Claude 4.5 Sonnet vs GPT-5.2: The Coding Workhorses

claude-sonnet-4.5 vs gpt-5.2
Complete Comparison: 80,000 input tokens × 10,000 output tokens
Comparison Mode
⚡ 90% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 90% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria claude-sonnet-4.5
Anthropic
gpt-5.2
OpenAI
Calculation Results (Current Inputs) (90% cached)
Input Tokens N/A (Special Pricing) 80,000
Output Tokens N/A (Special Pricing) 10,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.035000 (rounded ~ 0.04)
Output Cost N/A (Special Pricing) $0.035000 (rounded ~ 0.04)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.650000 Most Expensive $0.041650 (rounded ~ 0.04) Best Value
Processing Time 3 minutes, 3.00 seconds Fastest 3 minutes, 24.00 seconds Slowest
Tokens per Second N/A (Special Pricing) 450
Time to First Token 200ms 200ms
Cost per 1K tokens N/A (Special Pricing) $0.000463
Tokens per Dollar N/A (Special Pricing) 2,160,864
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.437500 (rounded ~ 0.44)
Output Cost / 1M (Base) N/A (Special Pricing) $3.500000
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.218750 (rounded ~ 0.22)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $1.750000
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
90
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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Select AI Model

Claude Sonnet 4 5
AnthropicMax Context: 1,000,000 tokens
$5.000000 / $25.000000 per 1M
▼
▼
Use Batch API (50% discount)
90%
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

$0.650000 Total Cost
$0.400000 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
90,000Total Tokens
$0.007222Cost per 1K
138,462Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 3s Processing Time
500 Tokens/Second
200ms Time to First Token
490 Effective Speed

Model Comparison

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Model Information

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🔄 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-sonnet-4.5 Anthropic 1000000

$0.650000
Total Cost
⚡ 90% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.650000 Input: $0.400000
Output: $0.250000
Optimized Cost $0.650000 Input: $0.400000
Output: $0.250000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 80,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.400000
  • Output Cost: $0.250000
  • Total Cost: $0.650000
  • Cost per 1K tokens: $0.007222 (rounded ~ 0.01)
  • Tokens per dollar: 138,462 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 3 minutes, 3.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Software EngineeringSQL GenerationDocumentation

gpt-5.2 OpenAI

$0.041650 (rounded ~ 0.04)
Total Cost
⚡ 90% 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) $0.070000 Input: $0.035000 (rounded ~ 0.04)
Output: $0.035000 (rounded ~ 0.04)
Optimized Cost $0.041650 (rounded ~ 0.04) Input: $0.035000 (rounded ~ 0.04)
Output: $0.035000 (rounded ~ 0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.028350 (rounded ~ 0.03) 40.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 80,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.035000 (rounded ~ 0.04)
  • Output Cost: $0.035000 (rounded ~ 0.04)
  • Total Cost: $0.041650 (rounded ~ 0.04)
  • Cost per 1K tokens: $0.000463
  • Tokens per dollar: 2,160,864 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 3 minutes, 24.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Software EngineeringSQL GenerationDocumentation

✨ Market Recommendations AI Model Registry

← Back to claude-sonnet-4.5
📋 Active Input Parameters
Input Tokens: 80,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Cached Tokens: 90%
Tools: Enabled
Rank AI Model & Provider Total Cost vs claude-sonnet-4.5 vs gpt-5.2
🏆 Mistral Small 3
Mistral AI
 $0.001130 (rounded ~ 0.00) Best Value ↓ 99.8% cheaper ↓ 97.3% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.002760 (rounded ~ 0.00) ↓ 99.6% cheaper ↓ 93.4% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.013800 (rounded ~ 0.01) ↓ 97.9% cheaper ↓ 66.9% cheaper
#4 o4-mini
OpenAI
 $0.015180 (rounded ~ 0.02) ↓ 97.7% cheaper ↓ 63.6% cheaper
#5 Mistral Large 3
Mistral AI
 $0.022600 (rounded ~ 0.02) ↓ 96.5% cheaper ↓ 45.7% cheaper
#6 GPT-5.3 Codex Spark
OpenAI
 $0.041650 (rounded ~ 0.04) ↓ 93.6% cheaper Same price
#7 Grok 5
xAI
 $0.048900 (rounded ~ 0.05) ↓ 92.5% cheaper ↑ 17.4% more
#8 Gemini 3.1 Pro
Google
 $0.075200 (rounded ~ 0.08) ↓ 88.4% cheaper ↑ 80.6% more
#9 Claude Sonnet 4.6
Anthropic
 $0.092400 (rounded ~ 0.09) ↓ 85.8% cheaper ↑ 121.8% more
#10 GPT-5.4 Thinking
OpenAI
 $0.094000 (rounded ~ 0.09) ↓ 85.5% cheaper ↑ 125.7% more
#11 o3 Deep Research
OpenAI
 $0.138000 (rounded ~ 0.14) ↓ 78.8% cheaper ↑ 231.3% more
#12 Claude Opus 4.6
Anthropic
 $0.154000 (rounded ~ 0.15) ↓ 76.3% cheaper ↑ 269.7% more
#13 o3 Pro
OpenAI
 $0.276000 (rounded ~ 0.28) ↓ 57.5% cheaper ↑ 562.7% more
#14 GPT-5.2 Pro
OpenAI
 $0.499800 ↓ 23.1% cheaper ↑ 1100% more
#15 GPT-5.2 Pro
OpenAI
 $0.499800 ↓ 23.1% cheaper ↑ 1100% more
🏆

