DeepSeek R1 vs GPT-5 for coding cost analysis

deepseek-r1 vs gpt-5
Complete Comparison: 200,000 input tokens × 100,000 output tokens
Comparison Mode

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

Comparison Criteria deepseek-r1
DeepSeek
gpt-5
OpenAI
Input Parameters Applied
Input Tokens 200,000 200,000
Output Tokens 100,000 100,000
Calculation Results
Input Cost $0.110000 Best $0.350000 Worst
Output Cost $0.219000 (rounded ~ 0.22) Best $1.400000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.379000 (rounded ~ 0.38) Best Value $1.800000 Most Expensive
Processing Time 42 minutes, 55.00 seconds Slowest 11 minutes, 26.00 seconds Fastest
Tokens per Second 120 Slowest 450 Fastest
Time to First Token 220ms Worst 200ms Best
Cost per 1K tokens $0.001263 (rounded ~ 0.00) Best $0.006000 (rounded ~ 0.01) Worst
Tokens per Dollar 791,557 Best Value 166,667 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) $0.550000 Best
Optimizations: No optimizations applied
$1.750000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $2.190000 Best
Optimizations: No optimizations applied
$14.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✓ Supported
Batch API Support Available Available
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 163,840 tokens.

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
$0.110000Input Cost
$0.219000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
300,000Total Tokens
$0.001263Cost per 1K
791,557Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

42m 55sProcessing Time
120Tokens/Second
220msTime to First Token
117Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 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
Enable 6.0x Fast Mode multiplier

🔧 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

🎬 OpenAI Video Options
Enable watermark removal surcharge

⚙️ 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

$0.379000 (rounded ~ 0.38)
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 163,840 tokens.
🔧 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) $0.379000 (rounded ~ 0.38) Input: $0.110000
Output: $0.219000 (rounded ~ 0.22)
Optimized Cost $0.379000 (rounded ~ 0.38) Input: $0.110000
Output: $0.219000 (rounded ~ 0.22)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 200,000 input tokens and 100,000 output tokens:

  • Input Cost: $0.110000
  • Output Cost: $0.219000 (rounded ~ 0.22)
  • Service Fees: $0.050000
  • Total Cost: $0.379000 (rounded ~ 0.38)
  • Cost per 1K tokens: $0.001263 (rounded ~ 0.00)
  • Tokens per dollar: 791,557 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: 42 minutes, 55.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 117 tokens/second (temperature-adjusted)

Best Use Cases

DevelopmentCodingDebuggingReview

gpt-5 OpenAI

$1.800000
Total Cost
🔧 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) $1.800000 Input: $0.350000
Output: $1.400000
Optimized Cost $1.800000 Input: $0.350000
Output: $1.400000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 200,000 input tokens and 100,000 output tokens:

  • Input Cost: $0.350000
  • Output Cost: $1.400000
  • Service Fees: $0.050000
  • Total Cost: $1.800000
  • Cost per 1K tokens: $0.006000 (rounded ~ 0.01)
  • Tokens per dollar: 166,667 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: 11 minutes, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

DevelopmentCodingDebuggingReview

Developer Tools Cost Comparison

Specialized coding models compared for development workflows. Different pricing for code generation and review.

Developer Cost Analysis

  • DeepSeek R1: $1.35/M input, $5.40/M output
  • GPT-5: $1.25/M input, $10/M output
  • Code-specific optimizations
  • Tool integration costs

Development Workflows

Code generation, debugging, documentation, code review, refactoring.

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.