Deep Research Paper Drafting: o3 Deep Research for 50K-Token Projects

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
13 minutes, 48.93 seconds Processing Time
78 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

13m 48s Processing Time
80 Tokens/Second
450ms Time to First Token
78 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: 13 minutes, 48.93 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 78 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for autonomous research agents requiring high citation accuracy and deep multi-source synthesis.

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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 3.5 Flash-Lite
Google
 $0.049800 ↓ 95.1% cheaper
#6 Gemini 2.5 Flash
Google
 $0.049800 ↓ 95.1% cheaper
#7 Gemini 3.1 Flash
Google
 $0.065500 (rounded ~ $0.07) ↓ 93.5% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.070020 ↓ 93.1% cheaper
#9 Grok Build 0.1
xAI
 $0.071000 (rounded ~ $0.07) ↓ 93% cheaper
#10 Gemini 3.8 Flash
Google
 $0.087000 (rounded ~ $0.09) ↓ 91.4% cheaper
#11 Grok 4.3
xAI
 $0.088750 (rounded ~ $0.09) ↓ 91.2% cheaper
#12 Grok 4.20 Beta
xAI
 $0.088750 (rounded ~ $0.09) ↓ 91.2% cheaper
#13 GPT-5.4 mini
OpenAI
 $0.098250 (rounded ~ $0.10) ↓ 90.3% cheaper
#14 Kimi K2.6
Moonshot AI
 $0.099615 ↓ 90.1% cheaper
#15 Kimi K2.7 Code
Moonshot AI
 $0.099615 ↓ 90.1% cheaper
#16 o4-mini Deep Research
OpenAI
 $0.101000 (rounded ~ $0.10) ↓ 90% cheaper
#17 o4-mini
OpenAI
 $0.111100 (rounded ~ $0.11) ↓ 89% cheaper
#18 Claude Haiku 4.5
Anthropic
 $0.116000 (rounded ~ $0.12) ↓ 88.5% cheaper
#19 GPT-5.6 Luna
OpenAI
 $0.131000 (rounded ~ $0.13) ↓ 87% cheaper
#20 Grok 4.6
xAI
 $0.172000 (rounded ~ $0.17) ↓ 83% cheaper
#21 Grok 4.5
xAI
 $0.172000 (rounded ~ $0.17) ↓ 83% cheaper
#22 Gemini 3.6 Flash
Google
 $0.174000 (rounded ~ $0.17) ↓ 82.8% cheaper
#23 Gemini 3.5 Flash
Google
 $0.196500 (rounded ~ $0.20) ↓ 80.5% cheaper
#24 Gemini 2.5 Pro
Google
 $0.201250 (rounded ~ $0.20) ↓ 80.1% cheaper
#25 Claude Sonnet 5
Anthropic
 $0.232000 (rounded ~ $0.23) ↓ 77% cheaper
#26 Gemini 3.1 Pro
Google
 $0.262000 (rounded ~ $0.26) ↓ 74.1% cheaper
#27 GPT-5.3 Codex Spark
OpenAI
 $0.281750 (rounded ~ $0.28) ↓ 72.1% cheaper
#28 GPT-5.3 Instant
OpenAI
 $0.281750 (rounded ~ $0.28) ↓ 72.1% cheaper
#29 GPT-5.4
OpenAI
 $0.327500 (rounded ~ $0.33) ↓ 67.6% cheaper
#30 GPT-5.4 Thinking
OpenAI
 $0.327500 (rounded ~ $0.33) ↓ 67.6% cheaper
#31 GPT-5.6 Terra
OpenAI
 $0.327500 (rounded ~ $0.33) ↓ 67.6% cheaper
#32 Claude Sonnet 4.6
Anthropic
 $0.348000 (rounded ~ $0.35) ↓ 65.5% cheaper
#33 Claude Opus 4.7
Anthropic
 $0.580000 ↓ 42.6% cheaper
#34 Claude Opus 5
Anthropic
 $0.580000 ↓ 42.6% cheaper
#35 Claude Opus 4.8
Anthropic
 $0.580000 ↓ 42.6% cheaper
#36 Claude Opus 4.6
Anthropic
 $0.580000 ↓ 42.6% cheaper
#37 GPT-5.5
OpenAI
 $0.655000 (rounded ~ $0.66) ↓ 35.1% cheaper
#38 GPT-5.5 Instant
OpenAI
 $0.655000 (rounded ~ $0.66) ↓ 35.1% cheaper
#39 GPT-5.6 Sol
OpenAI
 $0.655000 (rounded ~ $0.66) ↓ 35.1% cheaper
#40 Claude Fable 5.1
Anthropic
 $1.152500 (rounded ~ $1.15) ↑ 14.1% more
#41 Claude Mythos 5.1
Anthropic
 $1.152500 (rounded ~ $1.15) ↑ 14.1% more
#42 Claude Fable 5
Anthropic
 $1.160000 ↑ 14.9% more
#43 Claude Mythos 5
Anthropic
 $1.160000 ↑ 14.9% more
#44 GPT-6 Astra
OpenAI
 $1.160000 ↑ 14.9% more
#45 o3 Pro
OpenAI
 $2.020000 ↑ 100% more
#46 GPT-5.2 Pro
OpenAI
 $3.381000 (rounded ~ $3.38) ↑ 234.8% more
#47 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 3.5 Flash-Lite
Google