Mistral Small 3
Mistral AI

$0.001130 (rounded ~ 0.00)
vs claude-sonnet-4.5: ↓ 99.8%
vs gpt-5.2: ↓ 97.3%
🥈

Gemini 3.1 Flash Lite
Google

$0.002760 (rounded ~ 0.00)
vs claude-sonnet-4.5: ↓ 99.6%
vs gpt-5.2: ↓ 93.4%
🥉

o4-mini Deep Research
OpenAI

$0.013800 (rounded ~ 0.01)
vs claude-sonnet-4.5: ↓ 97.9%
vs gpt-5.2: ↓ 66.9%
#4

o4-mini
OpenAI

$0.015180 (rounded ~ 0.02)
vs claude-sonnet-4.5: ↓ 97.7%
vs gpt-5.2: ↓ 63.6%
#5

Mistral Large 3
Mistral AI

$0.022600 (rounded ~ 0.02)
vs claude-sonnet-4.5: ↓ 96.5%
vs gpt-5.2: ↓ 45.7%
#6

GPT-5.3 Codex Spark
OpenAI

$0.041650 (rounded ~ 0.04)
vs claude-sonnet-4.5: ↓ 93.6%
vs gpt-5.2: Same
#7

Grok 5
xAI

$0.048900 (rounded ~ 0.05)
vs claude-sonnet-4.5: ↓ 92.5%
vs gpt-5.2: ↑ 17.4%
#8

Gemini 3.1 Pro
Google

$0.075200 (rounded ~ 0.08)
vs claude-sonnet-4.5: ↓ 88.4%
vs gpt-5.2: ↑ 80.6%
#9

Claude Sonnet 4.6
Anthropic

$0.092400 (rounded ~ 0.09)
vs claude-sonnet-4.5: ↓ 85.8%
vs gpt-5.2: ↑ 121.8%
#10

GPT-5.4 Thinking
OpenAI

$0.094000 (rounded ~ 0.09)
vs claude-sonnet-4.5: ↓ 85.5%
vs gpt-5.2: ↑ 125.7%
#11

o3 Deep Research
OpenAI

$0.138000 (rounded ~ 0.14)
vs claude-sonnet-4.5: ↓ 78.8%
vs gpt-5.2: ↑ 231.3%
#12

Claude Opus 4.6
Anthropic

$0.154000 (rounded ~ 0.15)
vs claude-sonnet-4.5: ↓ 76.3%
vs gpt-5.2: ↑ 269.7%
#13

o3 Pro
OpenAI

$0.276000 (rounded ~ 0.28)
vs claude-sonnet-4.5: ↓ 57.5%
vs gpt-5.2: ↑ 562.7%
#14

GPT-5.2 Pro
OpenAI

$0.499800
vs claude-sonnet-4.5: ↓ 23.1%
vs gpt-5.2: ↑ 1100%
#15

GPT-5.2 Pro
OpenAI

$0.499800
vs claude-sonnet-4.5: ↓ 23.1%
vs gpt-5.2: ↑ 1100%
✨ 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.

Developer ROI Benchmarks

For mid-tier pricing, these two models handle 90% of production coding tasks. We compare the ‘Cache Hit’ discounts of Anthropic vs. the ‘Batch API’ savings of OpenAI to find the cheapest way to run an autonomous DevOps pipeline.

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.