AI Research Paper Drafting: 50K-Token Workflow with o3 Deep Research

Complete Analysis: 65,000 tokens for o3 Deep Research
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's o3 Deep Research model with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
$1.010000 Total Cost
65,000 Total Tokens
14 minutes, 29.56 seconds Processing Time
75 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

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

$1.010000 Total Cost
$0.400000 Input Cost
$0.600000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.015538Cost per 1K
64,356Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

14m 29s 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

$1.010000
Total Cost
⚡ 20% Cached 🔧 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) $1.100000 Input: $0.500000
Output: $0.600000
Optimized Cost $1.010000 Input: $0.500000
Output: $0.600000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.090000 8.2% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.600000
  • Total Cost: $1.010000
  • Cost per 1K tokens: $0.015538 (rounded ~ $0.02)
  • Tokens per dollar: 64,356 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: 14 minutes, 29.56 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 75 tokens/second (temperature-adjusted)

Best Use Cases

Automating literature reviews and synthesizing multi-source academic reports with high citation accuracy.

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.

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✨ Market Recommendations AI Model Registry

← Back to o3 Deep Research
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Deep Research
🏆 Mistral Small 3
Mistral AI
 $0.008600 (rounded ~ $0.01) Best Value ↓ 99.1% cheaper
🥈 Grok Code Fast 1
xAI
 $0.030700 ↓ 97% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.032750 (rounded ~ $0.03) ↓ 96.8% cheaper
#4 Mistral Large 3
Mistral AI
 $0.043000 (rounded ~ $0.04) ↓ 95.7% cheaper
#5 Gemini 2.5 Flash
Google
 $0.049800 ↓ 95.1% cheaper
#6 Gemini 3.1 Flash
Google
 $0.065500 (rounded ~ $0.07) ↓ 93.5% cheaper
#7 Kimi K2.5
Moonshot AI
 $0.070020 ↓ 93.1% cheaper
#8 Grok 4.3
xAI
 $0.088750 (rounded ~ $0.09) ↓ 91.2% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.098250 (rounded ~ $0.10) ↓ 90.3% cheaper
#10 Kimi K2.6
Moonshot AI
 $0.099615 ↓ 90.1% cheaper
#11 o4-mini Deep Research
OpenAI
 $0.101000 (rounded ~ $0.10) ↓ 90% cheaper
#12 o4-mini
OpenAI
 $0.111100 (rounded ~ $0.11) ↓ 89% cheaper
#13 Claude Haiku 4.5
Anthropic
 $0.116000 (rounded ~ $0.12) ↓ 88.5% cheaper
#14 Grok 4.20 Beta
xAI
 $0.172000 (rounded ~ $0.17) ↓ 83% cheaper
#15 Gemini 3.5 Flash
Google
 $0.196500 (rounded ~ $0.20) ↓ 80.5% cheaper
#16 Gemini 2.5 Pro
Google
 $0.201250 (rounded ~ $0.20) ↓ 80.1% cheaper
#17 Gemini 3.1 Pro
Google
 $0.262000 (rounded ~ $0.26) ↓ 74.1% cheaper
#18 GPT-5.3 Codex Spark
OpenAI
 $0.281750 (rounded ~ $0.28) ↓ 72.1% cheaper
#19 GPT-5.3 Instant
OpenAI
 $0.281750 (rounded ~ $0.28) ↓ 72.1% cheaper
#20 GPT-5.4
OpenAI
 $0.327500 (rounded ~ $0.33) ↓ 67.6% cheaper
#21 GPT-5.4 Thinking
OpenAI
 $0.327500 (rounded ~ $0.33) ↓ 67.6% cheaper
#22 Claude Sonnet 4.6
Anthropic
 $0.348000 (rounded ~ $0.35) ↓ 65.5% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.580000 ↓ 42.6% cheaper
#24 Claude Opus 4.8
Anthropic
 $0.580000 ↓ 42.6% cheaper
#25 Claude Opus 4.6
Anthropic
 $0.580000 ↓ 42.6% cheaper
#26 GPT-5.5
OpenAI
 $0.655000 (rounded ~ $0.66) ↓ 35.1% cheaper
#27 GPT-5.5 Instant
OpenAI
 $0.655000 (rounded ~ $0.66) ↓ 35.1% cheaper
#28 o3 Pro
OpenAI
 $2.020000 ↑ 100% more
#29 GPT-5.2 Pro
OpenAI
 $3.381000 (rounded ~ $3.38) ↑ 234.8% more
#30 GPT-5.2 Pro
OpenAI
 $3.381000 (rounded ~ $3.38) ↑ 234.8% more
🏆