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

Gemini 2.5 Flash
Google

$0.049800
vs o3 Deep Research: ↓ 95.1%
#7

Gemini 3.1 Flash
Google

$0.065500 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 93.5%
#8

Kimi K2.5
Moonshot AI

$0.070020
vs o3 Deep Research: ↓ 93.1%
#9

Grok Build 0.1
xAI

$0.071000 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 93%
#10

Gemini 3.8 Flash
Google

$0.087000 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 91.4%
#11

Grok 4.3
xAI

$0.088750 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 91.2%
#12

Grok 4.20 Beta
xAI

$0.088750 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 91.2%
#13

GPT-5.4 mini
OpenAI

$0.098250 (rounded ~ $0.10)
vs o3 Deep Research: ↓ 90.3%
#14

Kimi K2.6
Moonshot AI

$0.099615
vs o3 Deep Research: ↓ 90.1%
#15

Kimi K2.7 Code
Moonshot AI

$0.099615
vs o3 Deep Research: ↓ 90.1%
#16

o4-mini Deep Research
OpenAI

$0.101000 (rounded ~ $0.10)
vs o3 Deep Research: ↓ 90%
#17

o4-mini
OpenAI

$0.111100 (rounded ~ $0.11)
vs o3 Deep Research: ↓ 89%
#18

Claude Haiku 4.5
Anthropic

$0.116000 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 88.5%
#19

GPT-5.6 Luna
OpenAI

$0.131000 (rounded ~ $0.13)
vs o3 Deep Research: ↓ 87%
#20

Grok 4.6
xAI

$0.172000 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 83%
#21

Grok 4.5
xAI

$0.172000 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 83%
#22

Gemini 3.6 Flash
Google

$0.174000 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 82.8%
#23

Gemini 3.5 Flash
Google

$0.196500 (rounded ~ $0.20)
vs o3 Deep Research: ↓ 80.5%
#24

Gemini 2.5 Pro
Google

$0.201250 (rounded ~ $0.20)
vs o3 Deep Research: ↓ 80.1%
#25

Claude Sonnet 5
Anthropic

$0.232000 (rounded ~ $0.23)
vs o3 Deep Research: ↓ 77%
#26

Gemini 3.1 Pro
Google

$0.262000 (rounded ~ $0.26)
vs o3 Deep Research: ↓ 74.1%
#27

GPT-5.3 Codex Spark
OpenAI

$0.281750 (rounded ~ $0.28)
vs o3 Deep Research: ↓ 72.1%
#28

GPT-5.3 Instant
OpenAI

$0.281750 (rounded ~ $0.28)
vs o3 Deep Research: ↓ 72.1%
#29

GPT-5.4
OpenAI

$0.327500 (rounded ~ $0.33)
vs o3 Deep Research: ↓ 67.6%
#30

GPT-5.4 Thinking
OpenAI

$0.327500 (rounded ~ $0.33)
vs o3 Deep Research: ↓ 67.6%
#31

GPT-5.6 Terra
OpenAI

$0.327500 (rounded ~ $0.33)
vs o3 Deep Research: ↓ 67.6%
#32

Claude Sonnet 4.6
Anthropic

$0.348000 (rounded ~ $0.35)
vs o3 Deep Research: ↓ 65.5%
#33

Claude Opus 4.7
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#34

Claude Opus 5
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#35

Claude Opus 4.8
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#36

Claude Opus 4.6
Anthropic

$0.580000
vs o3 Deep Research: ↓ 42.6%
#37

GPT-5.5
OpenAI

$0.655000 (rounded ~ $0.66)
vs o3 Deep Research: ↓ 35.1%
#38

GPT-5.5 Instant
OpenAI

$0.655000 (rounded ~ $0.66)
vs o3 Deep Research: ↓ 35.1%
#39

GPT-5.6 Sol
OpenAI

$0.655000 (rounded ~ $0.66)
vs o3 Deep Research: ↓ 35.1%
#40

Claude Fable 5.1
Anthropic

$1.152500 (rounded ~ $1.15)
vs o3 Deep Research: ↑ 14.1%
#41

Claude Mythos 5.1
Anthropic

$1.152500 (rounded ~ $1.15)
vs o3 Deep Research: ↑ 14.1%
#42

Claude Fable 5
Anthropic

$1.160000
vs o3 Deep Research: ↑ 14.9%
#43

Claude Mythos 5
Anthropic

$1.160000
vs o3 Deep Research: ↑ 14.9%
#44

GPT-6 Astra
OpenAI

$1.160000
vs o3 Deep Research: ↑ 14.9%
#45

o3 Pro
OpenAI

$2.020000
vs o3 Deep Research: ↑ 100%
#46

GPT-5.2 Pro
OpenAI

$3.381000 (rounded ~ $3.38)
vs o3 Deep Research: ↑ 234.8%
#47

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.

Automating Citation-Heavy Research Pipelines

For research-focused organizations managing high-volume document pipelines, the integration of deep research capabilities is no longer optional. As literature review workloads grow into the 5M+ token-per-month range, the core challenge shifts from generation speed to citation accuracy and verifiable synthesis.

o3 Deep Research is specifically engineered to address the “citation fabrication” risk inherent in general-purpose models. Unlike standard LLMs that predict the next token based on probable prose, this model is built to retrieve, verify, and ground each claim in real-world academic sources. For recruiters and product teams building AI-assisted research tools, this model offers a distinct advantage: it treats the drafting process as an iterative search and synthesis task rather than a simple text completion exercise.

In practice, this means your research agents can handle 50K-token input blocks with significantly higher confidence. It acts as an autonomous research assistant that not only writes the literature review but also manages the underlying reference library. This architecture reduces the manual verification burden on your researchers, allowing them to focus on high-level conceptual framing rather than auditing generated citations for accuracy.

For SaaS features that require deep, multi-source analysis, o3 Deep Research provides a robust framework that aligns the output with established academic rigor. It is the most reliable choice for workflows where citation precision is the primary measure of quality, especially when scaling complex research assistants for enterprise users.

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

o3 Deep Research currently costs $10.00 / $40.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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