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. Anthropic offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 20% 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.

Claude Opus 4.7 vs Gemini 3.1 Pro: 500-Token Product Description Generation

Name: Gemini 3.1 Pro
Brand: Google
Price: 0.01 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Claude Opus 4.7 has been replaced by Claude Opus 5.5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

Claude Opus 4.7 vs Gemini 3.1 Pro

Complete Comparison: 500 input tokens × 800 output tokens

⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

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

Comparison Criteria	Claude Opus 4.7 Anthropic	Gemini 3.1 Pro Google
Calculation Results (Current Inputs) (20% cached)
Input Tokens	500	500
Output Tokens	800	800
Cost Breakdown
Input Cost	$0.000625Worst	$0.000500Best
Output Cost	$0.005000 (rounded ~ $0.01)Worst	$0.004800Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.005513 (rounded ~ $0.01) Most Expensive	$0.005210 (rounded ~ $0.01) Best Value
Processing Time	5.53 seconds Slowest	3.66 seconds Fastest
Tokens per Second	260Slowest	400Fastest
Time to First Token	400ms Worst	220ms Best
Cost per 1K tokens	$0.004240Worst	$0.004008Best
Tokens per Dollar	235,828Worst Value	249,520Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.250000Worst	$1.000000Best
Output Cost / 1M (Base)	$6.250000Worst	$6.000000Best
Input Cost / 1M (Optimized)	$0.625000 (rounded ~ $0.63)Worst Optimizations: 50.0% batch	$0.500000Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$3.125000 (rounded ~ $3.13)Worst Optimizations: 50.0% batch	$3.000000Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not Supported	✓ Supported
Caching Support 20	✓ 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.

Claude Opus 4.7 Anthropic 1000000

$0.005513 (rounded ~ $0.01)

Total Cost

⚡ 20% Cached 📊 Batch API

👁️

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) $0.005625 (rounded ~ $0.01) Input: $0.000625
Output: $0.005000 (rounded ~ $0.01)

Optimized Cost $0.005513 (rounded ~ $0.01) Input: $0.000625
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.000113 2.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

Input Cost: $0.000625
Output Cost: $0.005000 (rounded ~ $0.01)
Total Cost: $0.005513 (rounded ~ $0.01)
Cost per 1K tokens: $0.004240
Tokens per dollar: 235,828 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: 5.53 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-complexity product descriptions where brand voice and strict instruction adherence are critical.

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 →

Gemini 3.1 Pro Google 1000000

$0.005210 (rounded ~ $0.01)

Total Cost

⚡ 20% Cached 📊 Batch API

👁️

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) $0.005300 (rounded ~ $0.01) Input: $0.000500
Output: $0.004800

Optimized Cost $0.005210 (rounded ~ $0.01) Input: $0.000500
Output: $0.004800
Unit: $0.000000
Fees: $0.000000

Total Savings $0.000090 1.7% 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 500 input tokens and 800 output tokens:

Input Cost: $0.000500
Output Cost: $0.004800
Total Cost: $0.005210 (rounded ~ $0.01)
Cost per 1K tokens: $0.004008
Tokens per dollar: 249,520 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: 3.66 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-complexity product descriptions where brand voice and strict instruction adherence are critical.

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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7

📋 Active Input Parameters

Input Tokens: 500

Output Tokens: 800

Batch API: Enabled (50% discount)

