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, 50.85 seconds Slowest 6 minutes, 47.22 seconds Fastest
Tokens per Second 180 N/A (Special Pricing)
Time to First Token 280ms Worst 200ms Best
Cost per 1K tokens $0.002200 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
Scroll horizontally to see all data

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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

$0.422400 Total Cost
$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
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.

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
  • 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, 50.85 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

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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, 47.22 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

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek-R1-Lite. 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 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
🏆 Llama 4 Maverick (400B)
Meta AI
 $0.057600 (rounded ~ $0.06) Best Value ↓ 86.4% cheaper ↓ 94.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.121600 (rounded ~ $0.12) ↓ 71.2% cheaper ↓ 88.1% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.128000 (rounded ~ $0.13) ↓ 69.7% cheaper ↓ 87.5% cheaper
#4 Mistral Large 3
Mistral AI
 $0.160000 ↓ 62.1% cheaper ↓ 84.4% cheaper
#5 Gemini 2.5 Flash
Google
 $0.198400 (rounded ~ $0.20) ↓ 53% cheaper ↓ 80.6% cheaper
#6 Gemini 3.1 Flash
Google
 $0.256000 (rounded ~ $0.26) ↓ 39.4% cheaper ↓ 75% cheaper
#7 Kimi K2.5
Moonshot AI
 $0.268800 (rounded ~ $0.27) ↓ 36.4% cheaper ↓ 73.8% cheaper
#8 Grok 4.3
xAI
 $0.320000 ↓ 24.2% cheaper ↓ 68.8% cheaper
#9 Kimi K2.6
Moonshot AI
 $0.377600 (rounded ~ $0.38) ↓ 10.6% cheaper ↓ 63.1% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.384000 (rounded ~ $0.38) ↓ 9.1% cheaper ↓ 62.5% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.448000 (rounded ~ $0.45) ↑ 6.1% more ↓ 56.3% cheaper
#12 Grok 4.20 Beta
xAI
 $0.640000 ↑ 51.5% more ↓ 37.5% cheaper
#13 Gemini 3.5 Flash
Google
 $0.768000 (rounded ~ $0.77) ↑ 81.8% more ↓ 25% cheaper
#14 Sonar Deep Research
Perplexity
 $0.768000 (rounded ~ $0.77) ↑ 81.8% more ↓ 25% cheaper
#15 Gemini 2.5 Pro
Google
 $0.800000 ↑ 89.4% more ↓ 21.9% cheaper
#16 Gemini 3.1 Pro
Google
 $1.024000 (rounded ~ $1.02) ↑ 142.4% more Same price
#17 GPT-5.3 Codex Spark
OpenAI
 $1.120000 ↑ 165.2% more ↑ 9.4% more
#18 GPT-5.4
OpenAI
 $1.280000 ↑ 203% more ↑ 25% more
#19 GPT-5.4 Thinking
OpenAI
 $1.280000 ↑ 203% more ↑ 25% more
#20 Claude Sonnet 4.6
Anthropic
 $1.344000 (rounded ~ $1.34) ↑ 218.2% more ↑ 31.3% more
#21 Sonar Pro
Perplexity
 $1.354000 (rounded ~ $1.35) ↑ 220.5% more ↑ 32.2% more
#22 Claude Opus 4.7
Anthropic
 $2.240000 ↑ 430.3% more ↑ 118.8% more
#23 Claude Opus 4.8
Anthropic
 $2.240000 ↑ 430.3% more ↑ 118.8% more
#24 Claude Opus 4.6
Anthropic
 $2.240000 ↑ 430.3% more ↑ 118.8% more
#25 GPT-5.5
OpenAI
 $2.560000 ↑ 506.1% more ↑ 150% more
#26 GPT-5.5 Instant
OpenAI
 $2.560000 ↑ 506.1% more ↑ 150% more
#27 o3 Deep Research
OpenAI
 $3.840000 ↑ 809.1% more ↑ 275% more
#28 o3 Pro
OpenAI
 $7.680000 ↑ 1718.2% more ↑ 650% more
#29 GPT-5.5 Pro
OpenAI
 $15.360000 ↑ 3536.4% more ↑ 1400% more
#30 GPT-5.5 Pro
OpenAI
 $15.360000 ↑ 3536.4% more ↑ 1400% more
🏆

Llama 4 Maverick (400B)
Meta AI

$0.057600 (rounded ~ $0.06)
vs o4-mini: ↓ 86.4%
vs DeepSeek-R1-Lite: ↓ 94.4%
🥈

Grok Code Fast 1
xAI

$0.121600 (rounded ~ $0.12)
vs o4-mini: ↓ 71.2%
vs DeepSeek-R1-Lite: ↓ 88.1%
🥉

Gemini 3.1 Flash Lite
Google

$0.128000 (rounded ~ $0.13)
vs o4-mini: ↓ 69.7%
vs DeepSeek-R1-Lite: ↓ 87.5%
#4

Mistral Large 3
Mistral AI

$0.160000
vs o4-mini: ↓ 62.1%
vs DeepSeek-R1-Lite: ↓ 84.4%
#5

Gemini 2.5 Flash
Google

$0.198400 (rounded ~ $0.20)
vs o4-mini: ↓ 53%
vs DeepSeek-R1-Lite: ↓ 80.6%
#6

Gemini 3.1 Flash
Google

$0.256000 (rounded ~ $0.26)
vs o4-mini: ↓ 39.4%
vs DeepSeek-R1-Lite: ↓ 75%
#7

Kimi K2.5
Moonshot AI

$0.268800 (rounded ~ $0.27)
vs o4-mini: ↓ 36.4%
vs DeepSeek-R1-Lite: ↓ 73.8%
#8

Grok 4.3
xAI

$0.320000
vs o4-mini: ↓ 24.2%
vs DeepSeek-R1-Lite: ↓ 68.8%
#9

Kimi K2.6
Moonshot AI

$0.377600 (rounded ~ $0.38)
vs o4-mini: ↓ 10.6%
vs DeepSeek-R1-Lite: ↓ 63.1%
#10

GPT-5.4 mini
OpenAI

$0.384000 (rounded ~ $0.38)
vs o4-mini: ↓ 9.1%
vs DeepSeek-R1-Lite: ↓ 62.5%
#11

Claude Haiku 4.5
Anthropic

$0.448000 (rounded ~ $0.45)
vs o4-mini: ↑ 6.1%
vs DeepSeek-R1-Lite: ↓ 56.3%
#12

Grok 4.20 Beta
xAI

$0.640000
vs o4-mini: ↑ 51.5%
vs DeepSeek-R1-Lite: ↓ 37.5%
#13

Gemini 3.5 Flash
Google

$0.768000 (rounded ~ $0.77)
vs o4-mini: ↑ 81.8%
vs DeepSeek-R1-Lite: ↓ 25%
#14

Sonar Deep Research
Perplexity

$0.768000 (rounded ~ $0.77)
vs o4-mini: ↑ 81.8%
vs DeepSeek-R1-Lite: ↓ 25%
#15

Gemini 2.5 Pro
Google

$0.800000
vs o4-mini: ↑ 89.4%
vs DeepSeek-R1-Lite: ↓ 21.9%
#16

Gemini 3.1 Pro
Google

$1.024000 (rounded ~ $1.02)
vs o4-mini: ↑ 142.4%
vs DeepSeek-R1-Lite: Same
#17

GPT-5.3 Codex Spark
OpenAI

$1.120000
vs o4-mini: ↑ 165.2%
vs DeepSeek-R1-Lite: ↑ 9.4%
#18

GPT-5.4
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 25%
#19

GPT-5.4 Thinking
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 25%
#20

Claude Sonnet 4.6
Anthropic

$1.344000 (rounded ~ $1.34)
vs o4-mini: ↑ 218.2%
vs DeepSeek-R1-Lite: ↑ 31.3%
#21

Sonar Pro
Perplexity

$1.354000 (rounded ~ $1.35)
vs o4-mini: ↑ 220.5%
vs DeepSeek-R1-Lite: ↑ 32.2%
#22

Claude Opus 4.7
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 118.8%
#23

Claude Opus 4.8
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 118.8%
#24

Claude Opus 4.6
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 118.8%
#25

GPT-5.5
OpenAI

$2.560000
vs o4-mini: ↑ 506.1%
vs DeepSeek-R1-Lite: ↑ 150%
#26

GPT-5.5 Instant
OpenAI

$2.560000
vs o4-mini: ↑ 506.1%
vs DeepSeek-R1-Lite: ↑ 150%
#27

o3 Deep Research
OpenAI

$3.840000
vs o4-mini: ↑ 809.1%
vs DeepSeek-R1-Lite: ↑ 275%
#28

o3 Pro
OpenAI

$7.680000
vs o4-mini: ↑ 1718.2%
vs DeepSeek-R1-Lite: ↑ 650%
#29

GPT-5.5 Pro
OpenAI

$15.360000
vs o4-mini: ↑ 3536.4%
vs DeepSeek-R1-Lite: ↑ 1400%
#30

GPT-5.5 Pro
OpenAI

$15.360000
vs o4-mini: ↑ 3536.4%
vs DeepSeek-R1-Lite: ↑ 1400%
✨ 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.