Claude Sonnet 4.6 vs GPT-5.4 mini for 100 Million-Token Code Review Pipelines

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs GPT-5.4 mini
Complete Comparison: 100,000,000 input tokens × 800 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 Sonnet 4.6
Anthropic
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens 100,000,000 100,000,000
Output Tokens 800 800
Cost Breakdown
Input Cost $75.000000Worst $18.750000Best
Output Cost $0.003000Worst $0.000900Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $54.753000 (rounded ~ $54.75) Most Expensive $13.688400 (rounded ~ $13.69) Best Value
Processing Time 63 hours, 34 minutes, 50.90 seconds Slowest 57 hours, 13 minutes, 21.83 seconds Fastest
Tokens per Second 450Slowest 500Fastest
Time to First Token 200ms Worst 180ms Best
Cost per 1K tokens $0.000548Worst $0.000137Best
Tokens per Dollar 1,826,399Worst Value 7,305,514Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base) $3.750000Worst $1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$0.562500 (rounded ~ $0.56)Best
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
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
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

$54.753000 Total Cost
$52.500000 Input Cost
$0.003000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,000,800Total Tokens
$0.000548Cost per 1K
1,826,399Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3814m 50s Processing Time
450 Tokens/Second
200ms Time to First Token
437 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 Sonnet 4.6 Anthropic 1000000

$54.753000 (rounded ~ $54.75)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 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) $75.003000 (rounded ~ $75.00) Input: $75.000000
Output: $0.003000
Optimized Cost $54.753000 (rounded ~ $54.75) Input: $75.000000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $20.250000 27.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000,000 input tokens and 800 output tokens:

  • Input Cost: $75.000000
  • Output Cost: $0.003000
  • Total Cost: $54.753000 (rounded ~ $54.75)
  • Cost per 1K tokens: $0.000548
  • Tokens per dollar: 1,826,399 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 63 hours, 34 minutes, 50.90 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Comparing high-reasoning accuracy against high-speedcost-efficient execution for enterprise coding pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 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-5.4 mini OpenAI

$13.688400 (rounded ~ $13.69)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 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) $18.750900 Input: $18.750000
Output: $0.000900
Optimized Cost $13.688400 (rounded ~ $13.69) Input: $18.750000
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Total Savings $5.062500 (rounded ~ $5.06) 27.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000,000 input tokens and 800 output tokens:

  • Input Cost: $18.750000
  • Output Cost: $0.000900
  • Total Cost: $13.688400 (rounded ~ $13.69)
  • Cost per 1K tokens: $0.000137
  • Tokens per dollar: 7,305,514 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

  • Processing Time: 57 hours, 13 minutes, 21.83 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Comparing high-reasoning accuracy against high-speedcost-efficient execution for enterprise coding pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. 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 Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 100,000,000
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Balancing Reasoning and Throughput

Choosing between Claude Sonnet 4.6 and GPT-5.4 mini for an automated code review assistant requires a strategic look at how your team handles PR volume. Claude Sonnet 4.6 is widely recognized for its nuanced understanding of complex architectural patterns and its ability to maintain high-quality feedback on intricate refactoring tasks. Its reasoning depth is particularly valuable for senior-level PRs where the AI needs to evaluate not just syntax, but design intent and long-term maintainability.

Conversely, GPT-5.4 mini offers a distinct advantage for high-throughput, routine code review tasks. By optimizing for speed and latency, it allows for a much faster feedback loop, which is essential when a team is pushing dozens of small, iterative changes throughout the workday. The performance-per-latency profile of GPT-5.4 mini makes it a highly efficient choice for pipelines where immediate, inline feedback is prioritized over deep, multi-step architectural exploration.

For enterprise developers, the decision often comes down to the nature of the codebase and the expected depth of the review. If your team focuses on high-risk, complex system integrations, Claude Sonnet 4.6 provides the safety and clarity required for high-stakes changes. If, however, your pipeline handles a vast number of standard feature updates and bug fixes, GPT-5.4 mini can significantly improve the developer experience by reducing wait times. Both models are capable, but they occupy different niches in the modern software development lifecycle.

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.

Related model pricing

Claude Sonnet 4.6 currently costs $3.00 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →