200,000-Token Literature Review: o3 Deep Research vs Claude Opus 4.7

o3 Deep Research vs Claude Opus 4.7
Complete Comparison: 200,000 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 Deep Research
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 200,000 200,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $0.500000Worst $0.250000Best
Output Cost $0.050000Worst $0.031250 (rounded ~ $0.03)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.325000 (rounded ~ $0.33) Most Expensive $0.168750 (rounded ~ $0.17) Best Value
Processing Time 43 minutes, 59.55 seconds Slowest 13 minutes, 32.30 seconds Fastest
Tokens per Second 80Slowest 260Fastest
Time to First Token 450ms Worst 400ms Best
Cost per 1K tokens $0.001585Worst $0.000823Best
Tokens per Dollar 630,769Worst Value 1,214,815Best 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
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

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)
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

$0.325000 Total Cost
$0.250000 Input Cost
$0.050000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
205,000Total Tokens
$0.001585Cost per 1K
630,769Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

43m 59s 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
📊 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

$0.325000 (rounded ~ $0.33)
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) $0.550000 Input: $0.500000
Output: $0.050000
Optimized Cost $0.325000 (rounded ~ $0.33) Input: $0.500000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 40.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.050000
  • Total Cost: $0.325000 (rounded ~ $0.33)
  • Cost per 1K tokens: $0.001585
  • Tokens per dollar: 630,769 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: 43 minutes, 59.55 seconds
  • Latency: 450 milliseconds to first token
  • Base Throughput: 80 tokens/second
  • Effective Throughput: 78 tokens/second (temperature-adjusted)

Best Use Cases

Use o3 Deep Research for autonomouscomplex information gathering; use Claude Opus 4.7 for synthesizing findings into polishedhigh-nuance documents.

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 →

Claude Opus 4.7 Anthropic 1000000

$0.168750 (rounded ~ $0.17)
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) $0.281250 (rounded ~ $0.28) Input: $0.250000
Output: $0.031250 (rounded ~ $0.03)
Optimized Cost $0.168750 (rounded ~ $0.17) Input: $0.250000
Output: $0.031250 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.112500 (rounded ~ $0.11) 40.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.031250 (rounded ~ $0.03)
  • Total Cost: $0.168750 (rounded ~ $0.17)
  • Cost per 1K tokens: $0.000823
  • Tokens per dollar: 1,214,815 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: 13 minutes, 32.30 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 252 tokens/second (temperature-adjusted)

Best Use Cases

Use o3 Deep Research for autonomouscomplex information gathering; use Claude Opus 4.7 for synthesizing findings into polishedhigh-nuance documents.

