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.

Scale Comparison: Gemini 3.1 Pro vs Claude Opus 4.7 for 100,000-Token Financial Analysis

Name: Claude Opus 4.7
Brand: Anthropic
Price: 0.08 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 4.7 has been replaced by Claude Opus 5.5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Opus 5.5 pricing → · All recent pricing changes

Gemini 3.1 Pro vs Claude Opus 4.7

Complete Comparison: 100,000 input tokens × 2,000 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 3.1 Pro Google	Claude Opus 4.7 Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.100000Best	$0.125000 (rounded ~ $0.13)Worst
Output Cost	$0.012000 (rounded ~ $0.01)Best	$0.012500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.067000 (rounded ~ $0.07) Best Value	$0.081250 (rounded ~ $0.08) Most Expensive
Processing Time	4 minutes, 20.28 seconds Fastest	6 minutes, 40.33 seconds Slowest
Tokens per Second	400Fastest	260Slowest
Time to First Token	220ms Best	400ms Worst
Cost per 1K tokens	$0.000657Best	$0.000797Worst
Tokens per Dollar	1,522,388Best Value	1,255,385Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.000000Best	$1.250000Worst
Output Cost / 1M (Base)	$6.000000Best	$6.250000Worst
Input Cost / 1M (Optimized)	$0.500000Best Optimizations: 50.0% batch	$0.625000 (rounded ~ $0.63)Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$3.000000Best Optimizations: 50.0% batch	$3.125000 (rounded ~ $3.13)Worst 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 3.1 Pro Google 1000000

$0.067000 (rounded ~ $0.07)

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) $0.112000 (rounded ~ $0.11) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)

Optimized Cost $0.067000 (rounded ~ $0.07) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.045000 (rounded ~ $0.05) 40.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

📊 Dynamic Tier

Standard

tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.100000
Output Cost: $0.012000 (rounded ~ $0.01)
Total Cost: $0.067000 (rounded ~ $0.07)
Cost per 1K tokens: $0.000657
Tokens per dollar: 1,522,388 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

Processing Time: 4 minutes, 20.28 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Extracting structured financial metrics from large-scale SEC filings like 10-Ks.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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

$0.081250 (rounded ~ $0.08)

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) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)

Optimized Cost $0.081250 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.056250 (rounded ~ $0.06) 40.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.125000 (rounded ~ $0.13)
Output Cost: $0.012500 (rounded ~ $0.01)
Total Cost: $0.081250 (rounded ~ $0.08)
Cost per 1K tokens: $0.000797
Tokens per dollar: 1,255,385 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: 6 minutes, 40.33 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Extracting structured financial metrics from large-scale SEC filings like 10-Ks.

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 Gemini 3.1 Pro

📋 Active Input Parameters

Input Tokens: 100,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Gemini 3.1 Pro	vs Claude Opus 4.7
🏆	Claude Haiku 5.5 Anthropic	$0.003250 Best Value	↓ 95.1% cheaper	↓ 96% cheaper
🥈	GPT-6 Luna OpenAI	$0.003250	↓ 95.1% cheaper	↓ 96% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.003350	↓ 95% cheaper	↓ 95.9% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.004188	↓ 93.8% cheaper	↓ 94.8% cheaper
#5	Gemini 3.5 Flash-Lite Google	$0.005375 (rounded ~ $0.01)	↓ 92% cheaper	↓ 93.4% cheaper
#6	Gemini 2.5 Flash Google	$0.005375 (rounded ~ $0.01)	↓ 92% cheaper	↓ 93.4% cheaper
#7	Mistral Large 3 Mistral AI	$0.007625 (rounded ~ $0.01)	↓ 88.6% cheaper	↓ 90.6% cheaper
#8	Gemini 3.8 Flash Google	$0.012188 (rounded ~ $0.01)	↓ 81.8% cheaper	↓ 85% cheaper
#9	Gemini 3.6 Flash Google	$0.012188 (rounded ~ $0.01)	↓ 81.8% cheaper	↓ 85% cheaper
#10	GPT-5.4 mini OpenAI	$0.012563 (rounded ~ $0.01)	↓ 81.3% cheaper	↓ 84.5% cheaper
#11	Claude Haiku 4.5 Anthropic	$0.016250 (rounded ~ $0.02)	↓ 75.7% cheaper	↓ 80% cheaper
#12	Gemini 3.1 Flash Google	$0.016750 (rounded ~ $0.02)	↓ 75% cheaper	↓ 79.4% cheaper
#13	Mistral Large 4 Mistral AI	$0.020790	↓ 69% cheaper	↓ 74.4% cheaper
#14	GPT-5.3 Codex Spark OpenAI	$0.031063 (rounded ~ $0.03)	↓ 53.6% cheaper	↓ 61.8% cheaper
#15	GPT-5.3 Instant OpenAI	$0.031063 (rounded ~ $0.03)	↓ 53.6% cheaper	↓ 61.8% cheaper
#16	Claude Sonnet 5.5 Anthropic	$0.031250 (rounded ~ $0.03)	↓ 53.4% cheaper	↓ 61.5% cheaper
#17	Claude Sonnet 5 Anthropic	$0.032500 (rounded ~ $0.03)	↓ 51.5% cheaper	↓ 60% cheaper
#18	Gemini 4 Argon Google	$0.032500 (rounded ~ $0.03)	↓ 51.5% cheaper	↓ 60% cheaper
#19	GPT-5.6 Terra OpenAI	$0.033500 (rounded ~ $0.03)	↓ 50% cheaper	↓ 58.8% cheaper
#20	Gemini 2.5 Pro Google	$0.044375 (rounded ~ $0.04)	↓ 33.8% cheaper	↓ 45.4% cheaper
#21	Claude Sonnet 4.6 Anthropic	$0.048750 (rounded ~ $0.05)	↓ 27.2% cheaper	↓ 40% cheaper
#22	Grok 4.3 xAI	$0.059000 (rounded ~ $0.06)	↓ 11.9% cheaper	↓ 27.4% cheaper
#23	Grok 4.20 Beta xAI	$0.059000 (rounded ~ $0.06)	↓ 11.9% cheaper	↓ 27.4% cheaper
#24	Claude Opus 5.5 Anthropic	$0.062500 (rounded ~ $0.06)	↓ 6.7% cheaper	↓ 23.1% cheaper
#25	GPT-6.1 Sol OpenAI	$0.065000 (rounded ~ $0.07)	↓ 3% cheaper	↓ 20% cheaper
#26	GPT-6 Sol OpenAI	$0.065000 (rounded ~ $0.07)	↓ 3% cheaper	↓ 20% cheaper
#27	GPT-5.6 Sol OpenAI	$0.065000 (rounded ~ $0.07)	↓ 3% cheaper	↓ 20% cheaper
#28	Claude Opus 4.7 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 21.3% more	Same price
#29	Claude Opus 5 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 21.3% more	Same price
#30	Claude Opus 4.8 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 21.3% more	Same price
#31	Claude Opus 4.6 Anthropic	$0.081250 (rounded ~ $0.08)	↑ 21.3% more	Same price
#32	GPT-5.4 OpenAI	$0.083750 (rounded ~ $0.08)	↑ 25% more	↑ 3.1% more
#33	GPT-5.4 Thinking OpenAI	$0.083750 (rounded ~ $0.08)	↑ 25% more	↑ 3.1% more
#34	GPT-5.5 Instant OpenAI	$0.083750 (rounded ~ $0.08)	↑ 25% more	↑ 3.1% more
#35	Claude Fable 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 128.5% more	↑ 88.5% more
#36	Claude Mythos 5.1 Anthropic	$0.153125 (rounded ~ $0.15)	↑ 128.5% more	↑ 88.5% more
#37	Claude Fable 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 142.5% more	↑ 100% more
#38	Claude Mythos 5 Anthropic	$0.162500 (rounded ~ $0.16)	↑ 142.5% more	↑ 100% more
#39	GPT-5.5 OpenAI	$0.167500 (rounded ~ $0.17)	↑ 150% more	↑ 106.2% more
#40	GPT-6 Astra OpenAI	$0.325000 (rounded ~ $0.33)	↑ 385.1% more	↑ 300% more
#41	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 456.3% more	↑ 358.8% more
#42	GPT-5.2 Pro OpenAI	$0.372750 (rounded ~ $0.37)	↑ 456.3% more	↑ 358.8% more

🏆

Claude Haiku 5.5
Anthropic

$0.003250

vs Gemini 3.1 Pro: ↓ 95.1%

vs Claude Opus 4.7: ↓ 96%

🥈

GPT-6 Luna
OpenAI

$0.003250

vs Gemini 3.1 Pro: ↓ 95.1%

vs Claude Opus 4.7: ↓ 96%

🥉

GPT-5.6 Luna
OpenAI

$0.003350

vs Gemini 3.1 Pro: ↓ 95%

vs Claude Opus 4.7: ↓ 95.9%

Gemini 3.1 Flash Lite
Google

$0.004188

vs Gemini 3.1 Pro: ↓ 93.8%

vs Claude Opus 4.7: ↓ 94.8%

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 92%

vs Claude Opus 4.7: ↓ 93.4%

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 92%

vs Claude Opus 4.7: ↓ 93.4%

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 88.6%

vs Claude Opus 4.7: ↓ 90.6%

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 81.8%

vs Claude Opus 4.7: ↓ 85%

Gemini 3.6 Flash
Google

$0.012188 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 81.8%

vs Claude Opus 4.7: ↓ 85%

#10

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)

vs Gemini 3.1 Pro: ↓ 81.3%

vs Claude Opus 4.7: ↓ 84.5%

#11

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)

vs Gemini 3.1 Pro: ↓ 75.7%

vs Claude Opus 4.7: ↓ 80%

#12

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)

