What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. OpenAI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 30% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Deep Web Research: o3 Deep Research vs Sonar Deep Research (Scenario 4)

Name: Sonar Deep Research
Brand: Perplexity
Price: 0.16 USD
Availability: InStock
Rating: 4.5 (89 reviews)

o3 Deep Research vs Sonar Deep Research

Complete Comparison: 40,000 input tokens × 10,000 output tokens

⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	o3 Deep Research OpenAI	Sonar Deep Research Perplexity
Calculation Results (Current Inputs) (30% cached)
Input Tokens	40,000	40,000
Output Tokens	10,000	10,000
Cost Breakdown
Input Cost	$0.100000Worst	$0.080000Best
Output Cost	$0.100000Worst	$0.080000Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.173000 (rounded ~ $0.17) Most Expensive	$0.160000 Best Value
Processing Time	11 minutes, 8.93 seconds Slowest	4 minutes, 27.68 seconds Fastest
Tokens per Second	80Slowest	200Fastest
Time to First Token	450ms Worst	300ms Best
Cost per 1K tokens	$0.003460Worst	$0.003200Best
Tokens per Dollar	289,017Worst Value	312,500Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$2.500000Worst	$2.000000Best
Output Cost / 1M (Base)	$10.000000Worst	$8.000000Best
Input Cost / 1M (Optimized)	$1.250000Best Optimizations: 50.0% batch	$2.000000Worst Optimizations: No optimizations applied
Output Cost / 1M (Optimized)	$5.000000Best Optimizations: 50.0% batch	$8.000000Worst Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support	✓ Supported	✗ Not Supported
Caching Support 30	✓ Supported	✗ Not Supported requested
Batch API Support	✓ Supported	✗ Not Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

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

o3 Deep Research OpenAI

$0.173000 (rounded ~ $0.17)

Total Cost

⚡ 30% 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) $0.200000 Input: $0.100000
Output: $0.100000

Optimized Cost $0.173000 (rounded ~ $0.17) Input: $0.100000
Output: $0.100000
Unit: $0.000000
Fees: $0.000000

Total Savings $0.027000 (rounded ~ $0.03) 13.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 40,000 input tokens and 10,000 output tokens:

Input Cost: $0.100000
Output Cost: $0.100000
Total Cost: $0.173000 (rounded ~ $0.17)
Cost per 1K tokens: $0.003460
Tokens per dollar: 289,017 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: 11 minutes, 8.93 seconds
Latency: 450 milliseconds to first token
Base Throughput: 80 tokens/second
Effective Throughput: 75 tokens/second (temperature-adjusted)

Best Use Cases

Automated market intel and competitive 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 →

Sonar Deep Research Perplexity 1000000

$0.160000

Total Cost

⚡ 30% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✗ Not Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✗ Not Available

⚡

Caching

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.160000 Input: $0.080000
Output: $0.080000

Optimized Cost $0.160000 Input: $0.080000
Output: $0.080000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 40,000 input tokens and 10,000 output tokens:

Input Cost: $0.080000
Output Cost: $0.080000
Total Cost: $0.160000
Cost per 1K tokens: $0.003200
Tokens per dollar: 312,500 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 300ms time to first token:

Processing Time: 4 minutes, 27.68 seconds
Latency: 300 milliseconds to first token
Base Throughput: 200 tokens/second
Effective Throughput: 187 tokens/second (temperature-adjusted)

Best Use Cases

Automated market intel and competitive analysis.

Want this applied to YOUR actual stack?

This calculator shows the math for Sonar 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: 40,000

Output Tokens: 10,000

Batch API: Enabled (50% discount)

Cached Tokens: 30%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs o3 Deep Research	vs Sonar Deep Research
🏆	Mistral Small 3 Mistral AI	$0.001480 Best Value	↓ 99.1% cheaper	↓ 99.1% cheaper
🥈	Grok Code Fast 1 xAI	$0.005210 (rounded ~ $0.01)	↓ 97% cheaper	↓ 96.7% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.005575 (rounded ~ $0.01)	↓ 96.8% cheaper	↓ 96.5% cheaper
#4	Mistral Large 3 Mistral AI	$0.007400 (rounded ~ $0.01)	↓ 95.7% cheaper	↓ 95.4% cheaper
#5	Gemini 2.5 Flash Google	$0.008440 (rounded ~ $0.01)	↓ 95.1% cheaper	↓ 94.7% cheaper
#6	Grok 4.3 xAI	$0.015375 (rounded ~ $0.02)	↓ 91.1% cheaper	↓ 90.4% cheaper
#7	GPT-5.4 mini OpenAI	$0.016725 (rounded ~ $0.02)	↓ 90.3% cheaper	↓ 89.5% cheaper
#8	o4-mini Deep Research OpenAI	$0.017300 (rounded ~ $0.02)	↓ 90% cheaper	↓ 89.2% cheaper
#9	o4-mini OpenAI	$0.019030	↓ 89% cheaper	↓ 88.1% cheaper
#10	Claude Haiku 4.5 Anthropic	$0.019800	↓ 88.6% cheaper	↓ 87.6% cheaper
#11	Gemini 3.1 Flash Google	$0.022300 (rounded ~ $0.02)	↓ 87.1% cheaper	↓ 86.1% cheaper
#12	Grok 4.20 Beta xAI	$0.029600	↓ 82.9% cheaper	↓ 81.5% cheaper
#13	Gemini 3.5 Flash Google	$0.033450 (rounded ~ $0.03)	↓ 80.7% cheaper	↓ 79.1% cheaper
#14	GPT-5.3 Codex Spark OpenAI	$0.047775 (rounded ~ $0.05)	↓ 72.4% cheaper	↓ 70.1% cheaper
#15	GPT-5.3 Instant OpenAI	$0.047775 (rounded ~ $0.05)	↓ 72.4% cheaper	↓ 70.1% cheaper
#16	Claude Sonnet 4.6 Anthropic	$0.059400	↓ 65.7% cheaper	↓ 62.9% cheaper
#17	Gemini 2.5 Pro Google	$0.068250 (rounded ~ $0.07)	↓ 60.5% cheaper	↓ 57.3% cheaper
#18	Gemini 3.1 Pro Google	$0.089200	↓ 48.4% cheaper	↓ 44.3% cheaper
#19	Claude Opus 4.7 Anthropic	$0.099000 (rounded ~ $0.10)	↓ 42.8% cheaper	↓ 38.1% cheaper
#20	Claude Opus 4.8 Anthropic	$0.099000 (rounded ~ $0.10)	↓ 42.8% cheaper	↓ 38.1% cheaper
#21	Claude Opus 4.6 Anthropic	$0.099000 (rounded ~ $0.10)	↓ 42.8% cheaper	↓ 38.1% cheaper
#22	GPT-5.4 OpenAI	$0.111500 (rounded ~ $0.11)	↓ 35.5% cheaper	↓ 30.3% cheaper
#23	GPT-5.4 Thinking OpenAI	$0.111500 (rounded ~ $0.11)	↓ 35.5% cheaper	↓ 30.3% cheaper
#24	GPT-5.5 Instant OpenAI	$0.111500 (rounded ~ $0.11)	↓ 35.5% cheaper	↓ 30.3% cheaper
#25	GPT-5.5 OpenAI	$0.223000 (rounded ~ $0.22)	↑ 28.9% more	↑ 39.4% more
#26	o3 Pro OpenAI	$0.346000 (rounded ~ $0.35)	↑ 100% more	↑ 116.3% more
#27	GPT-5.2 Pro OpenAI	$0.573300 (rounded ~ $0.57)	↑ 231.4% more	↑ 258.3% more
#28	GPT-5.2 Pro OpenAI	$0.573300 (rounded ~ $0.57)	↑ 231.4% more	↑ 258.3% more

🏆

Mistral Small 3
Mistral AI

$0.001480

vs o3 Deep Research: ↓ 99.1%

vs Sonar Deep Research: ↓ 99.1%

🥈

Grok Code Fast 1
xAI

$0.005210 (rounded ~ $0.01)

vs o3 Deep Research: ↓ 97%

vs Sonar Deep Research: ↓ 96.7%

🥉

Gemini 3.1 Flash Lite
Google

$0.005575 (rounded ~ $0.01)

vs o3 Deep Research: ↓ 96.8%

vs Sonar Deep Research: ↓ 96.5%

Mistral Large 3
Mistral AI

$0.007400 (rounded ~ $0.01)

vs o3 Deep Research: ↓ 95.7%

vs Sonar Deep Research: ↓ 95.4%

Gemini 2.5 Flash
Google

$0.008440 (rounded ~ $0.01)

vs o3 Deep Research: ↓ 95.1%

vs Sonar Deep Research: ↓ 94.7%

Grok 4.3
xAI

$0.015375 (rounded ~ $0.02)

vs o3 Deep Research: ↓ 91.1%

vs Sonar Deep Research: ↓ 90.4%

GPT-5.4 mini
OpenAI

$0.016725 (rounded ~ $0.02)

vs o3 Deep Research: ↓ 90.3%

vs Sonar Deep Research: ↓ 89.5%

o4-mini Deep Research
OpenAI

$0.017300 (rounded ~ $0.02)

vs o3 Deep Research: ↓ 90%

vs Sonar Deep Research: ↓ 89.2%

o4-mini
OpenAI

$0.019030

vs o3 Deep Research: ↓ 89%

vs Sonar Deep Research: ↓ 88.1%

#10

Claude Haiku 4.5
Anthropic

$0.019800

vs o3 Deep Research: ↓ 88.6%

vs Sonar Deep Research: ↓ 87.6%

#11

Gemini 3.1 Flash
Google

$0.022300 (rounded ~ $0.02)