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: 200,000
Output Tokens: 5,000
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
🏆 Gemini 3.1 Flash Lite
Google
 $0.008750 (rounded ~ $0.01) Best Value ↓ 97.3% cheaper ↓ 94.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.011375 (rounded ~ $0.01) ↓ 96.5% cheaper ↓ 93.3% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.011375 (rounded ~ $0.01) ↓ 96.5% cheaper ↓ 93.3% cheaper
#4 Mistral Large 3
Mistral AI
 $0.015625 (rounded ~ $0.02) ↓ 95.2% cheaper ↓ 90.7% cheaper
#5 Gemini 3.8 Flash
Google
 $0.025313 (rounded ~ $0.03) ↓ 92.2% cheaper ↓ 85% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.026250 (rounded ~ $0.03) ↓ 91.9% cheaper ↓ 84.4% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.033750 (rounded ~ $0.03) ↓ 89.6% cheaper ↓ 80% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.035000 (rounded ~ $0.04) ↓ 89.2% cheaper ↓ 79.3% cheaper
#9 Gemini 3.6 Flash
Google
 $0.050625 ↓ 84.4% cheaper ↓ 70% cheaper
#10 Gemini 3.5 Flash
Google
 $0.052500 (rounded ~ $0.05) ↓ 83.8% cheaper ↓ 68.9% cheaper
#11 Claude Sonnet 5
Anthropic
 $0.067500 (rounded ~ $0.07) ↓ 79.2% cheaper ↓ 60% cheaper
#12 Gemini 3.1 Flash
Google
 $0.070000 ↓ 78.5% cheaper ↓ 58.5% cheaper
#13 GPT-5.6 Terra
OpenAI
 $0.087500 (rounded ~ $0.09) ↓ 73.1% cheaper ↓ 48.1% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $0.101250 (rounded ~ $0.10) ↓ 68.8% cheaper ↓ 40% cheaper
#15 Claude Opus 4.7
Anthropic
 $0.168750 (rounded ~ $0.17) ↓ 48.1% cheaper Same price
#16 Claude Opus 5
Anthropic
 $0.168750 (rounded ~ $0.17) ↓ 48.1% cheaper Same price
#17 Claude Opus 4.8
Anthropic
 $0.168750 (rounded ~ $0.17) ↓ 48.1% cheaper Same price
#18 Claude Opus 4.6
Anthropic
 $0.168750 (rounded ~ $0.17) ↓ 48.1% cheaper Same price
#19 GPT-5.4
OpenAI
 $0.175000 (rounded ~ $0.18) ↓ 46.2% cheaper ↑ 3.7% more
#20 GPT-5.4 Thinking
OpenAI
 $0.175000 (rounded ~ $0.18) ↓ 46.2% cheaper ↑ 3.7% more
#21 Gemini 2.5 Pro
Google
 $0.175000 (rounded ~ $0.18) ↓ 46.2% cheaper ↑ 3.7% more
#22 GPT-5.5 Instant
OpenAI
 $0.175000 (rounded ~ $0.18) ↓ 46.2% cheaper ↑ 3.7% more
#23 GPT-5.6 Sol
OpenAI
 $0.175000 (rounded ~ $0.18) ↓ 46.2% cheaper ↑ 3.7% more
#24 Grok 4.3
xAI
 $0.240000 ↓ 26.2% cheaper ↑ 42.2% more
#25 Grok 4.20 Beta
xAI
 $0.240000 ↓ 26.2% cheaper ↑ 42.2% more
#26 Gemini 3.1 Pro
Google
 $0.265000 (rounded ~ $0.27) ↓ 18.5% cheaper ↑ 57% more
#27 Claude Fable 5.1
Anthropic
 $0.318750 (rounded ~ $0.32) ↓ 1.9% cheaper ↑ 88.9% more
#28 Claude Mythos 5.1
Anthropic
 $0.318750 (rounded ~ $0.32) ↓ 1.9% cheaper ↑ 88.9% more
#29 Claude Fable 5
Anthropic
 $0.337500 (rounded ~ $0.34) ↑ 3.8% more ↑ 100% more
#30 Claude Mythos 5
Anthropic
 $0.337500 (rounded ~ $0.34) ↑ 3.8% more ↑ 100% more
#31 GPT-5.5
OpenAI
 $0.662500 (rounded ~ $0.66) ↑ 103.8% more ↑ 292.6% more
#32 GPT-6 Astra
OpenAI
 $1.350000 ↑ 315.4% more ↑ 700% more
#33 GPT-6 Astra
OpenAI
 $1.350000 ↑ 315.4% more ↑ 700% more
🏆

Gemini 3.1 Flash Lite
Google

$0.008750 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 97.3%
vs Claude Opus 4.7: ↓ 94.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.011375 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 96.5%
vs Claude Opus 4.7: ↓ 93.3%
🥉

Gemini 2.5 Flash
Google

$0.011375 (rounded ~ $0.01)
vs o3 Deep Research: ↓ 96.5%
vs Claude Opus 4.7: ↓ 93.3%
#4

Mistral Large 3
Mistral AI

$0.015625 (rounded ~ $0.02)
vs o3 Deep Research: ↓ 95.2%
vs Claude Opus 4.7: ↓ 90.7%
#5

Gemini 3.8 Flash
Google

$0.025313 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 92.2%
vs Claude Opus 4.7: ↓ 85%
#6

GPT-5.4 mini
OpenAI

$0.026250 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 91.9%
vs Claude Opus 4.7: ↓ 84.4%
#7

Claude Haiku 4.5
Anthropic

$0.033750 (rounded ~ $0.03)
vs o3 Deep Research: ↓ 89.6%
vs Claude Opus 4.7: ↓ 80%
#8

GPT-5.6 Luna
OpenAI

$0.035000 (rounded ~ $0.04)
vs o3 Deep Research: ↓ 89.2%
vs Claude Opus 4.7: ↓ 79.3%
#9

Gemini 3.6 Flash
Google

$0.050625
vs o3 Deep Research: ↓ 84.4%
vs Claude Opus 4.7: ↓ 70%
#10

Gemini 3.5 Flash
Google

$0.052500 (rounded ~ $0.05)
vs o3 Deep Research: ↓ 83.8%
vs Claude Opus 4.7: ↓ 68.9%
#11

Claude Sonnet 5
Anthropic

$0.067500 (rounded ~ $0.07)
vs o3 Deep Research: ↓ 79.2%
vs Claude Opus 4.7: ↓ 60%
#12

Gemini 3.1 Flash
Google

$0.070000
vs o3 Deep Research: ↓ 78.5%
vs Claude Opus 4.7: ↓ 58.5%
#13

GPT-5.6 Terra
OpenAI

$0.087500 (rounded ~ $0.09)
vs o3 Deep Research: ↓ 73.1%
vs Claude Opus 4.7: ↓ 48.1%
#14

Claude Sonnet 4.6
Anthropic

$0.101250 (rounded ~ $0.10)
vs o3 Deep Research: ↓ 68.8%
vs Claude Opus 4.7: ↓ 40%
#15

