Reasoning API Comparison: o3 Pro vs DeepSeek R1 for 500,000-Token Batches (1B Monthly Scale)

o3 Pro vs DeepSeek R1
Complete Comparison: 500,000 input tokens × 5,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria o3 Pro
OpenAI
DeepSeek R1
DeepSeek
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500,000 500,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $2.500000Worst $0.134750 (rounded ~ $0.13)Best
Output Cost $0.100000Worst $0.005366 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.475000 (rounded ~ $1.48) Most Expensive $0.079478 Best Value
Processing Time 25 minutes, 29.61 seconds Fastest 1 hour, 14 minutes, 21.01 seconds Slowest
Tokens per Second 350Fastest 120Slowest
Time to First Token 300ms Worst 220ms Best
Cost per 1K tokens $0.002921Worst $0.000157Best
Tokens per Dollar 342,373Worst Value 6,353,960Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $0.269500Best
Output Cost / 1M (Base) $20.000000Worst $1.073100 (rounded ~ $1.07)Best
Input Cost / 1M (Optimized) $2.500000Worst
Optimizations: 50.0% batch
$0.188650 (rounded ~ $0.19)Best
Optimizations: 30.0% batch
Output Cost / 1M (Optimized) $10.000000Worst
Optimizations: 50.0% batch
$0.751170 (rounded ~ $0.75)Best
Optimizations: 30.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
Scroll horizontally to see all data

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.

Select AI Model

o3 Pro
OpenAIMax Context: 200,000 tokens
$20 / $80 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
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

$1.475000 Total Cost
$1.250000 Input Cost
$0.100000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
505,000Total Tokens
$0.002921Cost per 1K
342,373Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

25m 29s Processing Time
350 Tokens/Second
300ms Time to First Token
330 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.

o3 Pro OpenAI

$1.475000 (rounded ~ $1.48)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.
⚡ 50% 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) $2.600000 Input: $2.500000
Output: $0.100000
Optimized Cost $1.475000 (rounded ~ $1.48) Input: $2.500000
Output: $0.100000
Unit: $0.000000
Fees: $0.000000
Total Savings $1.125000 (rounded ~ $1.13) 43.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 5,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.100000
  • Total Cost: $1.475000 (rounded ~ $1.48)
  • Cost per 1K tokens: $0.002921
  • Tokens per dollar: 342,373 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 300ms time to first token:

  • Processing Time: 25 minutes, 29.61 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 330 tokens/second (temperature-adjusted)

Best Use Cases

Use o3 Pro for criticalhigh-complexity logic; utilize DeepSeek R1 for efficienthigh-volume reasoning tasks to balance performance and spend.

Want this applied to YOUR actual stack?

This calculator shows the math for o3 Pro. 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 →

DeepSeek R1 DeepSeek

$0.079478
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 163,840 tokens. Budgeting mode active.
⚡ 50% 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
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.140116 Input: $0.134750 (rounded ~ $0.13)
Output: $0.005366 (rounded ~ $0.01)
Optimized Cost $0.079478 Input: $0.134750 (rounded ~ $0.13)
Output: $0.005366 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.060638 43.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
30.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.134750 (rounded ~ $0.13)
  • Output Cost: $0.005366 (rounded ~ $0.01)
  • Total Cost: $0.079478
  • Cost per 1K tokens: $0.000157
  • Tokens per dollar: 6,353,960 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 hour, 14 minutes, 21.01 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 113 tokens/second (temperature-adjusted)

Best Use Cases

Use o3 Pro for criticalhigh-complexity logic; utilize DeepSeek R1 for efficienthigh-volume reasoning tasks to balance performance and spend.

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 o3 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Pro vs DeepSeek R1
🏆 Gemini 3.1 Flash Lite
Google
 $0.019063 Best Value ↓ 98.7% cheaper ↓ 76% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.023750 (rounded ~ $0.02) ↓ 98.4% cheaper ↓ 70.1% cheaper
🥉 Grok 4.3
xAI
 $0.089063 ↓ 94% cheaper ↑ 12.1% more
#4 Gemini 3.5 Flash
Google
 $0.114375 (rounded ~ $0.11) ↓ 92.2% cheaper ↑ 43.9% more
#5 Grok 4.20 Beta
xAI
 $0.145000 (rounded ~ $0.15) ↓ 90.2% cheaper ↑ 82.4% more
#6 Gemini 3.1 Flash
Google
 $0.152500 (rounded ~ $0.15) ↓ 89.7% cheaper ↑ 91.9% more
#7 Claude Sonnet 4.6
Anthropic
 $0.225000 (rounded ~ $0.23) ↓ 84.7% cheaper ↑ 183.1% more
#8 Claude Opus 4.7
Anthropic
 $0.375000 (rounded ~ $0.38) ↓ 74.6% cheaper ↑ 371.8% more
#9 Claude Opus 4.8
Anthropic
 $0.375000 (rounded ~ $0.38) ↓ 74.6% cheaper ↑ 371.8% more
#10 Claude Opus 4.6
Anthropic
 $0.375000 (rounded ~ $0.38) ↓ 74.6% cheaper ↑ 371.8% more
#11 Gemini 2.5 Pro
Google
 $0.381250 (rounded ~ $0.38) ↓ 74.2% cheaper ↑ 379.7% more
#12 Gemini 3.1 Pro
Google
 $0.595000 (rounded ~ $0.60) ↓ 59.7% cheaper ↑ 648.6% more
#13 GPT-5.4
OpenAI
 $0.743750 (rounded ~ $0.74) ↓ 49.6% cheaper ↑ 835.8% more
#14 GPT-5.4 Thinking
OpenAI
 $0.743750 (rounded ~ $0.74) ↓ 49.6% cheaper ↑ 835.8% more
#15 GPT-5.5
OpenAI
 $1.487500 (rounded ~ $1.49) ↑ 0.8% more ↑ 1771.6% more
#16 GPT-5.5
OpenAI
 $1.487500 (rounded ~ $1.49) ↑ 0.8% more ↑ 1771.6% more
🏆

Gemini 3.1 Flash Lite
Google

$0.019063
vs o3 Pro: ↓ 98.7%
vs DeepSeek R1: ↓ 76%
🥈

Gemini 2.5 Flash
Google

$0.023750 (rounded ~ $0.02)
vs o3 Pro: ↓ 98.4%
vs DeepSeek R1: ↓ 70.1%
🥉

Grok 4.3
xAI

$0.089063
vs o3 Pro: ↓ 94%
vs DeepSeek R1: ↑ 12.1%
#4

Gemini 3.5 Flash
Google

$0.114375 (rounded ~ $0.11)
vs o3 Pro: ↓ 92.2%
vs DeepSeek R1: ↑ 43.9%
#5

Grok 4.20 Beta
xAI

$0.145000 (rounded ~ $0.15)
vs o3 Pro: ↓ 90.2%
vs DeepSeek R1: ↑ 82.4%
#6

Gemini 3.1 Flash
Google

$0.152500 (rounded ~ $0.15)
vs o3 Pro: ↓ 89.7%
vs DeepSeek R1: ↑ 91.9%
#7

Claude Sonnet 4.6
Anthropic

$0.225000 (rounded ~ $0.23)
vs o3 Pro: ↓ 84.7%
vs DeepSeek R1: ↑ 183.1%
#8

Claude Opus 4.7
Anthropic

$0.375000 (rounded ~ $0.38)
vs o3 Pro: ↓ 74.6%
vs DeepSeek R1: ↑ 371.8%
#9

Claude Opus 4.8
Anthropic

$0.375000 (rounded ~ $0.38)
vs o3 Pro: ↓ 74.6%
vs DeepSeek R1: ↑ 371.8%
#10

Claude Opus 4.6
Anthropic

$0.375000 (rounded ~ $0.38)
vs o3 Pro: ↓ 74.6%
vs DeepSeek R1: ↑ 371.8%
#11

Gemini 2.5 Pro
Google

$0.381250 (rounded ~ $0.38)
vs o3 Pro: ↓ 74.2%
vs DeepSeek R1: ↑ 379.7%
#12

Gemini 3.1 Pro
Google

$0.595000 (rounded ~ $0.60)
vs o3 Pro: ↓ 59.7%
vs DeepSeek R1: ↑ 648.6%
#13

GPT-5.4
OpenAI

$0.743750 (rounded ~ $0.74)
vs o3 Pro: ↓ 49.6%
vs DeepSeek R1: ↑ 835.8%
#14

GPT-5.4 Thinking
OpenAI

$0.743750 (rounded ~ $0.74)
vs o3 Pro: ↓ 49.6%
vs DeepSeek R1: ↑ 835.8%
#15

GPT-5.5
OpenAI

$1.487500 (rounded ~ $1.49)
vs o3 Pro: ↑ 0.8%
vs DeepSeek R1: ↑ 1771.6%
#16

GPT-5.5
OpenAI

$1.487500 (rounded ~ $1.49)
vs o3 Pro: ↑ 0.8%
vs DeepSeek R1: ↑ 1771.6%
✨ 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.

Balancing High-Stakes Reasoning and Efficiency

At the 1-billion-token monthly scale, reasoning models represent a significant investment in computational resources. The choice between OpenAI’s o3 Pro and DeepSeek R1 is fundamentally a strategic decision regarding where to allocate your reasoning budget. o3 Pro is engineered for top-tier performance on complex problem-solving, coding, and mathematical benchmarks. It excels when the task demands the absolute highest level of reliability and logical depth, functioning as the premier choice for high-stakes enterprise applications where an error could have significant operational consequences.

DeepSeek R1, by contrast, offers a highly optimized alternative that prioritizes efficiency and throughput. Its architecture is particularly well-suited for organizations that need strong reasoning capabilities but must maintain strict control over infrastructure costs. For tasks where the reasoning overhead does not require the maximum depth of o3 Pro, R1 provides a compelling balance, allowing teams to extend their reasoning coverage across a broader set of use cases.

For large-scale pipelines, many engineering teams are adopting a routing architecture. By deploying o3 Pro for critical, high-complexity reasoning tasks and routing routine, lower-stakes logic to DeepSeek R1, companies can achieve a blended cost profile without sacrificing the overall quality of their system. Evaluating these models requires looking beyond raw benchmark scores to the operational realities of your workload—specifically, how often your agents truly require maximum-effort reasoning versus when a high-efficiency model can adequately solve the problem at a fraction of the computational intensity.

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.