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.

Translation Cost Optimization: 100K-Token Per-Request Translation for Gemini 3.1 Flash vs GPT-5.4 mini

Name: GPT-5.4 mini
Brand: OpenAI
Price: 0.12 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Gemini 3.1 Flash vs GPT-5.4 mini

Complete Comparison: 100,000 input tokens × 100,000 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 Flash Google	GPT-5.4 mini OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	100,000	100,000
Cost Breakdown
Input Cost	$0.025000 (rounded ~ $0.03)Worst	$0.018750 (rounded ~ $0.02)Best
Output Cost	$0.150000Worst	$0.112500 (rounded ~ $0.11)Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.163750 (rounded ~ $0.16) Most Expensive	$0.122813 (rounded ~ $0.12) Best Value
Processing Time	4 minutes, 17.68 seconds Fastest	6 minutes, 52.18 seconds Slowest
Tokens per Second	800Fastest	500Slowest
Time to First Token	100ms Best	180ms Worst
Cost per 1K tokens	$0.000819Worst	$0.000614Best
Tokens per Dollar	1,221,374Worst Value	1,628,499Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.250000Worst	$0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base)	$1.500000Worst	$1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized)	$0.125000 (rounded ~ $0.13)Worst Optimizations: 50.0% batch	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$0.750000Worst Optimizations: 50.0% batch	$0.562500 (rounded ~ $0.56)Best 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 Flash Google 1000000

$0.163750 (rounded ~ $0.16)

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) $0.175000 (rounded ~ $0.18) Input: $0.025000 (rounded ~ $0.03)
Output: $0.150000

Optimized Cost $0.163750 (rounded ~ $0.16) Input: $0.025000 (rounded ~ $0.03)
Output: $0.150000
Unit: $0.000000
Fees: $0.000000

Total Savings $0.011250 (rounded ~ $0.01) 6.4% 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 100,000 output tokens:

Input Cost: $0.025000 (rounded ~ $0.03)
Output Cost: $0.150000
Total Cost: $0.163750 (rounded ~ $0.16)
Cost per 1K tokens: $0.000819
Tokens per dollar: 1,221,374 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

Processing Time: 4 minutes, 17.68 seconds
Latency: 100 milliseconds to first token
Base Throughput: 800 tokens/second
Effective Throughput: 777 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput translation pipelines requiring consistent tone and structured data output.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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 →

GPT-5.4 mini OpenAI

$0.122813 (rounded ~ $0.12)

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) $0.131250 (rounded ~ $0.13) Input: $0.018750 (rounded ~ $0.02)
Output: $0.112500 (rounded ~ $0.11)

Optimized Cost $0.122813 (rounded ~ $0.12) Input: $0.018750 (rounded ~ $0.02)
Output: $0.112500 (rounded ~ $0.11)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.008438 (rounded ~ $0.01) 6.4% 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 100,000 output tokens:

Input Cost: $0.018750 (rounded ~ $0.02)
Output Cost: $0.112500 (rounded ~ $0.11)
Total Cost: $0.122813 (rounded ~ $0.12)
Cost per 1K tokens: $0.000614
Tokens per dollar: 1,628,499 tokens
Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

Processing Time: 6 minutes, 52.18 seconds
Latency: 180 milliseconds to first token
Base Throughput: 500 tokens/second
Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput translation pipelines requiring consistent tone and structured data output.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. 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 Flash

📋 Active Input Parameters

Input Tokens: 100,000

Output Tokens: 100,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Rank	AI Model & Provider	Total Cost	vs Gemini 3.1 Flash	vs GPT-5.4 mini
🏆	Nemotron 3 Super NVIDIA	$0.024625 (rounded ~ $0.02) Best Value	↓ 85% cheaper	↓ 79.9% cheaper
🥈	Claude Haiku 5.5 Anthropic	$0.027750 (rounded ~ $0.03)	↓ 83.1% cheaper	↓ 77.4% cheaper
🥉	GPT-6 Luna OpenAI	$0.027750 (rounded ~ $0.03)	↓ 83.1% cheaper	↓ 77.4% cheaper
#4	GPT-5.6 Luna OpenAI	$0.032750 (rounded ~ $0.03)	↓ 80% cheaper	↓ 73.3% cheaper
#5	Gemini 3.1 Flash Lite Google	$0.040938	↓ 75% cheaper	↓ 66.7% cheaper
#6	Mistral Large 3 Mistral AI	$0.044375 (rounded ~ $0.04)	↓ 72.9% cheaper	↓ 63.9% cheaper
#7	Gemini 3.5 Flash-Lite Google	$0.066625 (rounded ~ $0.07)	↓ 59.3% cheaper	↓ 45.8% cheaper
#8	Gemini 2.5 Flash Google	$0.066625 (rounded ~ $0.07)	↓ 59.3% cheaper	↓ 45.8% cheaper
#9	Gemini 3.8 Flash Google	$0.104063 (rounded ~ $0.10)	↓ 36.5% cheaper	↓ 15.3% cheaper
#10	Gemini 3.6 Flash Google	$0.104063 (rounded ~ $0.10)	↓ 36.5% cheaper	↓ 15.3% cheaper
#11	GPT-5.4 mini OpenAI	$0.122813 (rounded ~ $0.12)	↓ 25% cheaper	Same price
#12	Mistral Large 4 Mistral AI	$0.123200 (rounded ~ $0.12)	↓ 24.8% cheaper	↑ 0.3% more
#13	Claude Haiku 4.5 Anthropic	$0.138750 (rounded ~ $0.14)	↓ 15.3% cheaper	↑ 13% more
#14	Grok 4.3 xAI	$0.255000 (rounded ~ $0.26)	↑ 55.7% more	↑ 107.6% more
#15	Grok 4.20 Beta xAI	$0.255000 (rounded ~ $0.26)	↑ 55.7% more	↑ 107.6% more
#16	Claude Sonnet 5.5 Anthropic	$0.276250 (rounded ~ $0.28)	↑ 68.7% more	↑ 124.9% more
#17	Claude Sonnet 5 Anthropic	$0.277500 (rounded ~ $0.28)	↑ 69.5% more	↑ 126% more
#18	Gemini 4 Argon Google	$0.277500 (rounded ~ $0.28)	↑ 69.5% more	↑ 126% more
#19	GPT-5.6 Terra OpenAI	$0.327500 (rounded ~ $0.33)	↑ 100% more	↑ 166.7% more
#20	GPT-5.3 Codex Spark OpenAI	$0.374063 (rounded ~ $0.37)	↑ 128.4% more	↑ 204.6% more
#21	Claude Sonnet 4.6 Anthropic	$0.416250 (rounded ~ $0.42)	↑ 154.2% more	↑ 238.9% more
#22	Gemini 2.5 Pro Google	$0.534375 (rounded ~ $0.53)	↑ 226.3% more	↑ 335.1% more
#23	Claude Opus 5.5 Anthropic	$0.552500 (rounded ~ $0.55)	↑ 237.4% more	↑ 349.9% more
#24	GPT-6.1 Sol OpenAI	$0.555000 (rounded ~ $0.56)	↑ 238.9% more	↑ 351.9% more
#25	GPT-6 Sol OpenAI	$0.555000 (rounded ~ $0.56)	↑ 238.9% more	↑ 351.9% more
#26	GPT-5.6 Sol OpenAI	$0.555000 (rounded ~ $0.56)	↑ 238.9% more	↑ 351.9% more
#27	Gemini 3.1 Pro Google	$0.655000 (rounded ~ $0.66)	↑ 300% more	↑ 433.3% more
#28	Claude Opus 4.7 Anthropic	$0.693750 (rounded ~ $0.69)	↑ 323.7% more	↑ 464.9% more
#29	Claude Opus 5 Anthropic	$0.693750 (rounded ~ $0.69)	↑ 323.7% more	↑ 464.9% more
#30	Claude Opus 4.8 Anthropic	$0.693750 (rounded ~ $0.69)	↑ 323.7% more	↑ 464.9% more
#31	Claude Opus 4.6 Anthropic	$0.693750 (rounded ~ $0.69)	↑ 323.7% more	↑ 464.9% more
#32	GPT-5.4 OpenAI	$0.818750 (rounded ~ $0.82)	↑ 400% more	↑ 566.7% more
#33	GPT-5.4 Thinking OpenAI	$0.818750 (rounded ~ $0.82)	↑ 400% more	↑ 566.7% more
#34	GPT-5.5 Instant OpenAI	$0.818750 (rounded ~ $0.82)	↑ 400% more	↑ 566.7% more
#35	Claude Fable 5.1 Anthropic	$1.378125 (rounded ~ $1.38)	↑ 741.6% more	↑ 1022.1% more
#36	Claude Mythos 5.1 Anthropic	$1.378125 (rounded ~ $1.38)	↑ 741.6% more	↑ 1022.1% more
#37	Claude Fable 5 Anthropic	$1.387500 (rounded ~ $1.39)	↑ 747.3% more	↑ 1029.8% more
#38	Claude Mythos 5 Anthropic	$1.387500 (rounded ~ $1.39)	↑ 747.3% more	↑ 1029.8% more
#39	GPT-5.5 OpenAI	$1.637500 (rounded ~ $1.64)	↑ 900% more	↑ 1233.3% more
#40	GPT-6 Astra OpenAI	$2.775000 (rounded ~ $2.78)	↑ 1594.7% more	↑ 2159.5% more
#41	GPT-6 Astra OpenAI	$2.775000 (rounded ~ $2.78)	↑ 1594.7% more	↑ 2159.5% more