vs Gemini 3.1 Pro: ↓ 75%

vs Claude Opus 4.7: ↓ 79.4%

#13

Mistral Large 4
Mistral AI

$0.020790

vs Gemini 3.1 Pro: ↓ 69%

vs Claude Opus 4.7: ↓ 74.4%

#14

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 53.6%

vs Claude Opus 4.7: ↓ 61.8%

#15

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 53.6%

vs Claude Opus 4.7: ↓ 61.8%

#16

Claude Sonnet 5.5
Anthropic

$0.031250 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 53.4%

vs Claude Opus 4.7: ↓ 61.5%

#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 51.5%

vs Claude Opus 4.7: ↓ 60%

#18

Gemini 4 Argon
Google

$0.032500 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 51.5%

vs Claude Opus 4.7: ↓ 60%

#19

GPT-5.6 Terra
OpenAI

$0.033500 (rounded ~ $0.03)

vs Gemini 3.1 Pro: ↓ 50%

vs Claude Opus 4.7: ↓ 58.8%

#20

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)

vs Gemini 3.1 Pro: ↓ 33.8%

vs Claude Opus 4.7: ↓ 45.4%

#21

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)

vs Gemini 3.1 Pro: ↓ 27.2%

vs Claude Opus 4.7: ↓ 40%

#22

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)

vs Gemini 3.1 Pro: ↓ 11.9%

vs Claude Opus 4.7: ↓ 27.4%

#23

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)

vs Gemini 3.1 Pro: ↓ 11.9%

vs Claude Opus 4.7: ↓ 27.4%

#24

Claude Opus 5.5
Anthropic

$0.062500 (rounded ~ $0.06)

vs Gemini 3.1 Pro: ↓ 6.7%

vs Claude Opus 4.7: ↓ 23.1%

#25

GPT-6.1 Sol
OpenAI

$0.065000 (rounded ~ $0.07)

vs Gemini 3.1 Pro: ↓ 3%

vs Claude Opus 4.7: ↓ 20%

#26

GPT-6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)

vs Gemini 3.1 Pro: ↓ 3%

vs Claude Opus 4.7: ↓ 20%

#27

GPT-5.6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)

vs Gemini 3.1 Pro: ↓ 3%

vs Claude Opus 4.7: ↓ 20%

#28

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 21.3%

vs Claude Opus 4.7: Same

#29

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 21.3%

vs Claude Opus 4.7: Same

#30

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 21.3%

vs Claude Opus 4.7: Same

#31

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 21.3%

vs Claude Opus 4.7: Same

#32

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 25%

vs Claude Opus 4.7: ↑ 3.1%

#33

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 25%

vs Claude Opus 4.7: ↑ 3.1%

#34

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)

vs Gemini 3.1 Pro: ↑ 25%

vs Claude Opus 4.7: ↑ 3.1%

#35

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Gemini 3.1 Pro: ↑ 128.5%

vs Claude Opus 4.7: ↑ 88.5%

#36

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)

vs Gemini 3.1 Pro: ↑ 128.5%

vs Claude Opus 4.7: ↑ 88.5%

#37

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Gemini 3.1 Pro: ↑ 142.5%

vs Claude Opus 4.7: ↑ 100%

#38

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)

vs Gemini 3.1 Pro: ↑ 142.5%

vs Claude Opus 4.7: ↑ 100%

#39

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)

vs Gemini 3.1 Pro: ↑ 150%

vs Claude Opus 4.7: ↑ 106.2%

#40

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)

vs Gemini 3.1 Pro: ↑ 385.1%

vs Claude Opus 4.7: ↑ 300%

#41

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Gemini 3.1 Pro: ↑ 456.3%

vs Claude Opus 4.7: ↑ 358.8%

#42

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)

vs Gemini 3.1 Pro: ↑ 456.3%

vs Claude Opus 4.7: ↑ 358.8%

✨ 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.

Financial earnings analysis requires high precision when parsing 100-page 10-K filings. When processing 100,000-token documents, developers must weigh the need for structured extraction against the model’s ability to maintain context across dense financial tables and nuanced risk disclosures.

Gemini 3.1 Pro excels in scenarios where the workload involves multi-document synthesis or processing embedded charts within the filing. Its handling of massive context windows allows for comprehensive review of multiple years of earnings data without losing track of long-term trends or consolidated footnote details. This makes it a strong candidate for broad research tasks where connecting disparate signals across a large data corpus is the primary objective.

In contrast, Claude Opus 4.7 is often the preferred choice for tasks requiring high-fidelity logical reasoning and strict adherence to specific output schemas. When transforming unstructured text into structured JSON for an in-game NPC dialogue system or an automated financial dashboard, Claude’s ability to follow complex, multi-step instructions minimizes hallucinated figures and improves structural reliability.

For indie developers, the choice often hinges on the specific requirement of the financial pipeline. If your primary goal is summarizing vast amounts of historical data across several filings, the larger context handling of Gemini is beneficial. However, for precise extraction of quarterly revenue, EPS, and specific GAAP adjustments, Claude’s reasoning capabilities offer a higher degree of reliability. Both models perform well for this use case, but benchmarking them against your specific 10-K structure is essential before committing to a long-term production pipeline.

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.

Scale Comparison: Gemini 3.1 Pro vs Claude Opus 4.7 for 100,000-Token Financial Analysis

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Gemini 3.1 Pro

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 3.1 Pro Google 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?

Claude Opus 4.7 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 3.8 Flash Google

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

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

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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

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