Cached Tokens: 20%

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs Gemini 3.1 Pro
🏆	Ministral 3 (14B) Mistral AI	$0.000061 Best Value	↓ 98.9% cheaper	↓ 98.8% cheaper
🥈	Voxtral Small 24B Mistral AI	$0.000070	↓ 98.7% cheaper	↓ 98.7% cheaper
🥉	Nemotron 3 Super NVIDIA	$0.000195	↓ 96.5% cheaper	↓ 96.3% cheaper
#4	Claude Haiku 5.5 Anthropic	$0.000221	↓ 96% cheaper	↓ 95.8% cheaper
#5	GPT-6 Luna OpenAI	$0.000221	↓ 96% cheaper	↓ 95.8% cheaper
#6	GPT-5.6 Luna OpenAI	$0.000261	↓ 95.3% cheaper	↓ 95% cheaper
#7	Gemini 3.1 Flash Lite Google	$0.000326	↓ 94.1% cheaper	↓ 93.8% cheaper
#8	Mistral Large 3 Mistral AI	$0.000351	↓ 93.6% cheaper	↓ 93.3% cheaper
#9	Gemini 3.5 Flash-Lite Google	$0.000531	↓ 90.4% cheaper	↓ 89.8% cheaper
#10	Gemini 2.5 Flash Google	$0.000531	↓ 90.4% cheaper	↓ 89.8% cheaper
#11	Gemini 3.8 Flash Google	$0.000827	↓ 85% cheaper	↓ 84.1% cheaper
#12	Gemini 3.6 Flash Google	$0.000827	↓ 85% cheaper	↓ 84.1% cheaper
#13	Mistral Large 4 Mistral AI	$0.000975	↓ 82.3% cheaper	↓ 81.3% cheaper
#14	GPT-5.4 mini OpenAI	$0.000977	↓ 82.3% cheaper	↓ 81.3% cheaper
#15	Claude Haiku 4.5 Anthropic	$0.001103	↓ 80% cheaper	↓ 78.8% cheaper
#16	Gemini 3.1 Flash Google	$0.001303	↓ 76.4% cheaper	↓ 75% cheaper
#17	Grok 4.3 xAI	$0.002010	↓ 63.5% cheaper	↓ 61.4% cheaper
#18	Grok 4.20 Beta xAI	$0.002010	↓ 63.5% cheaper	↓ 61.4% cheaper
#19	Claude Sonnet 5.5 Anthropic	$0.002203	↓ 60% cheaper	↓ 57.7% cheaper
#20	Claude Sonnet 5 Anthropic	$0.002205	↓ 60% cheaper	↓ 57.7% cheaper
#21	Gemini 4 Argon Google	$0.002205	↓ 60% cheaper	↓ 57.7% cheaper
#22	GPT-5.6 Terra OpenAI	$0.002605	↓ 52.7% cheaper	↓ 50% cheaper
#23	GPT-5.3 Codex Spark OpenAI	$0.002979	↓ 46% cheaper	↓ 42.8% cheaper
#24	GPT-5.3 Instant OpenAI	$0.002979	↓ 46% cheaper	↓ 42.8% cheaper
#25	Claude Sonnet 4.6 Anthropic	$0.003308	↓ 40% cheaper	↓ 36.5% cheaper
#26	Gemini 2.5 Pro Google	$0.004256	↓ 22.8% cheaper	↓ 18.3% cheaper
#27	Claude Opus 5.5 Anthropic	$0.004405	↓ 20.1% cheaper	↓ 15.5% cheaper
#28	GPT-6.1 Sol OpenAI	$0.004410	↓ 20% cheaper	↓ 15.4% cheaper
#29	GPT-6 Sol OpenAI	$0.004410	↓ 20% cheaper	↓ 15.4% cheaper
#30	GPT-5.6 Sol OpenAI	$0.004410	↓ 20% cheaper	↓ 15.4% cheaper
#31	Gemini 3.1 Pro Google	$0.005210 (rounded ~ $0.01)	↓ 5.5% cheaper	Same price
#32	Claude Opus 5 Anthropic	$0.005513 (rounded ~ $0.01)	Same price	↑ 5.8% more
#33	Claude Opus 4.8 Anthropic	$0.005513 (rounded ~ $0.01)	Same price	↑ 5.8% more
#34	Claude Opus 4.6 Anthropic	$0.005513 (rounded ~ $0.01)	Same price	↑ 5.8% more
#35	GPT-5.4 OpenAI	$0.006513 (rounded ~ $0.01)	↑ 18.1% more	↑ 25% more
#36	GPT-5.4 Thinking OpenAI	$0.006513 (rounded ~ $0.01)	↑ 18.1% more	↑ 25% more
#37	GPT-5.5 Instant OpenAI	$0.006513 (rounded ~ $0.01)	↑ 18.1% more	↑ 25% more
#38	Claude Fable 5.1 Anthropic	$0.011006 (rounded ~ $0.01)	↑ 99.7% more	↑ 111.3% more
#39	Claude Mythos 5.1 Anthropic	$0.011006 (rounded ~ $0.01)	↑ 99.7% more	↑ 111.3% more
#40	Claude Fable 5 Anthropic	$0.011025 (rounded ~ $0.01)	↑ 100% more	↑ 111.6% more
#41	Claude Mythos 5 Anthropic	$0.011025 (rounded ~ $0.01)	↑ 100% more	↑ 111.6% more
#42	GPT-5.5 OpenAI	$0.013025 (rounded ~ $0.01)	↑ 136.3% more	↑ 150% more
#43	GPT-6 Astra OpenAI	$0.022050 (rounded ~ $0.02)	↑ 300% more	↑ 323.2% more
#44	GPT-5.2 Pro OpenAI	$0.035753 (rounded ~ $0.04)	↑ 548.6% more	↑ 586.2% more
#45	GPT-5.2 Pro OpenAI	$0.035753 (rounded ~ $0.04)	↑ 548.6% more	↑ 586.2% more

