Research Paper Drafting: o3 Deep Research vs Claude Opus 4.7 for 65K-Token Projects

o3 Deep Research vs Claude Opus 4.7
Complete Comparison: 50,000 input tokens × 15,000 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 Deep Research
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 50,000 50,000
Output Tokens 15,000 15,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Worst $0.062500 (rounded ~ $0.06)Best
Output Cost $0.150000Worst $0.093750 (rounded ~ $0.09)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.218750 (rounded ~ $0.22) Most Expensive $0.128125 (rounded ~ $0.13) Best Value
Processing Time 14 minutes, 29.56 seconds Slowest 4 minutes, 27.68 seconds Fastest
Tokens per Second 80Slowest 260Fastest
Time to First Token 450ms Worst 400ms Best
Cost per 1K tokens $0.003365Worst $0.001971Best
Tokens per Dollar 297,143Worst Value 507,317Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Worst $1.250000Best
Output Cost / 1M (Base) $10.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $5.000000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

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

$0.218750 Total Cost
$0.062500 Input Cost
$0.150000 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
$0.003365Cost per 1K
297,143Tokens 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

o3 Deep Research OpenAI

$0.218750 (rounded ~ $0.22)
Total Cost
⚡ 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) $0.275000 (rounded ~ $0.28) Input: $0.125000 (rounded ~ $0.13)
Output: $0.150000
Optimized Cost $0.218750 (rounded ~ $0.22) Input: $0.125000 (rounded ~ $0.13)
Output: $0.150000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 20.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.150000
  • Total Cost: $0.218750 (rounded ~ $0.22)
  • Cost per 1K tokens: $0.003365
  • Tokens per dollar: 297,143 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

Use o3 Deep Research for verifiablefact-heavy literature reviews and Claude Opus 4.7 for high-qualitynuanced academic drafting.

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.

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Claude Opus 4.7 Anthropic 1000000

