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 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.

Claude Opus 4.7 vs Gemini 3.1 Pro for 50K-Token Clinical Note Calls (Scales to 100M Monthly)

Name: Gemini 3.1 Pro
Brand: Google
Price: 0.04 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Claude Opus 4.7 has been replaced by Claude Opus 5.5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: 50,000 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	Claude Opus 4.7 Anthropic	Gemini 3.1 Pro Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens	50,000	50,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.062500 (rounded ~ $0.06)Worst	$0.050000Best
Output Cost	$0.012500 (rounded ~ $0.01)Worst	$0.012000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.046875 (rounded ~ $0.05) Most Expensive	$0.039500 Best Value
Processing Time	3 minutes, 24.18 seconds Slowest	2 minutes, 12.78 seconds Fastest
Tokens per Second	260Slowest	400Fastest
Time to First Token	400ms Worst	220ms Best
Cost per 1K tokens	$0.000901Worst	$0.000760Best
Tokens per Dollar	1,109,333Worst Value	1,316,456Best 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 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.

Claude Opus 4.7 Anthropic 1000000

$0.046875 (rounded ~ $0.05)

Total Cost

⚡ 50% 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) $0.075000 (rounded ~ $0.08) Input: $0.062500 (rounded ~ $0.06)
Output: $0.012500 (rounded ~ $0.01)

Optimized Cost $0.046875 (rounded ~ $0.05) Input: $0.062500 (rounded ~ $0.06)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.028125 (rounded ~ $0.03) 37.5% 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 2,000 output tokens:

Input Cost: $0.062500 (rounded ~ $0.06)
Output Cost: $0.012500 (rounded ~ $0.01)
Total Cost: $0.046875 (rounded ~ $0.05)
Cost per 1K tokens: $0.000901
Tokens per dollar: 1,109,333 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: 3 minutes, 24.18 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-accuracytext-heavy clinical reasoning; use Gemini 3.1 Pro for high-velocity pipelines involving raw audio dictation.

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

$0.039500

Total Cost

⚡ 50% 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) $0.062000 (rounded ~ $0.06) Input: $0.050000
Output: $0.012000 (rounded ~ $0.01)

Optimized Cost $0.039500 Input: $0.050000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.022500 (rounded ~ $0.02) 36.3% 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 50,000 input tokens and 2,000 output tokens:

Input Cost: $0.050000
Output Cost: $0.012000 (rounded ~ $0.01)
Total Cost: $0.039500
Cost per 1K tokens: $0.000760
Tokens per dollar: 1,316,456 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: 2 minutes, 12.78 seconds
Latency: 220 milliseconds to first token
Base Throughput: 400 tokens/second
Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-accuracytext-heavy clinical reasoning; use Gemini 3.1 Pro for high-velocity pipelines involving raw audio dictation.

