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. Google offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 50% 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.

Gemini 3.8 Flash vs Claude Sonnet 5.5 for Compliance Auditing at 50K Tokens

Name: Claude Sonnet 5.5
Brand: Anthropic
Price: 0.02 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Gemini 3.8 Flash vs Claude Sonnet 5.5

Complete Comparison: 50,000 input tokens × 1,000 output tokens

⚡ 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	Gemini 3.8 Flash Google	Claude Sonnet 5.5 Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens	50,000	50,000
Output Tokens	1,000	1,000
Cost Breakdown
Input Cost	$0.009375Best	$0.025000 (rounded ~ $0.03)Worst
Output Cost	$0.000938Best	$0.002500Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.006094 (rounded ~ $0.01) Best Value	$0.015625 (rounded ~ $0.02) Most Expensive
Processing Time	2 minutes, 33.18 seconds Fastest	2 minutes, 53.58 seconds Slowest
Tokens per Second	340Fastest	300Slowest
Time to First Token	105ms Best	300ms Worst
Cost per 1K tokens	$0.000119Best	$0.000306Worst
Tokens per Dollar	8,369,231Best Value	3,264,000Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.187500 (rounded ~ $0.19)Best	$0.500000Worst
Output Cost / 1M (Base)	$0.937500 (rounded ~ $0.94)Best	$2.500000Worst
Input Cost / 1M (Optimized)	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch	$0.250000Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$0.468750 (rounded ~ $0.47)Best Optimizations: 50.0% batch	$1.250000Worst Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Video Support	✓ Supported	✗ Not Supported
Audio Support	✓ Supported	✗ Not 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

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.

Gemini 3.8 Flash Google 1048576

$0.006094 (rounded ~ $0.01)

Total Cost

⚡ 50% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.010313 Input: $0.009375
Output: $0.000938

Optimized Cost $0.006094 (rounded ~ $0.01) Input: $0.009375
Output: $0.000938
Unit: $0.000000
Fees: $0.000000

Total Savings $0.004219 40.9% 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 1,000 output tokens:

Input Cost: $0.009375
Output Cost: $0.000938
Total Cost: $0.006094 (rounded ~ $0.01)
Cost per 1K tokens: $0.000119
Tokens per dollar: 8,369,231 tokens
Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

Processing Time: 2 minutes, 33.18 seconds
Latency: 105 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.8 Flash is best for high-volume metadata extraction; Claude Sonnet 5.5 is superior for complex regulatory interpretation and nuanced risk detection.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 Flash. 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 Sonnet 5.5 Anthropic 1000000

$0.015625 (rounded ~ $0.02)

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) $0.027500 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.002500

Optimized Cost $0.015625 (rounded ~ $0.02) Input: $0.025000 (rounded ~ $0.03)
Output: $0.002500
Unit: $0.000000
Fees: $0.000000

Total Savings $0.011875 (rounded ~ $0.01) 43.2% 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 1,000 output tokens:

Input Cost: $0.025000 (rounded ~ $0.03)
Output Cost: $0.002500
Total Cost: $0.015625 (rounded ~ $0.02)
Cost per 1K tokens: $0.000306
Tokens per dollar: 3,264,000 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

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

Processing Time: 2 minutes, 53.58 seconds
Latency: 300 milliseconds to first token
Base Throughput: 300 tokens/second
Effective Throughput: 294 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.8 Flash is best for high-volume metadata extraction; Claude Sonnet 5.5 is superior for complex regulatory interpretation and nuanced risk detection.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5.5. 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 Gemini 3.8 Flash

