o4-mini Reasoning vs DeepSeek-R1-Lite: Budget Logic

o4-mini vs DeepSeek-R1-Lite
Complete Comparison: 128,000 input tokens × 64,000 output tokens
Comparison Mode

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

Comparison Criteria o4-mini
OpenAI
DeepSeek-R1-Lite
DeepSeek
Calculation Results (Current Inputs)
Input Tokens 128,000 N/A (Special Pricing)
Output Tokens 64,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.140800 N/A (Special Pricing)
Output Cost $0.281600 (rounded ~ 0.28) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.422400 (rounded ~ 0.42) Best Value $1.024000 (rounded ~ 1.02) Most Expensive
Processing Time 18 minutes, 50.00 seconds Slowest 6 minutes, 47.00 seconds Fastest
Tokens per Second 180 N/A (Special Pricing)
Time to First Token 280ms Worst 200ms Best
Cost per 1K tokens $0.002200 (rounded ~ 0.00) N/A (Special Pricing)
Tokens per Dollar 454,545 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.100000 N/A (Special Pricing)
Output Cost / 1M (Base) $4.400000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $1.100000
Optimizations: No optimizations applied
N/A (Special Pricing)
Output Cost / 1M (Optimized) $4.400000
Optimizations: No optimizations applied
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✗ Not Supported
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Select AI Model

o4-mini
OpenAIMax Context: 200,000 tokens
$1.1 / $4.4 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

$0.140800 Input Cost
$0.281600 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
192,000Total Tokens
$0.002200Cost per 1K
454,545Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

18m 50s Processing Time
180 Tokens/Second
280ms Time to First Token
170 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
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.

o4-mini OpenAI

$0.422400 (rounded ~ 0.42)
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 (from Plugin)

Base Cost (No Optimizations) $0.422400 (rounded ~ 0.42) Input: $0.140800
Output: $0.281600 (rounded ~ 0.28)
Optimized Cost $0.422400 (rounded ~ 0.42) Input: $0.140800
Output: $0.281600 (rounded ~ 0.28)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 64,000 output tokens:

  • Input Cost: $0.140800
  • Output Cost: $0.281600 (rounded ~ 0.28)
  • Total Cost: $0.422400 (rounded ~ 0.42)
  • Cost per 1K tokens: $0.002200 (rounded ~ 0.00)
  • Tokens per dollar: 454,545 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 180 tokens per second and 280ms time to first token:

  • Processing Time: 18 minutes, 50.00 seconds
  • Latency: 280 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 170 tokens/second (temperature-adjusted)

Best Use Cases

Student TutorsLogic-heavy Chatbots

DeepSeek-R1-Lite DeepSeek

$1.024000 (rounded ~ 1.02)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 32,768 tokens. Budgeting mode active.
🔧 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) $1.024000 (rounded ~ 1.02) Input: $0.256000 (rounded ~ 0.26)
Output: $0.768000 (rounded ~ 0.77)
Optimized Cost $1.024000 (rounded ~ 1.02) Input: $0.256000 (rounded ~ 0.26)
Output: $0.768000 (rounded ~ 0.77)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 64,000 output tokens:

  • Input Cost: $0.256000 (rounded ~ 0.26)
  • Output Cost: $0.768000 (rounded ~ 0.77)
  • Total Cost: $1.024000 (rounded ~ 1.02)
  • Cost per 1K tokens: $0.005333 (rounded ~ 0.01)
  • Tokens per dollar: 187,500 tokens
  • Context Window: 32768 tokens

Speed & Performance Analysis

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

  • Processing Time: 6 minutes, 47.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 472 tokens/second (temperature-adjusted)

Best Use Cases

Student TutorsLogic-heavy Chatbots

✨ Market Recommendations AI Model Registry

← Back to o4-mini
📋 Active Input Parameters
Input Tokens: 128,000
Output Tokens: 64,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs o4-mini vs DeepSeek-R1-Lite
🏆 Gemini 3.1 Flash Lite
Google
$0.038400 (rounded ~ 0.04) Best Value ↓ 90.9% cheaper ↓ 96.3% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
$0.088960 (rounded ~ 0.09) ↓ 78.9% cheaper ↓ 91.3% cheaper
🥉 Mistral Large 3
Mistral AI
$0.640000 ↑ 51.5% more ↓ 37.5% cheaper
#4 Sonar Deep Research
Perplexity
$0.768000 (rounded ~ 0.77) ↑ 81.8% more ↓ 25% cheaper
#5 Gemini 3.1 Pro
Google
$1.024000 (rounded ~ 1.02) ↑ 142.4% more Same price
#6 GPT-5.3 Codex Spark
OpenAI
$1.120000 ↑ 165.2% more ↑ 9.4% more
#7 GPT-5.4 Thinking
OpenAI
$1.280000 ↑ 203% more ↑ 25% more
#8 Claude Sonnet 4.6
Anthropic
$1.344000 (rounded ~ 1.34) ↑ 218.2% more ↑ 31.3% more
#9 Grok 5
xAI
$1.344000 (rounded ~ 1.34) ↑ 218.2% more ↑ 31.3% more
#10 Sonar Pro
Perplexity
$1.354000 (rounded ~ 1.35) ↑ 220.5% more ↑ 32.2% more
#11 Claude Opus 4.6
Anthropic
$2.240000 ↑ 430.3% more ↑ 118.8% more
#12 o3 Deep Research
OpenAI
$3.840000 ↑ 809.1% more ↑ 275% more
#13 o3 Pro
OpenAI
$7.680000 ↑ 1718.2% more ↑ 650% more
#14 o3 Pro
OpenAI
$7.680000 ↑ 1718.2% more ↑ 650% more
🏆

Gemini 3.1 Flash Lite
Google

$0.038400 (rounded ~ 0.04)
vs o4-mini: ↓ 90.9%
vs DeepSeek-R1-Lite: ↓ 96.3%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.088960 (rounded ~ 0.09)
vs o4-mini: ↓ 78.9%
vs DeepSeek-R1-Lite: ↓ 91.3%
🥉

Mistral Large 3
Mistral AI

$0.640000
vs o4-mini: ↑ 51.5%
vs DeepSeek-R1-Lite: ↓ 37.5%
#4

Sonar Deep Research
Perplexity

$0.768000 (rounded ~ 0.77)
vs o4-mini: ↑ 81.8%
vs DeepSeek-R1-Lite: ↓ 25%
#5

Gemini 3.1 Pro
Google

$1.024000 (rounded ~ 1.02)
vs o4-mini: ↑ 142.4%
vs DeepSeek-R1-Lite: Same
#6

GPT-5.3 Codex Spark
OpenAI

$1.120000
vs o4-mini: ↑ 165.2%
vs DeepSeek-R1-Lite: ↑ 9.4%
#7

GPT-5.4 Thinking
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 25%
#8

Claude Sonnet 4.6
Anthropic

$1.344000 (rounded ~ 1.34)
vs o4-mini: ↑ 218.2%
vs DeepSeek-R1-Lite: ↑ 31.3%
#9

Grok 5
xAI

$1.344000 (rounded ~ 1.34)
vs o4-mini: ↑ 218.2%
vs DeepSeek-R1-Lite: ↑ 31.3%
#10

Sonar Pro
Perplexity

$1.354000 (rounded ~ 1.35)
vs o4-mini: ↑ 220.5%
vs DeepSeek-R1-Lite: ↑ 32.2%
#11

Claude Opus 4.6
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 118.8%
#12

o3 Deep Research
OpenAI

$3.840000
vs o4-mini: ↑ 809.1%
vs DeepSeek-R1-Lite: ↑ 275%
#13

o3 Pro
OpenAI

$7.680000
vs o4-mini: ↑ 1718.2%
vs DeepSeek-R1-Lite: ↑ 650%
#14

o3 Pro
OpenAI

$7.680000
vs o4-mini: ↑ 1718.2%
vs DeepSeek-R1-Lite: ↑ 650%
✨ 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.

Reinforcement Learning at Scale

o4-mini represents OpenAI’s cheapest reasoning model, using RL-tuning for complex tasks. DeepSeek-R1-Lite is even cheaper, but o4-mini offers better tool-calling stability and safer content filters for public-facing apps.

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.