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: 50,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs Gemini 3.1 Pro
🏆	Ministral 3 (14B) Mistral AI	$0.001475 Best Value	↓ 96.9% cheaper	↓ 96.3% cheaper
🥈	Claude Haiku 5.5 Anthropic	$0.001875	↓ 96% cheaper	↓ 95.3% cheaper
🥉	GPT-6 Luna OpenAI	$0.001875	↓ 96% cheaper	↓ 95.3% cheaper
#4	GPT-5.6 Luna OpenAI	$0.001975	↓ 95.8% cheaper	↓ 95% cheaper
#5	Gemini 3.1 Flash Lite Google	$0.002469	↓ 94.7% cheaper	↓ 93.8% cheaper
#6	Nemotron 3 Super NVIDIA	$0.002473	↓ 94.7% cheaper	↓ 93.7% cheaper
#7	Gemini 3.5 Flash-Lite Google	$0.003313	↓ 92.9% cheaper	↓ 91.6% cheaper
#8	Gemini 2.5 Flash Google	$0.003313	↓ 92.9% cheaper	↓ 91.6% cheaper
#9	Mistral Large 3 Mistral AI	$0.004188	↓ 91.1% cheaper	↓ 89.4% cheaper
#10	Gemini 3.8 Flash Google	$0.007031 (rounded ~ $0.01)	↓ 85% cheaper	↓ 82.2% cheaper
#11	Gemini 3.6 Flash Google	$0.007031 (rounded ~ $0.01)	↓ 85% cheaper	↓ 82.2% cheaper
#12	GPT-5.4 mini OpenAI	$0.007406 (rounded ~ $0.01)	↓ 84.2% cheaper	↓ 81.3% cheaper
#13	Claude Haiku 4.5 Anthropic	$0.009375	↓ 80% cheaper	↓ 76.3% cheaper
#14	Gemini 3.1 Flash Google	$0.009875	↓ 78.9% cheaper	↓ 75% cheaper
#15	Mistral Large 4 Mistral AI	$0.011440 (rounded ~ $0.01)	↓ 75.6% cheaper	↓ 71% cheaper
#16	Claude Sonnet 5.5 Anthropic	$0.018125 (rounded ~ $0.02)	↓ 61.3% cheaper	↓ 54.1% cheaper
#17	Gemini 4 Argon Google	$0.018750 (rounded ~ $0.02)	↓ 60% cheaper	↓ 52.5% cheaper
#18	Claude Sonnet 5 Anthropic	$0.018750 (rounded ~ $0.02)	↓ 60% cheaper	↓ 52.5% cheaper
#19	GPT-5.3 Codex Spark OpenAI	$0.019031	↓ 59.4% cheaper	↓ 51.8% cheaper
#20	GPT-5.3 Instant OpenAI	$0.019031	↓ 59.4% cheaper	↓ 51.8% cheaper
#21	GPT-5.6 Terra OpenAI	$0.019750	↓ 57.9% cheaper	↓ 50% cheaper
#22	Gemini 2.5 Pro Google	$0.027188 (rounded ~ $0.03)	↓ 42% cheaper	↓ 31.2% cheaper
#23	Claude Sonnet 4.6 Anthropic	$0.028125 (rounded ~ $0.03)	↓ 40% cheaper	↓ 28.8% cheaper
#24	Grok 4.3 xAI	$0.031500 (rounded ~ $0.03)	↓ 32.8% cheaper	↓ 20.3% cheaper
#25	Grok 4.20 Beta xAI	$0.031500 (rounded ~ $0.03)	↓ 32.8% cheaper	↓ 20.3% cheaper
#26	Claude Opus 5.5 Anthropic	$0.036250 (rounded ~ $0.04)	↓ 22.7% cheaper	↓ 8.2% cheaper
#27	GPT-6.1 Sol OpenAI	$0.037500 (rounded ~ $0.04)	↓ 20% cheaper	↓ 5.1% cheaper
#28	GPT-6 Sol OpenAI	$0.037500 (rounded ~ $0.04)	↓ 20% cheaper	↓ 5.1% cheaper
#29	GPT-5.6 Sol OpenAI	$0.037500 (rounded ~ $0.04)	↓ 20% cheaper	↓ 5.1% cheaper
#30	Gemini 3.1 Pro Google	$0.039500	↓ 15.7% cheaper	Same price
#31	Claude Opus 5 Anthropic	$0.046875 (rounded ~ $0.05)	Same price	↑ 18.7% more
#32	Claude Opus 4.8 Anthropic	$0.046875 (rounded ~ $0.05)	Same price	↑ 18.7% more
#33	Claude Opus 4.6 Anthropic	$0.046875 (rounded ~ $0.05)	Same price	↑ 18.7% more
#34	GPT-5.4 OpenAI	$0.049375	↑ 5.3% more	↑ 25% more
#35	GPT-5.4 Thinking OpenAI	$0.049375	↑ 5.3% more	↑ 25% more
#36	GPT-5.5 Instant OpenAI	$0.049375	↑ 5.3% more	↑ 25% more
#37	Claude Fable 5.1 Anthropic	$0.089063	↑ 90% more	↑ 125.5% more
#38	Claude Mythos 5.1 Anthropic	$0.089063	↑ 90% more	↑ 125.5% more
#39	Claude Fable 5 Anthropic	$0.093750 (rounded ~ $0.09)	↑ 100% more	↑ 137.3% more
#40	Claude Mythos 5 Anthropic	$0.093750 (rounded ~ $0.09)	↑ 100% more	↑ 137.3% more
#41	GPT-5.5 OpenAI	$0.098750 (rounded ~ $0.10)	↑ 110.7% more	↑ 150% more
#42	GPT-6 Astra OpenAI	$0.187500 (rounded ~ $0.19)	↑ 300% more	↑ 374.7% more
#43	GPT-5.2 Pro OpenAI	$0.228375 (rounded ~ $0.23)	↑ 387.2% more	↑ 478.2% more
#44	GPT-5.2 Pro OpenAI	$0.228375 (rounded ~ $0.23)	↑ 387.2% more	↑ 478.2% more

🏆

Ministral 3 (14B)
Mistral AI

$0.001475

vs Claude Opus 4.7: ↓ 96.9%

vs Gemini 3.1 Pro: ↓ 96.3%

🥈

Claude Haiku 5.5
Anthropic

$0.001875

vs Claude Opus 4.7: ↓ 96%

vs Gemini 3.1 Pro: ↓ 95.3%

🥉

GPT-6 Luna
OpenAI

$0.001875

vs Claude Opus 4.7: ↓ 96%

vs Gemini 3.1 Pro: ↓ 95.3%

GPT-5.6 Luna
OpenAI

$0.001975

vs Claude Opus 4.7: ↓ 95.8%

vs Gemini 3.1 Pro: ↓ 95%

Gemini 3.1 Flash Lite
Google

$0.002469

vs Claude Opus 4.7: ↓ 94.7%

vs Gemini 3.1 Pro: ↓ 93.8%

Nemotron 3 Super
NVIDIA

$0.002473

vs Claude Opus 4.7: ↓ 94.7%

vs Gemini 3.1 Pro: ↓ 93.7%

Gemini 3.5 Flash-Lite
Google

$0.003313

vs Claude Opus 4.7: ↓ 92.9%

vs Gemini 3.1 Pro: ↓ 91.6%

Gemini 2.5 Flash
Google

$0.003313

vs Claude Opus 4.7: ↓ 92.9%

vs Gemini 3.1 Pro: ↓ 91.6%

Mistral Large 3
Mistral AI

$0.004188

vs Claude Opus 4.7: ↓ 91.1%

vs Gemini 3.1 Pro: ↓ 89.4%

#10

Gemini 3.8 Flash
Google

$0.007031 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 85%

vs Gemini 3.1 Pro: ↓ 82.2%

#11

Gemini 3.6 Flash
Google

$0.007031 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 85%

vs Gemini 3.1 Pro: ↓ 82.2%

#12

GPT-5.4 mini
OpenAI

$0.007406 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 84.2%

vs Gemini 3.1 Pro: ↓ 81.3%

#13

Claude Haiku 4.5
Anthropic

$0.009375

vs Claude Opus 4.7: ↓ 80%

vs Gemini 3.1 Pro: ↓ 76.3%

#14

Gemini 3.1 Flash
Google

$0.009875

vs Claude Opus 4.7: ↓ 78.9%

vs Gemini 3.1 Pro: ↓ 75%

#15

Mistral Large 4
Mistral AI

$0.011440 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 75.6%

vs Gemini 3.1 Pro: ↓ 71%

#16

Claude Sonnet 5.5
Anthropic

$0.018125 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 61.3%

vs Gemini 3.1 Pro: ↓ 54.1%

#17

Gemini 4 Argon
Google

$0.018750 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 52.5%

#18

Claude Sonnet 5
Anthropic

$0.018750 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 60%

vs Gemini 3.1 Pro: ↓ 52.5%

#19

GPT-5.3 Codex Spark
OpenAI

$0.019031

vs Claude Opus 4.7: ↓ 59.4%

vs Gemini 3.1 Pro: ↓ 51.8%

#20

GPT-5.3 Instant
OpenAI

$0.019031

vs Claude Opus 4.7: ↓ 59.4%

vs Gemini 3.1 Pro: ↓ 51.8%

#21

GPT-5.6 Terra
OpenAI

$0.019750

vs Claude Opus 4.7: ↓ 57.9%

vs Gemini 3.1 Pro: ↓ 50%

#22

Gemini 2.5 Pro
Google

$0.027188 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 42%

vs Gemini 3.1 Pro: ↓ 31.2%

#23

Claude Sonnet 4.6
Anthropic

$0.028125 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 40%

vs Gemini 3.1 Pro: ↓ 28.8%

#24

Grok 4.3
xAI

$0.031500 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 32.8%

vs Gemini 3.1 Pro: ↓ 20.3%

#25

Grok 4.20 Beta
xAI

$0.031500 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 32.8%

vs Gemini 3.1 Pro: ↓ 20.3%

#26

Claude Opus 5.5
Anthropic

$0.036250 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 22.7%

vs Gemini 3.1 Pro: ↓ 8.2%

#27

GPT-6.1 Sol
OpenAI

$0.037500 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 5.1%

#28

GPT-6 Sol
OpenAI

$0.037500 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 5.1%

#29

GPT-5.6 Sol
OpenAI

$0.037500 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 20%

vs Gemini 3.1 Pro: ↓ 5.1%

#30

Gemini 3.1 Pro
Google

$0.039500

vs Claude Opus 4.7: ↓ 15.7%

vs Gemini 3.1 Pro: Same

#31

Claude Opus 5
Anthropic

$0.046875 (rounded ~ $0.05)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 18.7%