$0.128125 (rounded ~ $0.13)
Total Cost
⚡ 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) $0.156250 (rounded ~ $0.16) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)
Optimized Cost $0.128125 (rounded ~ $0.13) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.028125 (rounded ~ $0.03) 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.062500 (rounded ~ $0.06)
  • Output Cost: $0.093750 (rounded ~ $0.09)
  • Total Cost: $0.128125 (rounded ~ $0.13)
  • Cost per 1K tokens: $0.001971
  • Tokens per dollar: 507,317 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 4 minutes, 27.68 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Use o3 Deep Research for verifiablefact-heavy literature reviews and Claude Opus 4.7 for high-qualitynuanced academic drafting.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. 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: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Deep Research vs Claude Opus 4.7
🏆 Mistral Small 3
Mistral AI
 $0.001813 Best Value ↓ 99.2% cheaper ↓ 98.6% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.007344 (rounded ~ $0.01) ↓ 96.6% cheaper ↓ 94.3% cheaper
🥉 Mistral Large 3
Mistral AI
 $0.009063 ↓ 95.9% cheaper ↓ 92.9% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.011438 (rounded ~ $0.01) ↓ 94.8% cheaper ↓ 91.1% cheaper
#5 Gemini 2.5 Flash
Google
 $0.011438 (rounded ~ $0.01) ↓ 94.8% cheaper ↓ 91.1% cheaper
#6 o4-mini Deep Research
OpenAI
 $0.021875 (rounded ~ $0.02) ↓ 90% cheaper ↓ 82.9% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.022031 (rounded ~ $0.02) ↓ 89.9% cheaper ↓ 82.8% cheaper
#8 o4-mini
OpenAI
 $0.024063 (rounded ~ $0.02) ↓ 89% cheaper ↓ 81.2% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.025625 (rounded ~ $0.03) ↓ 88.3% cheaper ↓ 80% cheaper
#10 Gemini 3.1 Flash
Google
 $0.029375 ↓ 86.6% cheaper ↓ 77.1% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.029375 ↓ 86.6% cheaper ↓ 77.1% cheaper
#12 Gemini 3.6 Flash
Google
 $0.038438 (rounded ~ $0.04) ↓ 82.4% cheaper ↓ 70% cheaper
#13 Gemini 3.5 Flash
Google
 $0.044063 (rounded ~ $0.04) ↓ 79.9% cheaper ↓ 65.6% cheaper
#14 Claude Sonnet 5
Anthropic
 $0.051250 (rounded ~ $0.05) ↓ 76.6% cheaper ↓ 60% cheaper
#15 Grok 4.3
xAI
 $0.057500 (rounded ~ $0.06) ↓ 73.7% cheaper ↓ 55.1% cheaper
#16 Grok 4.20 Beta
xAI
 $0.057500 (rounded ~ $0.06) ↓ 73.7% cheaper ↓ 55.1% cheaper
#17 GPT-5.3 Codex Spark
OpenAI
 $0.064531 (rounded ~ $0.06) ↓ 70.5% cheaper ↓ 49.6% cheaper
#18 GPT-5.3 Instant
OpenAI
 $0.064531 (rounded ~ $0.06) ↓ 70.5% cheaper ↓ 49.6% cheaper
#19 GPT-5.6 Terra
OpenAI
 $0.073438 (rounded ~ $0.07) ↓ 66.4% cheaper ↓ 42.7% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $0.076875 (rounded ~ $0.08) ↓ 64.9% cheaper ↓ 40% cheaper
#21 Gemini 2.5 Pro
Google
 $0.092188 (rounded ~ $0.09) ↓ 57.9% cheaper ↓ 28% cheaper
#22 Gemini 3.1 Pro
Google
 $0.117500 (rounded ~ $0.12) ↓ 46.3% cheaper ↓ 8.3% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.128125 (rounded ~ $0.13) ↓ 41.4% cheaper Same price
#24 Claude Opus 5
Anthropic
 $0.128125 (rounded ~ $0.13) ↓ 41.4% cheaper Same price
#25 Claude Opus 4.8
Anthropic
 $0.128125 (rounded ~ $0.13) ↓ 41.4% cheaper Same price
#26 Claude Opus 4.6
Anthropic
 $0.128125 (rounded ~ $0.13) ↓ 41.4% cheaper Same price
#27 GPT-5.4
OpenAI
 $0.146875 (rounded ~ $0.15) ↓ 32.9% cheaper ↑ 14.6% more
#28 GPT-5.4 Thinking
OpenAI
 $0.146875 (rounded ~ $0.15) ↓ 32.9% cheaper ↑ 14.6% more
#29 GPT-5.5 Instant
OpenAI
 $0.146875 (rounded ~ $0.15) ↓ 32.9% cheaper ↑ 14.6% more
#30 GPT-5.6 Sol
OpenAI
 $0.146875 (rounded ~ $0.15) ↓ 32.9% cheaper ↑ 14.6% more
#31 Claude Fable 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 17.1% more ↑ 100% more
#32 Claude Mythos 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 17.1% more ↑ 100% more
#33 GPT-5.5
OpenAI
 $0.293750 (rounded ~ $0.29) ↑ 34.3% more ↑ 129.3% more
#34 o3 Pro
OpenAI
 $0.437500 (rounded ~ $0.44) ↑ 100% more ↑ 241.5% more
#35 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 254% more ↑ 504.4% more
#36 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 254% more ↑ 504.4% more
🏆

Mistral Small 3
Mistral AI

$0.001813
vs o3 Deep Research: ↓ 99.2%
vs Claude Opus 4.7: ↓ 98.6%
🥈

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 96.6%
vs Claude Opus 4.7: ↓ 94.3%
🥉

Mistral Large 3
Mistral AI

$0.009063
vs o3 Deep Research: ↓ 95.9%
vs Claude Opus 4.7: ↓ 92.9%
#4

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 94.8%
vs Claude Opus 4.7: ↓ 91.1%
#5

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 94.8%
vs Claude Opus 4.7: ↓ 91.1%
#6

o4-mini Deep Research
OpenAI

$0.021875 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 90%
vs Claude Opus 4.7: ↓ 82.9%
#7

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 89.9%
vs Claude Opus 4.7: ↓ 82.8%
#8

o4-mini
OpenAI

$0.024063 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 89%
vs Claude Opus 4.7: ↓ 81.2%
#9

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 88.3%
vs Claude Opus 4.7: ↓ 80%
#10

Gemini 3.1 Flash
Google

$0.029375
vs o3 Deep Research: ↓ 86.6%
vs Claude Opus 4.7: ↓ 77.1%
#11

GPT-5.6 Luna
OpenAI

$0.029375
vs o3 Deep Research: ↓ 86.6%
vs Claude Opus 4.7: ↓ 77.1%
#12

Gemini 3.6 Flash
Google

$0.038438 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 82.4%
vs Claude Opus 4.7: ↓ 70%
#13

Gemini 3.5 Flash
Google

$0.044063 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 79.9%
vs Claude Opus 4.7: ↓ 65.6%
#14