🏆

Ministral 3 (14B)
Mistral AI

$0.000061

vs Claude Opus 4.7: ↓ 98.9%

vs Gemini 3.1 Pro: ↓ 98.8%

🥈

Voxtral Small 24B
Mistral AI

$0.000070

vs Claude Opus 4.7: ↓ 98.7%

vs Gemini 3.1 Pro: ↓ 98.7%

🥉

Nemotron 3 Super
NVIDIA

$0.000195

vs Claude Opus 4.7: ↓ 96.5%

vs Gemini 3.1 Pro: ↓ 96.3%

Claude Haiku 5.5
Anthropic

$0.000221

vs Claude Opus 4.7: ↓ 96%

vs Gemini 3.1 Pro: ↓ 95.8%

GPT-6 Luna
OpenAI

$0.000221

vs Claude Opus 4.7: ↓ 96%

vs Gemini 3.1 Pro: ↓ 95.8%

GPT-5.6 Luna
OpenAI

$0.000261

vs Claude Opus 4.7: ↓ 95.3%

vs Gemini 3.1 Pro: ↓ 95%

Gemini 3.1 Flash Lite
Google

$0.000326

vs Claude Opus 4.7: ↓ 94.1%

vs Gemini 3.1 Pro: ↓ 93.8%

Mistral Large 3
Mistral AI

$0.000351

vs Claude Opus 4.7: ↓ 93.6%

vs Gemini 3.1 Pro: ↓ 93.3%

Gemini 3.5 Flash-Lite
Google

$0.000531

vs Claude Opus 4.7: ↓ 90.4%

vs Gemini 3.1 Pro: ↓ 89.8%

#10

Gemini 2.5 Flash
Google

$0.000531

vs Claude Opus 4.7: ↓ 90.4%

vs Gemini 3.1 Pro: ↓ 89.8%

#11

Gemini 3.8 Flash
Google

$0.000827

vs Claude Opus 4.7: ↓ 85%

vs Gemini 3.1 Pro: ↓ 84.1%

#12

Gemini 3.6 Flash
Google

$0.000827

vs Claude Opus 4.7: ↓ 85%

vs Gemini 3.1 Pro: ↓ 84.1%

#13

Mistral Large 4
Mistral AI

$0.000975

vs Claude Opus 4.7: ↓ 82.3%

vs Gemini 3.1 Pro: ↓ 81.3%

#14

GPT-5.4 mini
OpenAI

$0.000977

vs Claude Opus 4.7: ↓ 82.3%

vs Gemini 3.1 Pro: ↓ 81.3%

#15

Claude Haiku 4.5
Anthropic

$0.001103

vs Claude Opus 4.7: ↓ 80%

vs Gemini 3.1 Pro: ↓ 78.8%

#16

Gemini 3.1 Flash
Google

$0.001303

vs Claude Opus 4.7: ↓ 76.4%

vs Gemini 3.1 Pro: ↓ 75%

#17

Grok 4.3
xAI

$0.002010

vs Claude Opus 4.7: ↓ 63.5%

vs Gemini 3.1 Pro: ↓ 61.4%

#18

Grok 4.20 Beta
xAI

$0.002010

vs Claude Opus 4.7: ↓ 63.5%

vs Gemini 3.1 Pro: ↓ 61.4%

#19

Claude Sonnet 5.5
Anthropic

$0.002203

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 57.7%

#20

Claude Sonnet 5
Anthropic

$0.002205

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 57.7%

#21

Gemini 4 Argon
Google

$0.002205

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 57.7%

#22

GPT-5.6 Terra
OpenAI

$0.002605

vs Claude Opus 4.7: ↓ 52.7%

vs Gemini 3.1 Pro: ↓ 50%

#23

GPT-5.3 Codex Spark
OpenAI

$0.002979

vs Claude Opus 4.7: ↓ 46%

vs Gemini 3.1 Pro: ↓ 42.8%

#24

GPT-5.3 Instant
OpenAI

$0.002979

vs Claude Opus 4.7: ↓ 46%

vs Gemini 3.1 Pro: ↓ 42.8%

#25

Claude Sonnet 4.6
Anthropic

$0.003308

vs Claude Opus 4.7: ↓ 40%

vs Gemini 3.1 Pro: ↓ 36.5%

#26

Gemini 2.5 Pro
Google

$0.004256

vs Claude Opus 4.7: ↓ 22.8%

vs Gemini 3.1 Pro: ↓ 18.3%

#27

Claude Opus 5.5
Anthropic

$0.004405

vs Claude Opus 4.7: ↓ 20.1%

vs Gemini 3.1 Pro: ↓ 15.5%

#28

GPT-6.1 Sol
OpenAI

$0.004410

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 15.4%

#29

GPT-6 Sol
OpenAI

$0.004410

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 15.4%

#30

GPT-5.6 Sol
OpenAI

$0.004410

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 15.4%

#31

Gemini 3.1 Pro
Google

$0.005210 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 5.5%

vs Gemini 3.1 Pro: Same

#32

Claude Opus 5
Anthropic

$0.005513 (rounded ~ $0.01)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 5.8%