Claude Opus 4.7
Anthropic

$0.168750 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 48.1%
vs Claude Opus 4.7: Same
#16

Claude Opus 5
Anthropic

$0.168750 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 48.1%
vs Claude Opus 4.7: Same
#17

Claude Opus 4.8
Anthropic

$0.168750 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 48.1%
vs Claude Opus 4.7: Same
#18

Claude Opus 4.6
Anthropic

$0.168750 (rounded ~ $0.17)
vs o3 Deep Research: ↓ 48.1%
vs Claude Opus 4.7: Same
#19

GPT-5.4
OpenAI

$0.175000 (rounded ~ $0.18)
vs o3 Deep Research: ↓ 46.2%
vs Claude Opus 4.7: ↑ 3.7%
#20

GPT-5.4 Thinking
OpenAI

$0.175000 (rounded ~ $0.18)
vs o3 Deep Research: ↓ 46.2%
vs Claude Opus 4.7: ↑ 3.7%
#21

Gemini 2.5 Pro
Google

$0.175000 (rounded ~ $0.18)
vs o3 Deep Research: ↓ 46.2%
vs Claude Opus 4.7: ↑ 3.7%
#22

GPT-5.5 Instant
OpenAI

$0.175000 (rounded ~ $0.18)
vs o3 Deep Research: ↓ 46.2%
vs Claude Opus 4.7: ↑ 3.7%
#23

GPT-5.6 Sol
OpenAI

$0.175000 (rounded ~ $0.18)
vs o3 Deep Research: ↓ 46.2%
vs Claude Opus 4.7: ↑ 3.7%
#24

Grok 4.3
xAI

$0.240000
vs o3 Deep Research: ↓ 26.2%
vs Claude Opus 4.7: ↑ 42.2%
#25

Grok 4.20 Beta
xAI

$0.240000
vs o3 Deep Research: ↓ 26.2%
vs Claude Opus 4.7: ↑ 42.2%
#26

Gemini 3.1 Pro
Google

$0.265000 (rounded ~ $0.27)
vs o3 Deep Research: ↓ 18.5%
vs Claude Opus 4.7: ↑ 57%
#27

Claude Fable 5.1
Anthropic

$0.318750 (rounded ~ $0.32)
vs o3 Deep Research: ↓ 1.9%
vs Claude Opus 4.7: ↑ 88.9%
#28

Claude Mythos 5.1
Anthropic

$0.318750 (rounded ~ $0.32)
vs o3 Deep Research: ↓ 1.9%
vs Claude Opus 4.7: ↑ 88.9%
#29

Claude Fable 5
Anthropic

$0.337500 (rounded ~ $0.34)
vs o3 Deep Research: ↑ 3.8%
vs Claude Opus 4.7: ↑ 100%
#30

Claude Mythos 5
Anthropic

$0.337500 (rounded ~ $0.34)
vs o3 Deep Research: ↑ 3.8%
vs Claude Opus 4.7: ↑ 100%
#31

GPT-5.5
OpenAI

$0.662500 (rounded ~ $0.66)
vs o3 Deep Research: ↑ 103.8%
vs Claude Opus 4.7: ↑ 292.6%
#32

GPT-6 Astra
OpenAI

$1.350000
vs o3 Deep Research: ↑ 315.4%
vs Claude Opus 4.7: ↑ 700%
#33

GPT-6 Astra
OpenAI

$1.350000
vs o3 Deep Research: ↑ 315.4%
vs Claude Opus 4.7: ↑ 700%
✨ 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 research-heavy workflows, the choice between o3 Deep Research and Claude Opus 4.7 often comes down to the specific nature of your investigation. Both models excel at processing large context windows, but their underlying architectures serve different research archetypes. o3 Deep Research is explicitly tuned for multi-step, agentic investigation. It is designed to navigate complex queries, synthesize disparate sources, and perform deep reasoning across technical documentation, making it a formidable choice for literature reviews that require connecting abstract concepts across hundreds of pages. It behaves like a research assistant that doesn’t just read, but actively plans its retrieval strategy.

Claude Opus 4.7, by contrast, acts more as a high-fidelity creative and analytical engine. While it handles large-scale document analysis with ease, its strengths lie in nuance, tone consistency, and the ability to synthesize findings into highly readable, publication-ready drafts. If your research workflow involves high-volume data ingestion followed by the need for polished, expert-level prose, Claude often provides a smoother transition from raw analysis to final output. It is less about the discovery process and more about the precision of the synthesis. For publishing teams, the decision often balances the need for o3’s aggressive source-hunting against Claude’s editorial sophistication. Teams that prioritize deep data discovery should lean toward o3, while those focusing on the final drafting and narrative structure will find Claude’s performance difficult to surpass.

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.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →