input Tokens 1,000,000 1,000,000
Output Tokens 1,000,000 1,000,000
Calculation Results
Input Cost $10.000000 Worst $5.000000 Best
Output Cost $37.500000 Worst $25.000000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $47.550000 Most Expensive $30.050000 Best Value
Processing Time 2 hours, 7 minutes, 23.00 seconds Slowest 1 hour, 11 minutes, 20.00 seconds Fastest
Tokens per Second 280 Slowest 500 Fastest
Time to First Token 380ms Worst 200ms Best
Cost per 1K tokens $0.023775 (rounded ~ 0.02) Worst $0.015025 (rounded ~ 0.02) Best
Tokens per Dollar 42,061 Worst Value 66,556 Best Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $10.000000 Worst $5.000000 Best
Output Cost / 1M (Base) $37.500000 Worst $25.000000 Best
Input Cost / 1M (Optimized) $10.000000 Worst
Optimizations: No optimizations applied
$5.000000 Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $37.500000 Worst
Optimizations: No optimizations applied
$25.000000 Best
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✗ Not Supported
Batch API Support Available ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

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Second Model

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All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.

Select AI Model

Claude Opus 4.6
AnthropicMax Context: 1,000,000 tokens
Input: $5.000000 / 1M
Output: $25.000000 / 1M
State-dependent pricing active. Current tier: Standard

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$47.550000Total Cost
$10.000000Input Cost
$37.500000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,000,000Total Tokens
$0.023775Cost per 1K
42,061Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
127m 23sProcessing Time
280Tokens/Second
380msTime to First Token
262Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 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

$47.550000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
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

Base Cost (No Optimizations) $47.550000 Input: $10.000000
Output: $37.500000
Optimized Cost $47.550000 Input: $10.000000
Output: $37.500000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

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

  • Input Cost: $10.000000
  • Output Cost: $37.500000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $47.550000
  • Cost per 1K tokens: $0.023775 (rounded ~ 0.02)
  • Tokens per dollar: 42,061 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, 7 minutes, 23.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 262 tokens/second

Best Use Cases

Architectural DesignCI/CDLegacy Migration

GPT-5.3 Codex OpenAI

$30.050000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $30.050000 Input: $5.000000
Output: $25.000000
Optimized Cost $30.050000 Input: $5.000000
Output: $25.000000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

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

  • Input Cost: $5.000000
  • Output Cost: $25.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $30.050000
  • Cost per 1K tokens: $0.015025 (rounded ~ 0.02)
  • Tokens per dollar: 66,556 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 1 hour, 11 minutes, 20.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second

Best Use Cases

Architectural DesignCI/CDLegacy Migration

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Architectural Engineering with AI

The newest flagships from Anthropic and OpenAI target the top 1% of engineering tasks. Claude 4.6 Opus ($30.00 for 1M/1M) offers unmatched empathy and architectural nuance, while GPT-5.3 Codex is a specialized powerhouse for high-density codebase refactoring. Both models support massive context, but GPT-5.3 Codex is uniquely tuned for multi-file dependency management and automated CI/CD pipeline optimization.

Inference and Latency

Opus 4.6 provides a slightly more ‘human’ pair-programming experience with refined explanations. GPT-5.3 Codex is built for raw speed in large repositories, handling complex boilerplate generation and deep debugging at 60 tokens per second. For teams migrating legacy banking systems to modern stacks, the $30 investment in Opus often saves weeks of manual code review time.

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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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.