AI Code Generation Cost: DeepSeek-R1 vs GPT-5 for Developers

deepseek-r1 vs gpt-5
Complete Comparison: 50,000 input tokens × 30,000 output tokens
Comparison Mode (Custom field comparison)

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

📊 Batch API
Comparison Criteria deepseek-r1
DeepSeek
gpt-5
OpenAI
Input Parameters Applied
Input Tokens 50,000 50,000
Output Tokens 30,000 30,000
Calculation Results
Input Cost $0.027500 (rounded ~ 0.03) Best $0.087500 (rounded ~ 0.09) Worst
Output Cost $0.065700 (rounded ~ 0.07) Best $0.420000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.143200 (rounded ~ 0.14) Best Value $0.557500 (rounded ~ 0.56) Most Expensive
Processing Time 11 minutes, 26.00 seconds Slowest 3 minutes, 3.00 seconds Fastest
Tokens per Second 120 Slowest 450 Fastest
Time to First Token 220ms Worst 200ms Best
Cost per 1K tokens $0.001441 (rounded ~ 0.00) Best $0.003797 (rounded ~ 0.00) Worst
Tokens per Dollar 694,203 Best Value 263,374 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $0.550000 Best $1.750000 Worst
Output Cost / 1M (Base) $2.190000 Best $14.000000 Worst
Input Cost / 1M (Optimized) $0.385000 (rounded ~ 0.39) Best
Optimizations: 30.0% batch
$0.875000 (rounded ~ 0.88) Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.533000 (rounded ~ 1.53) Best
Optimizations: 30.0% batch
$7.000000 Worst
Optimizations: 50.0% batch
Capabilities
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Enabled ✓ Enabled
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

DeepSeek R1
DeepSeekMax Context: 163,840 tokens
Input: $0.550000 / 1M
Output: $2.190000 / 1M

Calculate Token Costs

▼
▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.115240Total Cost
$0.027500Input Cost
$0.065700Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
80,000Total Tokens
$0.001441Cost per 1K
694,203Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
11m 26sProcessing Time
120Tokens/Second
220msTime to First Token
117Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

deepseek-r1 DeepSeek

$0.143200 (rounded ~ 0.14)
Total Cost
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.143200 (rounded ~ 0.14) Input: $0.027500 (rounded ~ 0.03)
Output: $0.065700 (rounded ~ 0.07)
Optimized Cost $0.143200 (rounded ~ 0.14) Input: $0.027500 (rounded ~ 0.03)
Output: $0.065700 (rounded ~ 0.07)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.027960 (rounded ~ 0.03) 19.5% discount

Advanced Cost Breakdown

📊 Batch API
30.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 50,000 input tokens and 30,000 output tokens:

  • Input Cost: $0.027500 (rounded ~ 0.03)
  • Output Cost: $0.065700 (rounded ~ 0.07)
  • Service Fees: $0.050000
  • Total Cost: $0.143200 (rounded ~ 0.14)
  • Cost per 1K tokens: $0.001441 (rounded ~ 0.00)
  • Tokens per dollar: 694,203 tokens
  • Context Window: 163840 tokens

Speed & Performance Analysis

With a processing speed of 120 tokens per second and 220ms time to first token:

  • Processing Time: 11 minutes, 26.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 117 tokens/second (temperature-adjusted)

Best Use Cases

Software developmentCode reviewDebugging

gpt-5 OpenAI

$0.557500 (rounded ~ 0.56)
Total Cost
📊 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

Base Cost (No Optimizations) $0.557500 (rounded ~ 0.56) Input: $0.087500 (rounded ~ 0.09)
Output: $0.420000
Optimized Cost $0.557500 (rounded ~ 0.56) Input: $0.087500 (rounded ~ 0.09)
Output: $0.420000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.253750 (rounded ~ 0.25) 45.5% discount

Advanced Cost Breakdown

📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 50,000 input tokens and 30,000 output tokens:

  • Input Cost: $0.087500 (rounded ~ 0.09)
  • Output Cost: $0.420000
  • Service Fees: $0.050000
  • Total Cost: $0.557500 (rounded ~ 0.56)
  • Cost per 1K tokens: $0.003797 (rounded ~ 0.00)
  • Tokens per dollar: 263,374 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, 3.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Software developmentCode reviewDebugging

Developer Tool Cost Analysis

Comparing costs for code generation and programming assistance. Specialized coding models vs general-purpose models.

Code Generation Setup

  • DeepSeek-R1: Specialized for reasoning/code
  • GPT-5: General purpose with coding
  • DeepSeek: $1.35/$5.40 per 1M tokens
  • GPT-5: $1.25/$10.00 per 1M tokens
  • Context: Code files require large windows

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.