📋 Active Input Parameters

Input Tokens: 50,000

Output Tokens: 1,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Gemini 3.8 Flash	vs Claude Sonnet 5.5
🏆	Claude Haiku 5.5 Anthropic	$0.001625 Best Value	↓ 73.3% cheaper	↓ 89.6% cheaper
🥈	GPT-6 Luna OpenAI	$0.001625	↓ 73.3% cheaper	↓ 89.6% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.001675	↓ 72.5% cheaper	↓ 89.3% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.002094	↓ 65.6% cheaper	↓ 86.6% cheaper
#5	Gemini 3.5 Flash-Lite Google	$0.002688	↓ 55.9% cheaper	↓ 82.8% cheaper
#6	Gemini 2.5 Flash Google	$0.002688	↓ 55.9% cheaper	↓ 82.8% cheaper
#7	Mistral Large 3 Mistral AI	$0.003813	↓ 37.4% cheaper	↓ 75.6% cheaper
#8	Gemini 3.6 Flash Google	$0.006094 (rounded ~ $0.01)	Same price	↓ 61% cheaper
#9	GPT-5.4 mini OpenAI	$0.006281 (rounded ~ $0.01)	↑ 3.1% more	↓ 59.8% cheaper
#10	Claude Haiku 4.5 Anthropic	$0.008125 (rounded ~ $0.01)	↑ 33.3% more	↓ 48% cheaper
#11	Gemini 3.1 Flash Google	$0.008375 (rounded ~ $0.01)	↑ 37.4% more	↓ 46.4% cheaper
#12	Mistral Large 4 Mistral AI	$0.010395	↑ 70.6% more	↓ 33.5% cheaper
#13	GPT-5.3 Codex Spark OpenAI	$0.015531 (rounded ~ $0.02)	↑ 154.9% more	↓ 0.6% cheaper
#14	GPT-5.3 Instant OpenAI	$0.015531 (rounded ~ $0.02)	↑ 154.9% more	↓ 0.6% cheaper
#15	Claude Sonnet 5.5 Anthropic	$0.015625 (rounded ~ $0.02)	↑ 156.4% more	Same price
#16	Claude Sonnet 5 Anthropic	$0.016250 (rounded ~ $0.02)	↑ 166.7% more	↑ 4% more
#17	Gemini 4 Argon Google	$0.016250 (rounded ~ $0.02)	↑ 166.7% more	↑ 4% more
#18	GPT-5.6 Terra OpenAI	$0.016750 (rounded ~ $0.02)	↑ 174.9% more	↑ 7.2% more
#19	Gemini 2.5 Pro Google	$0.022188 (rounded ~ $0.02)	↑ 264.1% more	↑ 42% more
#20	Claude Sonnet 4.6 Anthropic	$0.024375 (rounded ~ $0.02)	↑ 300% more	↑ 56% more
#21	Grok 4.3 xAI	$0.029500	↑ 384.1% more	↑ 88.8% more
#22	Grok 4.20 Beta xAI	$0.029500	↑ 384.1% more	↑ 88.8% more
#23	Claude Opus 5.5 Anthropic	$0.031250 (rounded ~ $0.03)	↑ 412.8% more	↑ 100% more
#24	GPT-6.1 Sol OpenAI	$0.032500 (rounded ~ $0.03)	↑ 433.3% more	↑ 108% more
#25	GPT-6 Sol OpenAI	$0.032500 (rounded ~ $0.03)	↑ 433.3% more	↑ 108% more
#26	GPT-5.6 Sol OpenAI	$0.032500 (rounded ~ $0.03)	↑ 433.3% more	↑ 108% more
#27	Gemini 3.1 Pro Google	$0.033500 (rounded ~ $0.03)	↑ 449.7% more	↑ 114.4% more
#28	Claude Opus 4.7 Anthropic	$0.040625	↑ 566.7% more	↑ 160% more
#29	Claude Opus 5 Anthropic	$0.040625	↑ 566.7% more	↑ 160% more
#30	Claude Opus 4.8 Anthropic	$0.040625	↑ 566.7% more	↑ 160% more
#31	Claude Opus 4.6 Anthropic	$0.040625	↑ 566.7% more	↑ 160% more
#32	GPT-5.4 OpenAI	$0.041875 (rounded ~ $0.04)	↑ 587.2% more	↑ 168% more
#33	GPT-5.4 Thinking OpenAI	$0.041875 (rounded ~ $0.04)	↑ 587.2% more	↑ 168% more
#34	GPT-5.5 Instant OpenAI	$0.041875 (rounded ~ $0.04)	↑ 587.2% more	↑ 168% more
#35	Claude Fable 5.1 Anthropic	$0.076563 (rounded ~ $0.08)	↑ 1156.4% more	↑ 390% more
#36	Claude Mythos 5.1 Anthropic	$0.076563 (rounded ~ $0.08)	↑ 1156.4% more	↑ 390% more
#37	Claude Fable 5 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 1233.3% more	↑ 420% more
#38	Claude Mythos 5 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 1233.3% more	↑ 420% more
#39	GPT-5.5 OpenAI	$0.083750 (rounded ~ $0.08)	↑ 1274.4% more	↑ 436% more
#40	GPT-6 Astra OpenAI	$0.162500 (rounded ~ $0.16)	↑ 2566.7% more	↑ 940% more
#41	GPT-5.2 Pro OpenAI	$0.186375 (rounded ~ $0.19)	↑ 2958.5% more	↑ 1092.8% more
#42	GPT-5.2 Pro OpenAI	$0.186375 (rounded ~ $0.19)	↑ 2958.5% more	↑ 1092.8% more

🏆

Claude Haiku 5.5
Anthropic

$0.001625

vs Gemini 3.8 Flash: ↓ 73.3%

vs Claude Sonnet 5.5: ↓ 89.6%

🥈

GPT-6 Luna
OpenAI

$0.001625

vs Gemini 3.8 Flash: ↓ 73.3%

vs Claude Sonnet 5.5: ↓ 89.6%

🥉

GPT-5.6 Luna
OpenAI

$0.001675

vs Gemini 3.8 Flash: ↓ 72.5%

vs Claude Sonnet 5.5: ↓ 89.3%

Gemini 3.1 Flash Lite
Google

$0.002094

vs Gemini 3.8 Flash: ↓ 65.6%

vs Claude Sonnet 5.5: ↓ 86.6%

Gemini 3.5 Flash-Lite
Google

$0.002688

vs Gemini 3.8 Flash: ↓ 55.9%

vs Claude Sonnet 5.5: ↓ 82.8%

Gemini 2.5 Flash
Google

$0.002688

vs Gemini 3.8 Flash: ↓ 55.9%

vs Claude Sonnet 5.5: ↓ 82.8%

Mistral Large 3
Mistral AI

$0.003813

vs Gemini 3.8 Flash: ↓ 37.4%

vs Claude Sonnet 5.5: ↓ 75.6%

Gemini 3.6 Flash
Google

$0.006094 (rounded ~ $0.01)

vs Gemini 3.8 Flash: Same

vs Claude Sonnet 5.5: ↓ 61%

GPT-5.4 mini
OpenAI

$0.006281 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 3.1%

vs Claude Sonnet 5.5: ↓ 59.8%

#10

Claude Haiku 4.5
Anthropic

$0.008125 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 33.3%

vs Claude Sonnet 5.5: ↓ 48%

#11

Gemini 3.1 Flash
Google

$0.008375 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 37.4%

vs Claude Sonnet 5.5: ↓ 46.4%

#12

Mistral Large 4
Mistral AI

$0.010395

vs Gemini 3.8 Flash: ↑ 70.6%

vs Claude Sonnet 5.5: ↓ 33.5%

#13

GPT-5.3 Codex Spark
OpenAI

$0.015531 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 154.9%

vs Claude Sonnet 5.5: ↓ 0.6%

#14

GPT-5.3 Instant
OpenAI

$0.015531 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 154.9%

vs Claude Sonnet 5.5: ↓ 0.6%

#15

Claude Sonnet 5.5
Anthropic

$0.015625 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 156.4%

vs Claude Sonnet 5.5: Same

#16

Claude Sonnet 5
Anthropic

$0.016250 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 166.7%

vs Claude Sonnet 5.5: ↑ 4%

#17

Gemini 4 Argon
Google

$0.016250 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 166.7%

vs Claude Sonnet 5.5: ↑ 4%

#18

GPT-5.6 Terra
OpenAI

$0.016750 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 174.9%

vs Claude Sonnet 5.5: ↑ 7.2%

#19

Gemini 2.5 Pro
Google

$0.022188 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 264.1%

vs Claude Sonnet 5.5: ↑ 42%

#20

Claude Sonnet 4.6
Anthropic

$0.024375 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 300%

vs Claude Sonnet 5.5: ↑ 56%

#21

Grok 4.3
xAI

$0.029500

vs Gemini 3.8 Flash: ↑ 384.1%

vs Claude Sonnet 5.5: ↑ 88.8%

#22

Grok 4.20 Beta
xAI

$0.029500

vs Gemini 3.8 Flash: ↑ 384.1%

vs Claude Sonnet 5.5: ↑ 88.8%

#23

Claude Opus 5.5
Anthropic

$0.031250 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 412.8%

vs Claude Sonnet 5.5: ↑ 100%

#24

GPT-6.1 Sol
OpenAI

$0.032500 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Claude Sonnet 5.5: ↑ 108%

#25

GPT-6 Sol
OpenAI

$0.032500 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Claude Sonnet 5.5: ↑ 108%

#26

GPT-5.6 Sol
OpenAI

$0.032500 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Claude Sonnet 5.5: ↑ 108%

#27

Gemini 3.1 Pro
Google

$0.033500 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 449.7%

vs Claude Sonnet 5.5: ↑ 114.4%

#28

Claude Opus 4.7
Anthropic

$0.040625

vs Gemini 3.8 Flash: ↑ 566.7%

vs Claude Sonnet 5.5: ↑ 160%

#29

Claude Opus 5
Anthropic

$0.040625

vs Gemini 3.8 Flash: ↑ 566.7%

vs Claude Sonnet 5.5: ↑ 160%

#30

Claude Opus 4.8
Anthropic

$0.040625

vs Gemini 3.8 Flash: ↑ 566.7%

vs Claude Sonnet 5.5: ↑ 160%

#31

Claude Opus 4.6
Anthropic

$0.040625

vs Gemini 3.8 Flash: ↑ 566.7%

vs Claude Sonnet 5.5: ↑ 160%

#32

GPT-5.4
OpenAI

$0.041875 (rounded ~ $0.04)

