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

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

Comparison Criteria Claude Opus 4.6
Anthropic
GPT-5.3 Codex
OpenAI
Calculation Results (Current Inputs)
Input Tokens 1,000,000 N/A (Special Pricing)
Output Tokens 1,000,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $5.000000 N/A (Special Pricing)
Output Cost $25.000000 N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $30.000000 Most Expensive $15.750000 Best Value
Processing Time 2 hours, 7 minutes, 23.04 seconds Slowest 35 minutes, 40.18 seconds Fastest
Tokens per Second 280 N/A (Special Pricing)
Time to First Token 380ms Worst 100ms Best
Cost per 1K tokens $0.015000 (rounded ~ $0.02) N/A (Special Pricing)
Tokens per Dollar 66,667 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000 N/A (Special Pricing)
Output Cost / 1M (Base) $25.000000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $5.000000
Optimizations: No optimizations applied
N/A (Special Pricing)
Output Cost / 1M (Optimized) $25.000000
Optimizations: No optimizations applied
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ 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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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

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.

Calculate Token Costs

$30.000000 Total Cost
$5.000000 Input Cost
$25.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.015000Cost per 1K
66,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

127m 23s 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
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

$30.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 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) $30.000000 Input: $5.000000
Output: $25.000000
Optimized Cost $30.000000 Input: $5.000000
Output: $25.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $5.000000
  • Output Cost: $25.000000
  • Total Cost: $30.000000
  • Cost per 1K tokens: $0.015000 (rounded ~ $0.02)
  • Tokens per dollar: 66,667 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, 23.04 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 262 tokens/second (temperature-adjusted)

Best Use Cases

Architectural DesignCI/CDLegacy Migration

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.

Get my instant AI audit — $39 →

GPT-5.3 Codex OpenAI

$15.750000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.
🔧 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) $15.750000 Input: $1.750000
Output: $14.000000
Optimized Cost $15.750000 Input: $1.750000
Output: $14.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $1.750000
  • Output Cost: $14.000000
  • Total Cost: $15.750000
  • Cost per 1K tokens: $0.007875 (rounded ~ $0.01)
  • Tokens per dollar: 126,984 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 100ms time to first token:

  • Processing Time: 35 minutes, 40.18 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Architectural DesignCI/CDLegacy Migration

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.3 Codex. 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: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.6 vs GPT-5.3 Codex
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↓ 73.3% cheaper ↓ 49.2% cheaper
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↓ 41.7% cheaper ↑ 11.1% more
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↓ 41.7% cheaper ↑ 11.1% more
🏆

Grok 4.20 Beta
xAI

$8.000000
vs Claude Opus 4.6: ↓ 73.3%
vs GPT-5.3 Codex: ↓ 49.2%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs Claude Opus 4.6: ↓ 41.7%
vs GPT-5.3 Codex: ↑ 11.1%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Claude Opus 4.6: ↓ 41.7%
vs GPT-5.3 Codex: ↑ 11.1%
✨ 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.

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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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
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.