Mistral Small 3
Mistral AI

$0.008600 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 99.1%
🥈

Grok Code Fast 1
xAI

$0.030700
vs o3 Deep Research: ↓ 97%
🥉

Gemini 3.1 Flash Lite
Google

$0.032750 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 96.8%
#4

Mistral Large 3
Mistral AI

$0.043000 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 95.7%
#5

Gemini 2.5 Flash
Google

$0.049800
vs o3 Deep Research: ↓ 95.1%
#6

Gemini 3.1 Flash
Google

$0.065500 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 93.5%
#7

Kimi K2.5
Moonshot AI

$0.070020
vs o3 Deep Research: ↓ 93.1%
#8

Grok 4.3
xAI

$0.088750 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 91.2%
#9

GPT-5.4 mini
OpenAI

$0.098250 (rounded ~ $0.10)
vs o3 Deep Research: ↓ 90.3%
#10

Kimi K2.6
Moonshot AI

$0.099615
vs o3 Deep Research: ↓ 90.1%
#11

o4-mini Deep Research
OpenAI

$0.101000 (rounded ~ $0.10)
vs o3 Deep Research: ↓ 90%
#12

o4-mini
OpenAI

$0.111100 (rounded ~ $0.11)
vs o3 Deep Research: ↓ 89%
#13

Claude Haiku 4.5
Anthropic

$0.116000 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 88.5%
#14

Grok 4.20 Beta
xAI

$0.172000 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 83%
#15

Gemini 3.5 Flash
Google

$0.196500 (rounded ~ $0.20)
vs o3 Deep Research: ↓ 80.5%
#16

Gemini 2.5 Pro
Google

$0.201250 (rounded ~ $0.20)
vs o3 Deep Research: ↓ 80.1%
#17

Gemini 3.1 Pro
Google

$0.262000 (rounded ~ $0.26)
vs o3 Deep Research: ↓ 74.1%
#18

GPT-5.3 Codex Spark
OpenAI

$0.281750 (rounded ~ $0.28)
vs o3 Deep Research: ↓ 72.1%
#19

GPT-5.3 Instant
OpenAI

$0.281750 (rounded ~ $0.28)
vs o3 Deep Research: ↓ 72.1%
#20

GPT-5.4
OpenAI

$0.327500 (rounded ~ $0.33)
vs o3 Deep Research: ↓ 67.6%
#21

GPT-5.4 Thinking
OpenAI

$0.327500 (rounded ~ $0.33)
vs o3 Deep Research: ↓ 67.6%
#22

Claude Sonnet 4.6
Anthropic

$0.348000 (rounded ~ $0.35)
vs o3 Deep Research: ↓ 65.5%
#23

Claude Opus 4.7
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#24

Claude Opus 4.8
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#25

Claude Opus 4.6
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#26

GPT-5.5
OpenAI

$0.655000 (rounded ~ $0.66)
vs o3 Deep Research: ↓ 35.1%
#27

GPT-5.5 Instant
OpenAI

$0.655000 (rounded ~ $0.66)
vs o3 Deep Research: ↓ 35.1%
#28

o3 Pro
OpenAI

$2.020000
vs o3 Deep Research: ↑ 100%
#29

GPT-5.2 Pro
OpenAI

$3.381000 (rounded ~ $3.38)
vs o3 Deep Research: ↑ 234.8%
#30

GPT-5.2 Pro
OpenAI

$3.381000 (rounded ~ $3.38)
vs o3 Deep Research: ↑ 234.8%
✨ 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.

Optimizing Academic Drafting with Agentic Research

For independent researchers and academics, the literature review process is often the most time-consuming stage of paper drafting. When you need to synthesize 50,000 tokens of existing research—spanning multiple PDFs, study reports, and raw data—the challenge lies not just in summarization, but in maintaining factual integrity throughout the draft.

o3 Deep Research is purpose-built for this agentic workflow. Unlike standard language models that rely solely on training data, this model is designed to actively browse and ingest external sources, creating a rigorous chain-of-thought that mirrors the iterative process of a human researcher. It excels at multi-step investigations where you must parse conflicting findings across different scholarly articles.

When to choose o3 Deep Research:

  • High-Stakes Synthesis: Use this model when your literature review requires precision. It autonomously plans research strategies, finds missing links between papers, and ensures that every claim made in your draft is backed by a traceable citation.
  • Deep Technical Analysis: When your research includes dense data tables, chart analysis, or Python-based quantitative validation, the model’s ability to execute code and perform multimodal inspection makes it a robust partner.

By shifting from passive prompting to an agentic approach, you can move from a pile of scattered 50K-token inputs to a structured, synthesized first draft without the hallucinations often found in smaller or general-purpose models.

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.