vs Gemini 3.8 Flash: ↑ 587.2%

vs Claude Sonnet 5.5: ↑ 168%

#33

GPT-5.4 Thinking
OpenAI

$0.041875 (rounded ~ $0.04)

vs Gemini 3.8 Flash: ↑ 587.2%

vs Claude Sonnet 5.5: ↑ 168%

#34

GPT-5.5 Instant
OpenAI

$0.041875 (rounded ~ $0.04)

vs Gemini 3.8 Flash: ↑ 587.2%

vs Claude Sonnet 5.5: ↑ 168%

#35

Claude Fable 5.1
Anthropic

$0.076563 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 1156.4%

vs Claude Sonnet 5.5: ↑ 390%

#36

Claude Mythos 5.1
Anthropic

$0.076563 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 1156.4%

vs Claude Sonnet 5.5: ↑ 390%

#37

Claude Fable 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 1233.3%

vs Claude Sonnet 5.5: ↑ 420%

#38

Claude Mythos 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 1233.3%

vs Claude Sonnet 5.5: ↑ 420%

#39

GPT-5.5
OpenAI

$0.083750 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 1274.4%

vs Claude Sonnet 5.5: ↑ 436%

#40

GPT-6 Astra
OpenAI

$0.162500 (rounded ~ $0.16)

vs Gemini 3.8 Flash: ↑ 2566.7%

vs Claude Sonnet 5.5: ↑ 940%

#41

GPT-5.2 Pro
OpenAI

$0.186375 (rounded ~ $0.19)

vs Gemini 3.8 Flash: ↑ 2958.5%

vs Claude Sonnet 5.5: ↑ 1092.8%

#42

GPT-5.2 Pro
OpenAI

$0.186375 (rounded ~ $0.19)

vs Gemini 3.8 Flash: ↑ 2958.5%

vs Claude Sonnet 5.5: ↑ 1092.8%

✨ 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.

Balancing Scale and Accuracy in Compliance

Compliance auditing at volume requires a strategic mix of speed and precision. Comparing Gemini 3.8 Flash and Claude Sonnet 5.5 highlights the trade-offs between high-throughput processing and deep reasoning capabilities. Gemini 3.8 Flash is frequently the preferred choice for massive document pipelines where latency and cost-efficiency are critical, particularly when performing routine tasks like verifying document headers, standard metadata extraction, or initial flagging of missing disclosures. Its performance characteristics allow for rapid processing across thousands of files, making it an excellent candidate for initial triage.

Conversely, Claude Sonnet 5.5 occupies a middle ground that is often superior for more complex audit requirements. It provides a higher degree of reasoning fidelity, which is invaluable when the audit involves checking for subtle regulatory inconsistencies or interpreting ambiguous policy language that requires contextual awareness. While Gemini shines in high-volume, repetitive extraction tasks, Claude Sonnet 5.5 is better suited for qualitative analysis that bridges the gap between speed and the rigorous scrutiny required for legal compliance. Teams often find that a tiered approach—using the Flash model to index and categorize documents before routing specific, higher-risk files to Sonnet—offers the most efficient workflow. Ultimately, the decision hinges on the complexity of the regulatory framework; for standard reporting, the speed of Gemini is unmatched, whereas for risk-sensitive audits, the nuanced analysis of Sonnet provides greater reliability.

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.

Gemini 3.8 Flash vs Claude Sonnet 5.5 for Compliance Auditing at 50K Tokens

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Gemini 3.8 Flash

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Gemini 3.8 Flash Google 1048576

💰 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?

Claude Sonnet 5.5 Anthropic 1000000

💰 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?

✨ Market Recommendations AI Model Registry

Claude Haiku 5.5 Anthropic

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

Gemini 3.6 Flash Google

GPT-5.4 mini OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Mistral Large 4 Mistral AI

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

Claude Opus 5.5 Anthropic

GPT-6.1 Sol OpenAI

GPT-6 Sol OpenAI

GPT-5.6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 5 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

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Balancing Scale and Accuracy in Compliance

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Claude Haiku 5.5
Anthropic

GPT-6 Luna
OpenAI

GPT-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

Gemini 3.6 Flash
Google

GPT-5.4 mini
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Mistral Large 4
Mistral AI

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
Google

GPT-5.6 Terra
OpenAI

Gemini 2.5 Pro
Google

Claude Sonnet 4.6
Anthropic

Grok 4.3
xAI

Grok 4.20 Beta
xAI

Claude Opus 5.5
Anthropic

GPT-6.1 Sol
OpenAI

GPT-6 Sol
OpenAI

GPT-5.6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 5
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

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI