GPT-5.2 vs Claude Sonnet 4.5: 2026 Coding and Development Benchmarks

GPT-5.2 is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current GPT-5.5 pricing →  ·  All recent pricing changes

GPT-5.2 Instant vs Claude Sonnet 4.5
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 GPT-5.2 Instant
OpenAI
Claude Sonnet 4.5
Anthropic
Calculation Results (Current Inputs)
Input Tokens N/A (Special Pricing) N/A (Special Pricing)
Output Tokens N/A (Special Pricing) N/A (Special Pricing)
Cost Breakdown
Input Cost N/A (Special Pricing) N/A (Special Pricing)
Output Cost N/A (Special Pricing) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $15.750000 Best Value $18.000000 Most Expensive
Processing Time 1 hour, 19 minutes, 15.74 seconds 1 hour, 19 minutes, 15.74 seconds
Tokens per Second N/A (Special Pricing) N/A (Special Pricing)
Time to First Token 200ms 200ms
Cost per 1K tokens N/A (Special Pricing) N/A (Special Pricing)
Tokens per Dollar N/A (Special Pricing) N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Information not available - No token-based models in this comparison
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 This model is now in Legacy mode. Results are based on last-known pricing.

Select AI Model

Gpt 5 2 Instant
OpenAIMax Context: 400,000 tokens
$1.75 / $14 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

$15.750000 Total Cost
$1.750000 Input Cost
$14.000000 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
$0.007875Cost per 1K
126,984Tokens per $
⚫ Archived Model: This model was retired on September 1, 2026. Prices are historical.
📊 Advanced Cost Breakdown

Processing Speed

79m 15s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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
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.

GPT-5.2 Instant OpenAI

$15.750000
Total Cost
⚠️ This model is now in Legacy mode. Results are based on last-known pricing.
🔧 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: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 1 hour, 19 minutes, 15.74 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

CodingSoftware EngineeringTech Documentation

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.2 Instant. 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 →

Claude Sonnet 4.5 Anthropic 1000000

$18.000000
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) $18.000000 Input: $3.000000
Output: $15.000000
Optimized Cost $18.000000 Input: $3.000000
Output: $15.000000
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: $3.000000
  • Output Cost: $15.000000
  • Total Cost: $18.000000
  • Cost per 1K tokens: $0.009000
  • Tokens per dollar: 111,111 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: 1 hour, 19 minutes, 15.74 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

CodingSoftware EngineeringTech Documentation

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.5. 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 GPT-5.2 Instant
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.2 Instant vs Claude Sonnet 4.5
🏆 Gemini 2.5 Pro
Google
 $17.500000 Best Value ↑ 11.1% more ↓ 2.8% cheaper
🏆

Gemini 2.5 Pro
Google

$17.500000
vs GPT-5.2 Instant: ↑ 11.1%
vs Claude Sonnet 4.5: ↓ 2.8%
✨ 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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The Developer’s Duel: OpenAI vs Anthropic

Comparing the two most popular coding models in 2026. GPT-5.2 introduces enhanced reasoning for architectural design, while Claude Sonnet 4.5 is renowned for its specific instruction-following in legacy code refactoring. For a project with 1M tokens of code context, GPT-5.2 costs $15.75 for a balanced I/O split, whereas Sonnet 4.5 costs $18.00. Developers favor Sonnet for its detailed technical explanations and fewer logic errors in complex React/Next.js architectures.

Performance and Context

Sonnet 4.5’s 1M token context window allows for entire monorepos to be ingested at once. GPT-5.2 balances this with faster execution (85 t/s) and a tighter integration with the OpenAI ecosystem, offering the best automated unit-test generation on the market. For high-stakes logic, Sonnet remains the gold standard for code security audits.

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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.