🏆

Nemotron 3 Super
NVIDIA

$0.024625 (rounded ~ $0.02)

vs Gemini 3.1 Flash: ↓ 85%

vs GPT-5.4 mini: ↓ 79.9%

🥈

Claude Haiku 5.5
Anthropic

$0.027750 (rounded ~ $0.03)

vs Gemini 3.1 Flash: ↓ 83.1%

vs GPT-5.4 mini: ↓ 77.4%

🥉

GPT-6 Luna
OpenAI

$0.027750 (rounded ~ $0.03)

vs Gemini 3.1 Flash: ↓ 83.1%

vs GPT-5.4 mini: ↓ 77.4%

GPT-5.6 Luna
OpenAI

$0.032750 (rounded ~ $0.03)

vs Gemini 3.1 Flash: ↓ 80%

vs GPT-5.4 mini: ↓ 73.3%

Gemini 3.1 Flash Lite
Google

$0.040938

vs Gemini 3.1 Flash: ↓ 75%

vs GPT-5.4 mini: ↓ 66.7%

Mistral Large 3
Mistral AI

$0.044375 (rounded ~ $0.04)

vs Gemini 3.1 Flash: ↓ 72.9%

vs GPT-5.4 mini: ↓ 63.9%

Gemini 3.5 Flash-Lite
Google

$0.066625 (rounded ~ $0.07)

vs Gemini 3.1 Flash: ↓ 59.3%

vs GPT-5.4 mini: ↓ 45.8%

Gemini 2.5 Flash
Google

$0.066625 (rounded ~ $0.07)

vs Gemini 3.1 Flash: ↓ 59.3%

vs GPT-5.4 mini: ↓ 45.8%

Gemini 3.8 Flash
Google

$0.104063 (rounded ~ $0.10)

vs Gemini 3.1 Flash: ↓ 36.5%

vs GPT-5.4 mini: ↓ 15.3%

#10

Gemini 3.6 Flash
Google

$0.104063 (rounded ~ $0.10)

vs Gemini 3.1 Flash: ↓ 36.5%

vs GPT-5.4 mini: ↓ 15.3%

#11

GPT-5.4 mini
OpenAI

$0.122813 (rounded ~ $0.12)

vs Gemini 3.1 Flash: ↓ 25%

vs GPT-5.4 mini: Same

#12

Mistral Large 4
Mistral AI

$0.123200 (rounded ~ $0.12)

vs Gemini 3.1 Flash: ↓ 24.8%

vs GPT-5.4 mini: ↑ 0.3%

#13

Claude Haiku 4.5
Anthropic

$0.138750 (rounded ~ $0.14)

vs Gemini 3.1 Flash: ↓ 15.3%

vs GPT-5.4 mini: ↑ 13%

#14

Grok 4.3
xAI

$0.255000 (rounded ~ $0.26)

vs Gemini 3.1 Flash: ↑ 55.7%

vs GPT-5.4 mini: ↑ 107.6%

#15

Grok 4.20 Beta
xAI

$0.255000 (rounded ~ $0.26)

vs Gemini 3.1 Flash: ↑ 55.7%

vs GPT-5.4 mini: ↑ 107.6%

#16

Claude Sonnet 5.5
Anthropic

$0.276250 (rounded ~ $0.28)

vs Gemini 3.1 Flash: ↑ 68.7%

vs GPT-5.4 mini: ↑ 124.9%

#17

Claude Sonnet 5
Anthropic

$0.277500 (rounded ~ $0.28)

vs Gemini 3.1 Flash: ↑ 69.5%

vs GPT-5.4 mini: ↑ 126%

#18

Gemini 4 Argon
Google

$0.277500 (rounded ~ $0.28)

vs Gemini 3.1 Flash: ↑ 69.5%

vs GPT-5.4 mini: ↑ 126%

#19

GPT-5.6 Terra
OpenAI

$0.327500 (rounded ~ $0.33)

vs Gemini 3.1 Flash: ↑ 100%

vs GPT-5.4 mini: ↑ 166.7%

#20

GPT-5.3 Codex Spark
OpenAI

$0.374063 (rounded ~ $0.37)

vs Gemini 3.1 Flash: ↑ 128.4%

vs GPT-5.4 mini: ↑ 204.6%

#21

Claude Sonnet 4.6
Anthropic

$0.416250 (rounded ~ $0.42)

vs Gemini 3.1 Flash: ↑ 154.2%

vs GPT-5.4 mini: ↑ 238.9%

#22

Gemini 2.5 Pro
Google

$0.534375 (rounded ~ $0.53)

