o3 Deep Research 1M input/output tokens price and performance

Complete Analysis: 2,000,000 tokens for o3 Deep Research

Complete analysis of pricing, performance, and use cases for OpenAI's o3 Deep Research model .

$50.000000 Total Cost
2,000,000 Total Tokens
7 hours, 25 minutes, 50.18 seconds Processing Time
75 Effective Tokens/Sec

Click Recalculate to update after making changes

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

Select AI Model

o3 Deep Research
OpenAIMax Context: 200,000 tokens
$10 / $40 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

$50.000000 Total Cost
$10.000000 Input Cost
$40.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.025000Cost per 1K
40,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

445m 50s Processing Time
80 Tokens/Second
450ms Time to First Token
75 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

o3 Deep Research OpenAI

$50.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.
👁️
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) $50.000000 Input: $10.000000
Output: $40.000000
Optimized Cost $50.000000 Input: $10.000000
Output: $40.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $10.000000
  • Output Cost: $40.000000
  • Total Cost: $50.000000
  • Cost per 1K tokens: $0.025000 (rounded ~ $0.03)
  • Tokens per dollar: 40,000 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 80 tokens per second and 450ms time to first token:

  • Processing Time: 7 hours, 25 minutes, 50.18 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 75 tokens/second (temperature-adjusted)

Best Use Cases

In-depth ResearchSystematic Analysis

Want this applied to YOUR actual stack?

This calculator shows the math for o3 Deep Research. 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 Deep Research
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Rank AI Model & Provider Total Cost vs o3 Deep Research
🏆 Llama 4 Scout
Meta AI
 $0.380000 Best Value ↓ 99.2% cheaper
🥈 Grok 4.20 Beta
xAI
 $8.000000 ↓ 84% cheaper
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↓ 65% cheaper
#4 Gemini 2.5 Pro
Google
 $17.500000 ↓ 65% cheaper
🏆

Llama 4 Scout
Meta AI

$0.380000
vs o3 Deep Research: ↓ 99.2%
🥈

Grok 4.20 Beta
xAI

$8.000000
vs o3 Deep Research: ↓ 84%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs o3 Deep Research: ↓ 65%
#4

Gemini 2.5 Pro
Google

$17.500000
vs o3 Deep Research: ↓ 65%
✨ 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.

Next-Generation o3 Deep Research Intelligence

o3 Deep Research is a frontier model from OpenAI optimized for the 2026 AI landscape.

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.