#32

Claude Opus 4.8
Anthropic

$0.046875 (rounded ~ $0.05)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 18.7%

#33

Claude Opus 4.6
Anthropic

$0.046875 (rounded ~ $0.05)

vs Claude Opus 4.7: Same

vs Gemini 3.1 Pro: ↑ 18.7%

#34

GPT-5.4
OpenAI

$0.049375

vs Claude Opus 4.7: ↑ 5.3%

vs Gemini 3.1 Pro: ↑ 25%

#35

GPT-5.4 Thinking
OpenAI

$0.049375

vs Claude Opus 4.7: ↑ 5.3%

vs Gemini 3.1 Pro: ↑ 25%

#36

GPT-5.5 Instant
OpenAI

$0.049375

vs Claude Opus 4.7: ↑ 5.3%

vs Gemini 3.1 Pro: ↑ 25%

#37

Claude Fable 5.1
Anthropic

$0.089063

vs Claude Opus 4.7: ↑ 90%

vs Gemini 3.1 Pro: ↑ 125.5%

#38

Claude Mythos 5.1
Anthropic

$0.089063

vs Claude Opus 4.7: ↑ 90%

vs Gemini 3.1 Pro: ↑ 125.5%

#39

Claude Fable 5
Anthropic

$0.093750 (rounded ~ $0.09)

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 137.3%

#40

Claude Mythos 5
Anthropic

$0.093750 (rounded ~ $0.09)

vs Claude Opus 4.7: ↑ 100%

vs Gemini 3.1 Pro: ↑ 137.3%

#41

GPT-5.5
OpenAI

$0.098750 (rounded ~ $0.10)

vs Claude Opus 4.7: ↑ 110.7%

vs Gemini 3.1 Pro: ↑ 150%

#42

GPT-6 Astra
OpenAI

$0.187500 (rounded ~ $0.19)

vs Claude Opus 4.7: ↑ 300%

vs Gemini 3.1 Pro: ↑ 374.7%

#43

GPT-5.2 Pro
OpenAI

$0.228375 (rounded ~ $0.23)

vs Claude Opus 4.7: ↑ 387.2%

vs Gemini 3.1 Pro: ↑ 478.2%

#44

GPT-5.2 Pro
OpenAI

$0.228375 (rounded ~ $0.23)

vs Claude Opus 4.7: ↑ 387.2%

vs Gemini 3.1 Pro: ↑ 478.2%

✨ 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.

For a localization manager overseeing clinical note generation across 12 languages, the primary challenge is balancing nuanced medical terminology with consistent structural formatting. When processing 50K-token clinical notes at a scale of 100 million tokens monthly, the choice between these models often comes down to reasoning style and multimodal handling.

Claude Opus 4.7 is a powerhouse for structured, highly nuanced clinical reasoning. It excels at maintaining tone and idiomatic accuracy when translating complex medical narratives into secondary languages. Its strong adherence to instructions ensures that sensitive patient data remains formatted correctly, which is critical for compliance in a global healthcare environment. Localization teams often prefer Opus for its ability to handle long-form, complex documentation without losing the thread of the clinical encounter.

Gemini 3.1 Pro, conversely, offers distinct advantages in handling multimodal inputs, such as audio-heavy clinical dictations. If your notes are derived from raw audio transcription, Gemini’s native ability to process audio data can reduce the need for upstream transcription pipelines, streamlining the localization workflow. Its speed is also notable for high-volume pipelines. However, when comparing the two, consider that Opus often provides more stable, predictable reasoning for highly technical, specialized medical content, whereas Gemini offers significant efficiency for high-velocity, multimodal environments. Evaluate your team’s specific need for audio-input processing versus text-heavy clinical reasoning to decide which model architecture best supports your global documentation strategy.

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 for 50K-Token Clinical Note Calls (Scales to 100M Monthly)

🔄 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

Claude Haiku 5.5 Anthropic

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Nemotron 3 Super NVIDIA

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

Claude Sonnet 5.5 Anthropic

Gemini 4 Argon Google

Claude Sonnet 5 Anthropic

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

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 5 Anthropic

Claude Opus 4.8 Anthropic

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Claude Fable 5 Anthropic

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GPT-5.5 OpenAI

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