vs o3 Deep Research: ↓ 87.1%

vs Sonar Deep Research: ↓ 86.1%

#12

Grok 4.20 Beta
xAI

$0.029600

vs o3 Deep Research: ↓ 82.9%

vs Sonar Deep Research: ↓ 81.5%

#13

Gemini 3.5 Flash
Google

$0.033450 (rounded ~ $0.03)

vs o3 Deep Research: ↓ 80.7%

vs Sonar Deep Research: ↓ 79.1%

#14

GPT-5.3 Codex Spark
OpenAI

$0.047775 (rounded ~ $0.05)

vs o3 Deep Research: ↓ 72.4%

vs Sonar Deep Research: ↓ 70.1%

#15

GPT-5.3 Instant
OpenAI

$0.047775 (rounded ~ $0.05)

vs o3 Deep Research: ↓ 72.4%

vs Sonar Deep Research: ↓ 70.1%

#16

Claude Sonnet 4.6
Anthropic

$0.059400

vs o3 Deep Research: ↓ 65.7%

vs Sonar Deep Research: ↓ 62.9%

#17

Gemini 2.5 Pro
Google

$0.068250 (rounded ~ $0.07)

vs o3 Deep Research: ↓ 60.5%

vs Sonar Deep Research: ↓ 57.3%

#18

Gemini 3.1 Pro
Google

$0.089200

vs o3 Deep Research: ↓ 48.4%

vs Sonar Deep Research: ↓ 44.3%

#19

Claude Opus 4.7
Anthropic

$0.099000 (rounded ~ $0.10)

vs o3 Deep Research: ↓ 42.8%

vs Sonar Deep Research: ↓ 38.1%

#20

Claude Opus 4.8
Anthropic

$0.099000 (rounded ~ $0.10)

vs o3 Deep Research: ↓ 42.8%

vs Sonar Deep Research: ↓ 38.1%

#21

Claude Opus 4.6
Anthropic

$0.099000 (rounded ~ $0.10)

vs o3 Deep Research: ↓ 42.8%

vs Sonar Deep Research: ↓ 38.1%

#22

GPT-5.4
OpenAI

$0.111500 (rounded ~ $0.11)

vs o3 Deep Research: ↓ 35.5%

vs Sonar Deep Research: ↓ 30.3%

#23

GPT-5.4 Thinking
OpenAI

$0.111500 (rounded ~ $0.11)

vs o3 Deep Research: ↓ 35.5%

vs Sonar Deep Research: ↓ 30.3%

#24

GPT-5.5 Instant
OpenAI

$0.111500 (rounded ~ $0.11)

vs o3 Deep Research: ↓ 35.5%

vs Sonar Deep Research: ↓ 30.3%

#25

GPT-5.5
OpenAI

$0.223000 (rounded ~ $0.22)

vs o3 Deep Research: ↑ 28.9%

vs Sonar Deep Research: ↑ 39.4%

#26

o3 Pro
OpenAI

$0.346000 (rounded ~ $0.35)

vs o3 Deep Research: ↑ 100%

vs Sonar Deep Research: ↑ 116.3%

#27

GPT-5.2 Pro
OpenAI

$0.573300 (rounded ~ $0.57)

vs o3 Deep Research: ↑ 231.4%

vs Sonar Deep Research: ↑ 258.3%

#28

GPT-5.2 Pro
OpenAI

$0.573300 (rounded ~ $0.57)

vs o3 Deep Research: ↑ 231.4%

vs Sonar Deep Research: ↑ 258.3%

✨ 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.

Enterprise Comparison: Automated market intel and competitive analysis.

Detailed cost-performance analysis for Q2 2026.

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.

Deep Web Research: o3 Deep Research vs Sonar Deep Research (Scenario 4)

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

o3 Deep Research

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

o3 Deep Research OpenAI

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Sonar Deep Research Perplexity 1000000

💰 Total Cost Calculation (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Grok Code Fast 1 xAI

Gemini 3.1 Flash Lite Google

Mistral Large 3 Mistral AI

Gemini 2.5 Flash Google

Grok 4.3 xAI

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

o4-mini OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Grok 4.20 Beta xAI

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 4.6 Anthropic

Gemini 2.5 Pro Google

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Enterprise Comparison: Automated market intel and competitive analysis.

Frequently Asked Questions

Mistral Small 3
Mistral AI

Grok Code Fast 1
xAI

Gemini 3.1 Flash Lite
Google

Mistral Large 3
Mistral AI

Gemini 2.5 Flash
Google

Grok 4.3
xAI

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

o4-mini
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Grok 4.20 Beta
xAI

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Claude Sonnet 4.6
Anthropic

Gemini 2.5 Pro
Google

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

GPT-5.5
OpenAI

o3 Pro
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI