o4-mini vs DeepSeek R1: Reasoning Cost per 10K-Token Pipeline

DeepSeek R1 is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

o4-mini vs DeepSeek R1
Complete Comparison: 10,000 input tokens × 500 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 98% savings) 📊 Batch API
Comparison Criteria o4-mini
OpenAI
DeepSeek R1
DeepSeek
Calculation Results (Current Inputs) (20% cached)
Input Tokens 10,000 10,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.002750Best $0.005500 (rounded ~ $0.01)Worst
Output Cost $0.000550Best $0.001095Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.002805 Best Value $0.005517 (rounded ~ $0.01) Most Expensive
Processing Time 1 minute, 2.60 seconds Fastest 1 minute, 33.81 seconds Slowest
Tokens per Second 180Fastest 120Slowest
Time to First Token 280ms Worst 220ms Best
Cost per 1K tokens $0.000267Best $0.000525Worst
Tokens per Dollar 3,743,316Best Value 1,903,208Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.275000 (rounded ~ $0.28)Best $0.550000Worst
Output Cost / 1M (Base) $1.100000Best $2.190000Worst
Input Cost / 1M (Optimized) $0.137500 (rounded ~ $0.14)Best
Optimizations: 50.0% batch
$0.550000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.550000Best
Optimizations: 50.0% batch
$2.190000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ 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)
20%
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

$0.002805 Total Cost
$0.002200 Input Cost
$0.000550 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,500Total Tokens
$0.000267Cost per 1K
3,743,316Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 2s Processing Time
180 Tokens/Second
280ms Time to First Token
168 Effective Speed

Model Comparison

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Model Information

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🔄 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

$0.002805
Total Cost
⚡ 20% Cached 📊 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 (from Plugin)

Base Cost (No Optimizations) $0.003300 Input: $0.002750
Output: $0.000550
Optimized Cost $0.002805 Input: $0.002750
Output: $0.000550
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000495 15.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.002750
  • Output Cost: $0.000550
  • Total Cost: $0.002805
  • Cost per 1K tokens: $0.000267
  • Tokens per dollar: 3,743,316 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: 1 minute, 2.60 seconds
  • Latency: 280 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 168 tokens/second (temperature-adjusted)

Best Use Cases

Choose o4-mini for enterprise-grade tool-calling and consistency; use DeepSeek R1 for cost-optimizeddeep reasoning-heavy tasks.

Want this applied to YOUR actual stack?

This calculator shows the math for o4-mini. 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.

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DeepSeek R1 DeepSeek

$0.005517 (rounded ~ $0.01)
Total Cost
⚠️ This model is now in Legacy mode. Results are based on last-known pricing.
⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.006595 (rounded ~ $0.01) Input: $0.005500 (rounded ~ $0.01)
Output: $0.001095
Optimized Cost $0.005517 (rounded ~ $0.01) Input: $0.005500 (rounded ~ $0.01)
Output: $0.001095
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001078 16.3% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.005500 (rounded ~ $0.01)
  • Output Cost: $0.001095
  • Total Cost: $0.005517 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000525
  • Tokens per dollar: 1,903,208 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: 1 minute, 33.81 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 112 tokens/second (temperature-adjusted)

