DeepSeek V4 vs GPT-5.2 Pro: The Engineering ROI

DeepSeek V4 vs GPT-5.2 Pro
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 DeepSeek V4
DeepSeek
GPT-5.2 Pro
OpenAI
Calculation Results (Current Inputs)
Input Tokens N/A (Special Pricing) 1,000,000
Output Tokens N/A (Special Pricing) 1,000,000
Cost Breakdown
Input Cost N/A (Special Pricing) $21.000000
Output Cost N/A (Special Pricing) $168.000000
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.305000 (rounded ~ $1.31) Best Value $189.000000 Most Expensive
Processing Time 1 hour, 56 minutes, 40.18 seconds Slowest 1 hour, 40 minutes, 0.18 seconds Fastest
Tokens per Second N/A (Special Pricing) 350
Time to First Token 180ms Best 250ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.094500 (rounded ~ $0.09)
Tokens per Dollar N/A (Special Pricing) 10,582
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $21.000000
Output Cost / 1M (Base) N/A (Special Pricing) $168.000000
Input Cost / 1M (Optimized) N/A (Special Pricing) $21.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) N/A (Special Pricing) $168.000000
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✗ Not 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

Deepseek V4
DeepSeekMax Context: 1,000,000 tokens
$0.435 / $0.87 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

$1.305000 Total Cost
$0.435000 Input Cost
$0.870000 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
$0.000653Cost per 1K
1,532,567Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

116m 40s Processing Time
300 Tokens/Second
180ms Time to First Token
286 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.

DeepSeek V4 DeepSeek 1000000

$1.305000 (rounded ~ $1.31)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.305000 (rounded ~ $1.31) Input: $0.435000 (rounded ~ $0.44)
Output: $0.870000
Optimized Cost $1.305000 (rounded ~ $1.31) Input: $0.435000 (rounded ~ $0.44)
Output: $0.870000
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: $0.435000 (rounded ~ $0.44)
  • Output Cost: $0.870000
  • Total Cost: $1.305000 (rounded ~ $1.31)
  • Cost per 1K tokens: $0.000653
  • Tokens per dollar: 1,532,567 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 180ms time to first token:

  • Processing Time: 1 hour, 56 minutes, 40.18 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 286 tokens/second (temperature-adjusted)

Best Use Cases

Automated CodingRepository-Scale Refactoring

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4. 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-5.2 Pro OpenAI

$189.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 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) $189.000000 Input: $21.000000
Output: $168.000000
Optimized Cost $189.000000 Input: $21.000000
Output: $168.000000
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: $21.000000
  • Output Cost: $168.000000
  • Total Cost: $189.000000
  • Cost per 1K tokens: $0.094500 (rounded ~ $0.09)
  • Tokens per dollar: 10,582 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 1 hour, 40 minutes, 0.18 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Automated CodingRepository-Scale Refactoring

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.2 Pro. 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 DeepSeek V4
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 vs GPT-5.2 Pro
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↑ 513% more ↓ 95.8% cheaper
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 1241% more ↓ 90.7% cheaper
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 1241% more ↓ 90.7% cheaper
🏆

Grok 4.20 Beta
xAI

$8.000000
vs DeepSeek V4: ↑ 513%
vs GPT-5.2 Pro: ↓ 95.8%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs DeepSeek V4: ↑ 1241%
vs GPT-5.2 Pro: ↓ 90.7%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs DeepSeek V4: ↑ 1241%
vs GPT-5.2 Pro: ↓ 90.7%
✨ 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.

Efficiency vs Universal Capability

DeepSeek V4 (Engram) has become the 2026 sensation for its massive efficiency gains in coding. By separating static knowledge from active reasoning, it provides 95% of GPT-5.2 Pro’s coding performance at a third of the cost. While GPT-5.2 Pro is still the better all-around generalist for multimodal office tasks, DeepSeek V4 is the primary choice for high-volume software engineering teams and automated CI/CD pipelines looking for maximum intelligence-per-dollar.

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.