Claude Sonnet 5
Anthropic

$0.051250 (rounded ~ $0.05)
vs o3 Deep Research: ↓ 76.6%
vs Claude Opus 4.7: ↓ 60%
#15

Grok 4.3
xAI

$0.057500 (rounded ~ $0.06)
vs o3 Deep Research: ↓ 73.7%
vs Claude Opus 4.7: ↓ 55.1%
#16

Grok 4.20 Beta
xAI

$0.057500 (rounded ~ $0.06)
vs o3 Deep Research: ↓ 73.7%
vs Claude Opus 4.7: ↓ 55.1%
#17

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)
vs o3 Deep Research: ↓ 70.5%
vs Claude Opus 4.7: ↓ 49.6%
#18

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)
vs o3 Deep Research: ↓ 70.5%
vs Claude Opus 4.7: ↓ 49.6%
#19

GPT-5.6 Terra
OpenAI

$0.073438 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 66.4%
vs Claude Opus 4.7: ↓ 42.7%
#20

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)
vs o3 Deep Research: ↓ 64.9%
vs Claude Opus 4.7: ↓ 40%
#21

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 57.9%
vs Claude Opus 4.7: ↓ 28%
#22

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)
vs o3 Deep Research: ↓ 46.3%
vs Claude Opus 4.7: ↓ 8.3%
#23

Claude Opus 4.7
Anthropic

$0.128125 (rounded ~ $0.13)
vs o3 Deep Research: ↓ 41.4%
vs Claude Opus 4.7: Same
#24

Claude Opus 5
Anthropic

$0.128125 (rounded ~ $0.13)
vs o3 Deep Research: ↓ 41.4%
vs Claude Opus 4.7: Same
#25

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)
vs o3 Deep Research: ↓ 41.4%
vs Claude Opus 4.7: Same
#26

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)
vs o3 Deep Research: ↓ 41.4%
vs Claude Opus 4.7: Same
#27

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)
vs o3 Deep Research: ↓ 32.9%
vs Claude Opus 4.7: ↑ 14.6%
#28

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)
vs o3 Deep Research: ↓ 32.9%
vs Claude Opus 4.7: ↑ 14.6%
#29

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)
vs o3 Deep Research: ↓ 32.9%
vs Claude Opus 4.7: ↑ 14.6%
#30

GPT-5.6 Sol
OpenAI

$0.146875 (rounded ~ $0.15)
vs o3 Deep Research: ↓ 32.9%
vs Claude Opus 4.7: ↑ 14.6%
#31

Claude Fable 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs o3 Deep Research: ↑ 17.1%
vs Claude Opus 4.7: ↑ 100%
#32

Claude Mythos 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs o3 Deep Research: ↑ 17.1%
vs Claude Opus 4.7: ↑ 100%
#33

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)
vs o3 Deep Research: ↑ 34.3%
vs Claude Opus 4.7: ↑ 129.3%
#34

o3 Pro
OpenAI

$0.437500 (rounded ~ $0.44)
vs o3 Deep Research: ↑ 100%
vs Claude Opus 4.7: ↑ 241.5%
#35

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs o3 Deep Research: ↑ 254%
vs Claude Opus 4.7: ↑ 504.4%
#36

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs o3 Deep Research: ↑ 254%
vs Claude Opus 4.7: ↑ 504.4%
✨ 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.

For complex academic writing, the balance between analytical depth and prose quality is essential. o3 Deep Research is particularly powerful when your literature review requires iterative, multi-step verification to ensure citations are grounded and accurate, minimizing the hallucination risks often found in standard generation. It excels at breaking down intricate research topics into structured, logical arguments. In contrast, Claude Opus 4.7 is often the preferred choice for the actual drafting phase. Its strength lies in its ability to handle nuanced stylistic instructions, maintaining a coherent tone and structure across long documents. While o3 handles the heavy lifting of fact-finding, Claude excels at the ‘human’ side of writing—smoothing out complex explanations and ensuring the flow of your arguments is engaging and readable. Choosing between them often comes down to your primary pain point: if you struggle with gathering and verifying complex information, o3 is the strategic partner. If your research is already structured but you need help synthesizing it into a high-quality, professional-grade narrative, Claude Opus 4.7 provides a superior level of control and linguistic precision. Both models are capable of processing large inputs, but their workflows differ significantly in how they handle tool-use and reasoning depth. Use o3 to ensure your foundation is rock-solid, then pivot to Claude to refine the narrative arc and final delivery.

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.