Best Use Cases

Choose o4-mini for enterprise-grade tool-calling and consistency; use DeepSeek R1 for cost-optimizeddeep reasoning-heavy tasks.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek R1. 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: 10,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs o4-mini vs DeepSeek R1
🏆 Mistral Small 3
Mistral AI
 $0.000243 Best Value ↓ 91.4% cheaper ↓ 95.6% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000700 ↓ 75% cheaper ↓ 87.3% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.000928 ↓ 66.9% cheaper ↓ 83.2% cheaper
#4 Gemini 2.5 Flash
Google
 $0.000928 ↓ 66.9% cheaper ↓ 83.2% cheaper
#5 Mistral Large 3
Mistral AI
 $0.001213 ↓ 56.8% cheaper ↓ 78% cheaper
#6 Gemini 3.8 Flash
Google
 $0.002006 ↓ 28.5% cheaper ↓ 63.6% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.002100 ↓ 25.1% cheaper ↓ 61.9% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.002550 ↓ 9.1% cheaper ↓ 53.8% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.002675 ↓ 4.6% cheaper ↓ 51.5% cheaper
#10 Gemini 3.1 Flash
Google
 $0.002800 ↓ 0.2% cheaper ↓ 49.2% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.002800 ↓ 0.2% cheaper ↓ 49.2% cheaper
#12 Gemini 3.6 Flash
Google
 $0.004013 ↑ 43% more ↓ 27.3% cheaper
#13 Gemini 3.5 Flash
Google
 $0.004200 ↑ 49.7% more ↓ 23.9% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.005338 (rounded ~ $0.01) ↑ 90.3% more ↓ 3.3% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.005338 (rounded ~ $0.01) ↑ 90.3% more ↓ 3.3% cheaper
#16 Claude Sonnet 5
Anthropic
 $0.005350 (rounded ~ $0.01) ↑ 90.7% more ↓ 3% cheaper
#17 GPT-5.6 Terra
OpenAI
 $0.007000 (rounded ~ $0.01) ↑ 149.6% more ↑ 26.9% more
#18 Gemini 2.5 Pro
Google
 $0.007625 (rounded ~ $0.01) ↑ 171.8% more ↑ 38.2% more
#19 Claude Sonnet 4.6
Anthropic
 $0.008025 (rounded ~ $0.01) ↑ 186.1% more ↑ 45.5% more
#20 Grok 4.3
xAI
 $0.009200 ↑ 228% more ↑ 66.8% more
#21 Grok 4.20 Beta
xAI
 $0.009200 ↑ 228% more ↑ 66.8% more
#22 Gemini 3.1 Pro
Google
 $0.011200 (rounded ~ $0.01) ↑ 299.3% more ↑ 103% more
#23 Claude Opus 4.7
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 376.8% more ↑ 142.4% more
#24 Claude Opus 5
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 376.8% more ↑ 142.4% more
#25 Claude Opus 4.8
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 376.8% more ↑ 142.4% more
#26 Claude Opus 4.6
Anthropic
 $0.013375 (rounded ~ $0.01) ↑ 376.8% more ↑ 142.4% more
#27 GPT-5.4
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 399.1% more ↑ 153.8% more
#28 GPT-5.4 Thinking
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 399.1% more ↑ 153.8% more
#29 GPT-5.5 Instant
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 399.1% more ↑ 153.8% more
#30 GPT-5.6 Sol
OpenAI
 $0.014000 (rounded ~ $0.01) ↑ 399.1% more ↑ 153.8% more
#31 o3 Deep Research
OpenAI
 $0.025500 (rounded ~ $0.03) ↑ 809.1% more ↑ 362.2% more
#32 Claude Fable 5.1
Anthropic
 $0.026375 (rounded ~ $0.03) ↑ 840.3% more ↑ 378.1% more
#33 Claude Mythos 5.1
Anthropic
 $0.026375 (rounded ~ $0.03) ↑ 840.3% more ↑ 378.1% more
#34 Claude Fable 5
Anthropic
 $0.026750 (rounded ~ $0.03) ↑ 853.7% more ↑ 384.9% more
#35 Claude Mythos 5
Anthropic
 $0.026750 (rounded ~ $0.03) ↑ 853.7% more ↑ 384.9% more
#36 GPT-5.5
OpenAI
 $0.028000 (rounded ~ $0.03) ↑ 898.2% more ↑ 407.5% more
#37 o3 Pro
OpenAI
 $0.051000 (rounded ~ $0.05) ↑ 1718.2% more ↑ 824.4% more
#38 GPT-6 Astra
OpenAI
 $0.053500 (rounded ~ $0.05) ↑ 1807.3% more ↑ 869.7% more
#39 GPT-5.2 Pro
OpenAI
 $0.064050 (rounded ~ $0.06) ↑ 2183.4% more ↑ 1061% more
#40 GPT-5.2 Pro
OpenAI
 $0.064050 (rounded ~ $0.06) ↑ 2183.4% more ↑ 1061% more
🏆

Mistral Small 3
Mistral AI

$0.000243
vs o4-mini: ↓ 91.4%
vs DeepSeek R1: ↓ 95.6%
🥈

Gemini 3.1 Flash Lite
Google

$0.000700
vs o4-mini: ↓ 75%
vs DeepSeek R1: ↓ 87.3%
🥉

Gemini 3.5 Flash-Lite
Google

$0.000928
vs o4-mini: ↓ 66.9%
vs DeepSeek R1: ↓ 83.2%
#4

Gemini 2.5 Flash
Google

$0.000928
vs o4-mini: ↓ 66.9%
vs DeepSeek R1: ↓ 83.2%
#5

Mistral Large 3
Mistral AI

$0.001213
vs o4-mini: ↓ 56.8%
vs DeepSeek R1: ↓ 78%
#6

Gemini 3.8 Flash
Google

$0.002006
vs o4-mini: ↓ 28.5%
vs DeepSeek R1: ↓ 63.6%
#7

GPT-5.4 mini
OpenAI

$0.002100
vs o4-mini: ↓ 25.1%
vs DeepSeek R1: ↓ 61.9%
#8

o4-mini Deep Research
OpenAI

$0.002550
vs o4-mini: ↓ 9.1%
vs DeepSeek R1: ↓ 53.8%
#9

Claude Haiku 4.5
Anthropic

$0.002675
vs o4-mini: ↓ 4.6%
vs DeepSeek R1: ↓ 51.5%
#10

Gemini 3.1 Flash
Google

$0.002800
vs o4-mini: ↓ 0.2%
vs DeepSeek R1: ↓ 49.2%
#11

GPT-5.6 Luna
OpenAI

$0.002800
vs o4-mini: ↓ 0.2%
vs DeepSeek R1: ↓ 49.2%
#12

Gemini 3.6 Flash
Google

$0.004013
vs o4-mini: ↑ 43%
vs DeepSeek R1: ↓ 27.3%
#13

Gemini 3.5 Flash
Google

$0.004200
vs o4-mini: ↑ 49.7%
vs DeepSeek R1: ↓ 23.9%
#14

GPT-5.3 Codex Spark
OpenAI

$0.005338 (rounded ~ $0.01)
vs o4-mini: ↑ 90.3%
vs DeepSeek R1: ↓ 3.3%
#15

GPT-5.3 Instant
OpenAI

$0.005338 (rounded ~ $0.01)
vs o4-mini: ↑ 90.3%
vs DeepSeek R1: ↓ 3.3%
#16

Claude Sonnet 5
Anthropic

$0.005350 (rounded ~ $0.01)
vs o4-mini: ↑ 90.7%
vs DeepSeek R1: ↓ 3%
#17

GPT-5.6 Terra
OpenAI

$0.007000 (rounded ~ $0.01)
vs o4-mini: ↑ 149.6%
vs DeepSeek R1: ↑ 26.9%
#18

Gemini 2.5 Pro
Google

$0.007625 (rounded ~ $0.01)
vs o4-mini: ↑ 171.8%
vs DeepSeek R1: ↑ 38.2%
#19

Claude Sonnet 4.6
Anthropic

$0.008025 (rounded ~ $0.01)
vs o4-mini: ↑ 186.1%
vs DeepSeek R1: ↑ 45.5%
#20

Grok 4.3
xAI

$0.009200
vs o4-mini: ↑ 228%
vs DeepSeek R1: ↑ 66.8%
#21

Grok 4.20 Beta
xAI

$0.009200
vs o4-mini: ↑ 228%
vs DeepSeek R1: ↑ 66.8%
#22

Gemini 3.1 Pro
Google

$0.011200 (rounded ~ $0.01)
vs o4-mini: ↑ 299.3%
vs DeepSeek R1: ↑ 103%
#23

Claude Opus 4.7
Anthropic

$0.013375 (rounded ~ $0.01)
vs o4-mini: ↑ 376.8%
vs DeepSeek R1: ↑ 142.4%
#24

Claude Opus 5
Anthropic

$0.013375 (rounded ~ $0.01)
vs o4-mini: ↑ 376.8%
vs DeepSeek R1: ↑ 142.4%
#25

Claude Opus 4.8
Anthropic

$0.013375 (rounded ~ $0.01)
vs o4-mini: ↑ 376.8%
vs DeepSeek R1: ↑ 142.4%
#26

Claude Opus 4.6
Anthropic

$0.013375 (rounded ~ $0.01)
vs o4-mini: ↑ 376.8%
vs DeepSeek R1: ↑ 142.4%
#27

GPT-5.4
OpenAI

$0.014000 (rounded ~ $0.01)
vs o4-mini: ↑ 399.1%
vs DeepSeek R1: ↑ 153.8%
#28

GPT-5.4 Thinking
OpenAI

$0.014000 (rounded ~ $0.01)
vs o4-mini: ↑ 399.1%
vs DeepSeek R1: ↑ 153.8%
#29

GPT-5.5 Instant
OpenAI

$0.014000 (rounded ~ $0.01)
vs o4-mini: ↑ 399.1%
vs DeepSeek R1: ↑ 153.8%
#30

GPT-5.6 Sol
OpenAI

$0.014000 (rounded ~ $0.01)
vs o4-mini: ↑ 399.1%
vs DeepSeek R1: ↑ 153.8%
#31

o3 Deep Research
OpenAI

$0.025500 (rounded ~ $0.03)
vs o4-mini: ↑ 809.1%
vs DeepSeek R1: ↑ 362.2%
#32

