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) Most Expensive $0.035840 (rounded ~ $0.04) Best Value
Processing Time 18 minutes, 50.85 seconds Slowest 5 minutes, 13.29 seconds Fastest
Tokens per Second 180 N/A (Special Pricing)
Time to First Token 280ms Worst 95ms 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 ✓ Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ 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

$0.422400 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

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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 1000000

$0.035840 (rounded ~ $0.04)
Total Cost
🔧 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
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.035840 (rounded ~ $0.04) Input: $0.017920 (rounded ~ $0.02)
Output: $0.017920 (rounded ~ $0.02)
Optimized Cost $0.035840 (rounded ~ $0.04) Input: $0.017920 (rounded ~ $0.02)
Output: $0.017920 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.017920 (rounded ~ $0.02)
  • Output Cost: $0.017920 (rounded ~ $0.02)
  • Total Cost: $0.035840 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000187
  • Tokens per dollar: 5,357,143 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

  • Processing Time: 5 minutes, 13.29 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 613 tokens/second (temperature-adjusted)

Best Use Cases

Student TutorsLogic-heavy Chatbots

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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.

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✨ 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 ↑ 60.7% more
🥈 Grok Code Fast 1
xAI
 $0.121600 (rounded ~ $0.12) ↓ 71.2% cheaper ↑ 239.3% more
🥉 Gemini 3.1 Flash Lite
Google
 $0.128000 (rounded ~ $0.13) ↓ 69.7% cheaper ↑ 257.1% more
#4 Mistral Large 3
Mistral AI
 $0.160000 ↓ 62.1% cheaper ↑ 346.4% more
#5 Gemini 3.5 Flash-Lite
Google
 $0.198400 (rounded ~ $0.20) ↓ 53% cheaper ↑ 453.6% more
#6 Gemini 2.5 Flash
Google
 $0.198400 (rounded ~ $0.20) ↓ 53% cheaper ↑ 453.6% more
#7 Gemini 3.1 Flash
Google
 $0.256000 (rounded ~ $0.26) ↓ 39.4% cheaper ↑ 614.3% more
#8 Grok Build 0.1
xAI
 $0.256000 (rounded ~ $0.26) ↓ 39.4% cheaper ↑ 614.3% more
#9 Kimi K2.5
Moonshot AI
 $0.268800 (rounded ~ $0.27) ↓ 36.4% cheaper ↑ 650% more
#10 Grok 4.3
xAI
 $0.320000 ↓ 24.2% cheaper ↑ 792.9% more
#11 Grok 4.20 Beta
xAI
 $0.320000 ↓ 24.2% cheaper ↑ 792.9% more
#12 Gemini 3.8 Flash
Google
 $0.336000 (rounded ~ $0.34) ↓ 20.5% cheaper ↑ 837.5% more
#13 Kimi K2.6
Moonshot AI