#33

Claude Opus 4.8
Anthropic

$0.005513 (rounded ~ $0.01)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 5.8%

#34

Claude Opus 4.6
Anthropic

$0.005513 (rounded ~ $0.01)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 5.8%

#35

GPT-5.4
OpenAI

$0.006513 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 18.1%

vs Gemini 3.1 Pro: ↑ 25%

#36

GPT-5.4 Thinking
OpenAI

$0.006513 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 18.1%

vs Gemini 3.1 Pro: ↑ 25%

#37

GPT-5.5 Instant
OpenAI

$0.006513 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 18.1%

vs Gemini 3.1 Pro: ↑ 25%

#38

Claude Fable 5.1
Anthropic

$0.011006 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 99.7%

vs Gemini 3.1 Pro: ↑ 111.3%

#39

Claude Mythos 5.1
Anthropic

$0.011006 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 99.7%

vs Gemini 3.1 Pro: ↑ 111.3%

#40

Claude Fable 5
Anthropic

$0.011025 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 111.6%

#41

Claude Mythos 5
Anthropic

$0.011025 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 111.6%

#42

GPT-5.5
OpenAI

$0.013025 (rounded ~ $0.01)

vs Claude Opus 4.7: ↑ 136.3%

vs Gemini 3.1 Pro: ↑ 150%

#43

GPT-6 Astra
OpenAI

$0.022050 (rounded ~ $0.02)

vs Claude Opus 4.7: ↑ 300%

vs Gemini 3.1 Pro: ↑ 323.2%

#44

GPT-5.2 Pro
OpenAI

$0.035753 (rounded ~ $0.04)

vs Claude Opus 4.7: ↑ 548.6%

vs Gemini 3.1 Pro: ↑ 586.2%

#45

GPT-5.2 Pro
OpenAI

$0.035753 (rounded ~ $0.04)

vs Claude Opus 4.7: ↑ 548.6%

vs Gemini 3.1 Pro: ↑ 586.2%

✨ 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.

High-End Reasoning for Dynamic Content

For Voice AI engineers building dynamic IVR and voice agent systems, the quality of generated product descriptions is paramount. When your voice agent reads product details to a customer, the generated text must be natural, concise, and accurate. Both Claude Opus 4.7 and Gemini 3.1 Pro operate at the frontier of reasoning, making them ideal for complex, multi-step instructions where you need to synthesize varied attributes into a single, cohesive voice-ready output.

Claude Opus 4.7 excels in agentic workflows and complex instruction following. If your pipeline involves generating descriptions that require strict adherence to brand voice, legal disclaimers, or complex technical specifications, Opus 4.7 provides a level of consistency that reduces the need for downstream QA. Its ability to maintain nuanced instruction sets across thousands of items ensures that your Voice AI maintains its persona.

Gemini 3.1 Pro offers a compelling alternative for pipelines that require deep multimodal integration. If your content generation pipeline includes analyzing product images or technical PDFs before generating the description, Gemini 3.1 Pro’s native multimodality can simplify your architecture. While both models are excellent for high-quality, long-form content, the decision often comes down to your specific orchestration needs. Choose Opus 4.7 when consistency and strict instruction adherence are your primary constraints, or leverage Gemini 3.1 Pro if your descriptions are derived from multimodal sources that require deep semantic understanding of both text and visual assets.

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.

Claude Opus 4.7 vs Gemini 3.1 Pro: 500-Token Product Description Generation

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Opus 4.7

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

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?

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?

✨ Market Recommendations AI Model Registry

Ministral 3 (14B) Mistral AI

Voxtral Small 24B Mistral AI

Nemotron 3 Super NVIDIA

Claude Haiku 5.5 Anthropic

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Mistral Large 3 Mistral AI

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Gemini 3.8 Flash Google

Gemini 3.6 Flash Google

Mistral Large 4 Mistral AI

GPT-5.4 mini OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Grok 4.3 xAI

Grok 4.20 Beta xAI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

GPT-5.6 Terra OpenAI

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 4.6 Anthropic

Gemini 2.5 Pro Google

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 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

High-End Reasoning for Dynamic Content

Frequently Asked Questions

Related model pricing

Ministral 3 (14B)
Mistral AI

Voxtral Small 24B
Mistral AI

Nemotron 3 Super
NVIDIA

Claude Haiku 5.5
Anthropic

GPT-6 Luna
OpenAI

GPT-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Mistral Large 3
Mistral AI

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Gemini 3.8 Flash
Google

Gemini 3.6 Flash
Google

Mistral Large 4
Mistral AI

GPT-5.4 mini
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Grok 4.3
xAI

Grok 4.20 Beta
xAI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
Google

GPT-5.6 Terra
OpenAI

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Claude Sonnet 4.6
Anthropic

Gemini 2.5 Pro
Google

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 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