Claude Fable 5.1
Anthropic

$0.026375 (rounded ~ $0.03)
vs o4-mini: ↑ 840.3%
vs DeepSeek R1: ↑ 378.1%
#33

Claude Mythos 5.1
Anthropic

$0.026375 (rounded ~ $0.03)
vs o4-mini: ↑ 840.3%
vs DeepSeek R1: ↑ 378.1%
#34

Claude Fable 5
Anthropic

$0.026750 (rounded ~ $0.03)
vs o4-mini: ↑ 853.7%
vs DeepSeek R1: ↑ 384.9%
#35

Claude Mythos 5
Anthropic

$0.026750 (rounded ~ $0.03)
vs o4-mini: ↑ 853.7%
vs DeepSeek R1: ↑ 384.9%
#36

GPT-5.5
OpenAI

$0.028000 (rounded ~ $0.03)
vs o4-mini: ↑ 898.2%
vs DeepSeek R1: ↑ 407.5%
#37

o3 Pro
OpenAI

$0.051000 (rounded ~ $0.05)
vs o4-mini: ↑ 1718.2%
vs DeepSeek R1: ↑ 824.4%
#38

GPT-6 Astra
OpenAI

$0.053500 (rounded ~ $0.05)
vs o4-mini: ↑ 1807.3%
vs DeepSeek R1: ↑ 869.7%
#39

GPT-5.2 Pro
OpenAI

$0.064050 (rounded ~ $0.06)
vs o4-mini: ↑ 2183.4%
vs DeepSeek R1: ↑ 1061%
#40

GPT-5.2 Pro
OpenAI

$0.064050 (rounded ~ $0.06)
vs o4-mini: ↑ 2183.4%
vs DeepSeek R1: ↑ 1061%
✨ 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.

Selecting the right reasoning model for agentic pipelines requires a careful look at how each architecture handles complex, multi-step logic. Both o4-mini and DeepSeek R1 are formidable contenders for back-office automation, but they offer distinct trade-offs for developers managing 10K-token reasoning tasks.

o4-mini is engineered for seamless integration within established enterprise ecosystems. Its strength lies in its predictable tool-use and stable reasoning, which is essential for agents tasked with sensitive operations like legal document review or financial data extraction. It excels when you need a model that follows complex, nested instructions without deviating from the established workflow or safety guidelines. If your priority is reliability and tight cohesion with existing platform tools, this is often the path of least resistance.

Conversely, DeepSeek R1 has carved out a niche as the efficiency king for logic-heavy, open-ended tasks. It is frequently preferred in scenarios where the agent must perform deep research or complex code refactoring, providing high-effort reasoning that can outperform more generalized models on pure logical puzzles. Because it is highly optimized for reasoning, it often delivers high-quality outputs at a significantly lower throughput cost, making it an attractive option for developers who are scaling their agents and are highly sensitive to unit economics.

Ultimately, the decision rests on your infrastructure requirements. Choose o4-mini if your agentic architecture prioritizes vendor-supported tooling and consistency. Pivot to DeepSeek R1 if you are building highly autonomous, logic-intensive agents that can operate effectively on independent reasoning tasks with minimal external dependency.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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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