 $0.377600 (rounded ~ $0.38) ↓ 10.6% cheaper ↑ 953.6% more
#14 Kimi K2.7 Code
Moonshot AI
 $0.377600 (rounded ~ $0.38) ↓ 10.6% cheaper ↑ 953.6% more
#15 GPT-5.4 mini
OpenAI
 $0.384000 (rounded ~ $0.38) ↓ 9.1% cheaper ↑ 971.4% more
#16 Muse Spark 1.3
Meta AI
 $0.432000 (rounded ~ $0.43) ↑ 2.3% more ↑ 1105.4% more
#17 Claude Haiku 4.5
Anthropic
 $0.448000 (rounded ~ $0.45) ↑ 6.1% more ↑ 1150% more
#18 GPT-5.6 Luna
OpenAI
 $0.512000 (rounded ~ $0.51) ↑ 21.2% more ↑ 1328.6% more
#19 Grok 4.6
xAI
 $0.640000 ↑ 51.5% more ↑ 1685.7% more
#20 Grok 4.5
xAI
 $0.640000 ↑ 51.5% more ↑ 1685.7% more
#21 Gemini 3.6 Flash
Google
 $0.672000 (rounded ~ $0.67) ↑ 59.1% more ↑ 1775% more
#22 Gemini 3.5 Flash
Google
 $0.768000 (rounded ~ $0.77) ↑ 81.8% more ↑ 2042.9% more
#23 Sonar Deep Research
Perplexity
 $0.768000 (rounded ~ $0.77) ↑ 81.8% more ↑ 2042.9% more
#24 Gemini 2.5 Pro
Google
 $0.800000 ↑ 89.4% more ↑ 2132.1% more
#25 Claude Sonnet 5
Anthropic
 $0.896000 (rounded ~ $0.90) ↑ 112.1% more ↑ 2400% more
#26 Gemini 3.1 Pro
Google
 $1.024000 (rounded ~ $1.02) ↑ 142.4% more ↑ 2757.1% more
#27 GPT-5.3 Codex Spark
OpenAI
 $1.120000 ↑ 165.2% more ↑ 3025% more
#28 GPT-5.4
OpenAI
 $1.280000 ↑ 203% more ↑ 3471.4% more
#29 GPT-5.4 Thinking
OpenAI
 $1.280000 ↑ 203% more ↑ 3471.4% more
#30 GPT-5.6 Terra
OpenAI
 $1.280000 ↑ 203% more ↑ 3471.4% more
#31 Claude Sonnet 4.6
Anthropic
 $1.344000 (rounded ~ $1.34) ↑ 218.2% more ↑ 3650% more
#32 Sonar Pro
Perplexity
 $1.354000 (rounded ~ $1.35) ↑ 220.5% more ↑ 3677.9% more
#33 Claude Opus 4.7
Anthropic
 $2.240000 ↑ 430.3% more ↑ 6150% more
#34 Claude Opus 5
Anthropic
 $2.240000 ↑ 430.3% more ↑ 6150% more
#35 Claude Opus 4.8
Anthropic
 $2.240000 ↑ 430.3% more ↑ 6150% more
#36 Claude Opus 4.6
Anthropic
 $2.240000 ↑ 430.3% more ↑ 6150% more
#37 GPT-5.5
OpenAI
 $2.560000 ↑ 506.1% more ↑ 7042.9% more
#38 GPT-5.5 Instant
OpenAI
 $2.560000 ↑ 506.1% more ↑ 7042.9% more
#39 GPT-5.6 Sol
OpenAI
 $2.560000 ↑ 506.1% more ↑ 7042.9% more
#40 o3 Deep Research
OpenAI
 $3.840000 ↑ 809.1% more ↑ 10614.3% more
#41 Claude Fable 5.1
Anthropic
 $4.480000 ↑ 960.6% more ↑ 12400% more
#42 Claude Mythos 5.1
Anthropic
 $4.480000 ↑ 960.6% more ↑ 12400% more
#43 Claude Fable 5
Anthropic
 $4.480000 ↑ 960.6% more ↑ 12400% more
#44 Claude Mythos 5
Anthropic
 $4.480000 ↑ 960.6% more ↑ 12400% more
#45 GPT-6 Astra
OpenAI
 $4.480000 ↑ 960.6% more ↑ 12400% more
#46 o3 Pro
OpenAI
 $7.680000 ↑ 1718.2% more ↑ 21328.6% more
#47 GPT-5.5 Pro
OpenAI
 $15.360000 ↑ 3536.4% more ↑ 42757.1% more
#48 GPT-5.5 Pro
OpenAI
 $15.360000 ↑ 3536.4% more ↑ 42757.1% more
🏆

Llama 4 Maverick (400B)
Meta AI

$0.057600 (rounded ~ $0.06)
vs o4-mini: ↓ 86.4%
vs DeepSeek-R1-Lite: ↑ 60.7%
🥈

Grok Code Fast 1
xAI

$0.121600 (rounded ~ $0.12)
vs o4-mini: ↓ 71.2%
vs DeepSeek-R1-Lite: ↑ 239.3%
🥉

Gemini 3.1 Flash Lite
Google

$0.128000 (rounded ~ $0.13)
vs o4-mini: ↓ 69.7%
vs DeepSeek-R1-Lite: ↑ 257.1%
#4

Mistral Large 3
Mistral AI

$0.160000
vs o4-mini: ↓ 62.1%
vs DeepSeek-R1-Lite: ↑ 346.4%
#5

Gemini 3.5 Flash-Lite
Google

$0.198400 (rounded ~ $0.20)
vs o4-mini: ↓ 53%
vs DeepSeek-R1-Lite: ↑ 453.6%
#6

Gemini 2.5 Flash
Google

$0.198400 (rounded ~ $0.20)
vs o4-mini: ↓ 53%
vs DeepSeek-R1-Lite: ↑ 453.6%
#7

Gemini 3.1 Flash
Google

$0.256000 (rounded ~ $0.26)
vs o4-mini: ↓ 39.4%
vs DeepSeek-R1-Lite: ↑ 614.3%
#8

Grok Build 0.1
xAI

$0.256000 (rounded ~ $0.26)
vs o4-mini: ↓ 39.4%
vs DeepSeek-R1-Lite: ↑ 614.3%
#9

Kimi K2.5
Moonshot AI

$0.268800 (rounded ~ $0.27)
vs o4-mini: ↓ 36.4%
vs DeepSeek-R1-Lite: ↑ 650%
#10

Grok 4.3
xAI

$0.320000
vs o4-mini: ↓ 24.2%
vs DeepSeek-R1-Lite: ↑ 792.9%
#11

Grok 4.20 Beta
xAI

$0.320000
vs o4-mini: ↓ 24.2%
vs DeepSeek-R1-Lite: ↑ 792.9%
#12

Gemini 3.8 Flash
Google

$0.336000 (rounded ~ $0.34)
vs o4-mini: ↓ 20.5%
vs DeepSeek-R1-Lite: ↑ 837.5%
#13

Kimi K2.6
Moonshot AI

$0.377600 (rounded ~ $0.38)
vs o4-mini: ↓ 10.6%
vs DeepSeek-R1-Lite: ↑ 953.6%
#14

Kimi K2.7 Code
Moonshot AI

$0.377600 (rounded ~ $0.38)
vs o4-mini: ↓ 10.6%
vs DeepSeek-R1-Lite: ↑ 953.6%
#15

GPT-5.4 mini
OpenAI

$0.384000 (rounded ~ $0.38)
vs o4-mini: ↓ 9.1%
vs DeepSeek-R1-Lite: ↑ 971.4%
#16

Muse Spark 1.3
Meta AI

$0.432000 (rounded ~ $0.43)
vs o4-mini: ↑ 2.3%
vs DeepSeek-R1-Lite: ↑ 1105.4%
#17

Claude Haiku 4.5
Anthropic

$0.448000 (rounded ~ $0.45)
vs o4-mini: ↑ 6.1%
vs DeepSeek-R1-Lite: ↑ 1150%
#18

GPT-5.6 Luna
OpenAI

$0.512000 (rounded ~ $0.51)
vs o4-mini: ↑ 21.2%
vs DeepSeek-R1-Lite: ↑ 1328.6%
#19

Grok 4.6
xAI

$0.640000
vs o4-mini: ↑ 51.5%
vs DeepSeek-R1-Lite: ↑ 1685.7%
#20

Grok 4.5
xAI

$0.640000
vs o4-mini: ↑ 51.5%
vs DeepSeek-R1-Lite: ↑ 1685.7%
#21

Gemini 3.6 Flash
Google

$0.672000 (rounded ~ $0.67)
vs o4-mini: ↑ 59.1%
vs DeepSeek-R1-Lite: ↑ 1775%
#22

Gemini 3.5 Flash
Google

$0.768000 (rounded ~ $0.77)
vs o4-mini: ↑ 81.8%
vs DeepSeek-R1-Lite: ↑ 2042.9%
#23

Sonar Deep Research
Perplexity

$0.768000 (rounded ~ $0.77)
vs o4-mini: ↑ 81.8%
vs DeepSeek-R1-Lite: ↑ 2042.9%
#24

Gemini 2.5 Pro
Google

$0.800000
vs o4-mini: ↑ 89.4%
vs DeepSeek-R1-Lite: ↑ 2132.1%
#25

Claude Sonnet 5
Anthropic

$0.896000 (rounded ~ $0.90)
vs o4-mini: ↑ 112.1%
vs DeepSeek-R1-Lite: ↑ 2400%
#26

Gemini 3.1 Pro
Google

$1.024000 (rounded ~ $1.02)
vs o4-mini: ↑ 142.4%
vs DeepSeek-R1-Lite: ↑ 2757.1%
#27

GPT-5.3 Codex Spark
OpenAI

$1.120000
vs o4-mini: ↑ 165.2%
vs DeepSeek-R1-Lite: ↑ 3025%
#28

GPT-5.4
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 3471.4%
#29

GPT-5.4 Thinking
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 3471.4%
#30

GPT-5.6 Terra
OpenAI

$1.280000
vs o4-mini: ↑ 203%
vs DeepSeek-R1-Lite: ↑ 3471.4%
#31

Claude Sonnet 4.6
Anthropic

$1.344000 (rounded ~ $1.34)
vs o4-mini: ↑ 218.2%
vs DeepSeek-R1-Lite: ↑ 3650%
#32

Sonar Pro
Perplexity

$1.354000 (rounded ~ $1.35)
vs o4-mini: ↑ 220.5%
vs DeepSeek-R1-Lite: ↑ 3677.9%
#33

Claude Opus 4.7
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 6150%
#34

Claude Opus 5
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 6150%
#35

Claude Opus 4.8
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 6150%
#36

Claude Opus 4.6
Anthropic

$2.240000
vs o4-mini: ↑ 430.3%
vs DeepSeek-R1-Lite: ↑ 6150%
#37

GPT-5.5
OpenAI

$2.560000
vs o4-mini: ↑ 506.1%
vs DeepSeek-R1-Lite: ↑ 7042.9%
#38

GPT-5.5 Instant
OpenAI

$2.560000
vs o4-mini: ↑ 506.1%
vs DeepSeek-R1-Lite: ↑ 7042.9%
#39

GPT-5.6 Sol
OpenAI

$2.560000
vs o4-mini: ↑ 506.1%
vs DeepSeek-R1-Lite: ↑ 7042.9%
#40

o3 Deep Research
OpenAI

$3.840000
vs o4-mini: ↑ 809.1%
vs DeepSeek-R1-Lite: ↑ 10614.3%
#41

Claude Fable 5.1
Anthropic

$4.480000
vs o4-mini: ↑ 960.6%
vs DeepSeek-R1-Lite: ↑ 12400%
#42

Claude Mythos 5.1
Anthropic

$4.480000
vs o4-mini: ↑ 960.6%
vs DeepSeek-R1-Lite: ↑ 12400%
#43

Claude Fable 5
Anthropic

$4.480000
vs o4-mini: ↑ 960.6%
vs DeepSeek-R1-Lite: ↑ 12400%
#44

Claude Mythos 5
Anthropic

$4.480000
vs o4-mini: ↑ 960.6%
vs DeepSeek-R1-Lite: ↑ 12400%
#45

GPT-6 Astra
OpenAI

$4.480000
vs o4-mini: ↑ 960.6%
vs DeepSeek-R1-Lite: ↑ 12400%
#46

o3 Pro
OpenAI

$7.680000
vs o4-mini: ↑ 1718.2%
vs DeepSeek-R1-Lite: ↑ 21328.6%
#47

GPT-5.5 Pro
OpenAI

$15.360000
vs o4-mini: ↑ 3536.4%
vs DeepSeek-R1-Lite: ↑ 42757.1%
#48

GPT-5.5 Pro
OpenAI

$15.360000
vs o4-mini: ↑ 3536.4%
vs DeepSeek-R1-Lite: ↑ 42757.1%
✨ 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.

Related model pricing

o4-mini currently costs $1.10 / $4.40 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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