vs Gemini 3.1 Flash: ↑ 226.3%

vs GPT-5.4 mini: ↑ 335.1%

#23

Claude Opus 5.5
Anthropic

$0.552500 (rounded ~ $0.55)

vs Gemini 3.1 Flash: ↑ 237.4%

vs GPT-5.4 mini: ↑ 349.9%

#24

GPT-6.1 Sol
OpenAI

$0.555000 (rounded ~ $0.56)

vs Gemini 3.1 Flash: ↑ 238.9%

vs GPT-5.4 mini: ↑ 351.9%

#25

GPT-6 Sol
OpenAI

$0.555000 (rounded ~ $0.56)

vs Gemini 3.1 Flash: ↑ 238.9%

vs GPT-5.4 mini: ↑ 351.9%

#26

GPT-5.6 Sol
OpenAI

$0.555000 (rounded ~ $0.56)

vs Gemini 3.1 Flash: ↑ 238.9%

vs GPT-5.4 mini: ↑ 351.9%

#27

Gemini 3.1 Pro
Google

$0.655000 (rounded ~ $0.66)

vs Gemini 3.1 Flash: ↑ 300%

vs GPT-5.4 mini: ↑ 433.3%

#28

Claude Opus 4.7
Anthropic

$0.693750 (rounded ~ $0.69)

vs Gemini 3.1 Flash: ↑ 323.7%

vs GPT-5.4 mini: ↑ 464.9%

#29

Claude Opus 5
Anthropic

$0.693750 (rounded ~ $0.69)

vs Gemini 3.1 Flash: ↑ 323.7%

vs GPT-5.4 mini: ↑ 464.9%

#30

Claude Opus 4.8
Anthropic

$0.693750 (rounded ~ $0.69)

vs Gemini 3.1 Flash: ↑ 323.7%

vs GPT-5.4 mini: ↑ 464.9%

#31

Claude Opus 4.6
Anthropic

$0.693750 (rounded ~ $0.69)

vs Gemini 3.1 Flash: ↑ 323.7%

vs GPT-5.4 mini: ↑ 464.9%

#32

GPT-5.4
OpenAI

$0.818750 (rounded ~ $0.82)

vs Gemini 3.1 Flash: ↑ 400%

vs GPT-5.4 mini: ↑ 566.7%

#33

GPT-5.4 Thinking
OpenAI

$0.818750 (rounded ~ $0.82)

vs Gemini 3.1 Flash: ↑ 400%

vs GPT-5.4 mini: ↑ 566.7%

#34

GPT-5.5 Instant
OpenAI

$0.818750 (rounded ~ $0.82)

vs Gemini 3.1 Flash: ↑ 400%

vs GPT-5.4 mini: ↑ 566.7%

#35

Claude Fable 5.1
Anthropic

$1.378125 (rounded ~ $1.38)

vs Gemini 3.1 Flash: ↑ 741.6%

vs GPT-5.4 mini: ↑ 1022.1%

#36

Claude Mythos 5.1
Anthropic

$1.378125 (rounded ~ $1.38)

vs Gemini 3.1 Flash: ↑ 741.6%

vs GPT-5.4 mini: ↑ 1022.1%

#37

Claude Fable 5
Anthropic

$1.387500 (rounded ~ $1.39)

vs Gemini 3.1 Flash: ↑ 747.3%

vs GPT-5.4 mini: ↑ 1029.8%

#38

Claude Mythos 5
Anthropic

$1.387500 (rounded ~ $1.39)

vs Gemini 3.1 Flash: ↑ 747.3%

vs GPT-5.4 mini: ↑ 1029.8%

#39

GPT-5.5
OpenAI

$1.637500 (rounded ~ $1.64)

vs Gemini 3.1 Flash: ↑ 900%

vs GPT-5.4 mini: ↑ 1233.3%

#40

GPT-6 Astra
OpenAI

$2.775000 (rounded ~ $2.78)

vs Gemini 3.1 Flash: ↑ 1594.7%

vs GPT-5.4 mini: ↑ 2159.5%

#41

GPT-6 Astra
OpenAI

$2.775000 (rounded ~ $2.78)

vs Gemini 3.1 Flash: ↑ 1594.7%

vs GPT-5.4 mini: ↑ 2159.5%

✨ 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 teams managing large-scale product catalogs, the choice between Gemini 3.1 Flash and GPT-5.4 mini often hinges on balancing throughput with linguistic nuance. Translation pipelines require models that can handle diverse, structured data—like product descriptions, technical specs, and SEO meta-tags—without hallucinations or formatting drift.

Gemini 3.1 Flash is frequently favored in high-volume, automated environments where latency is a primary concern. Its native architecture excels at processing long-form product documentation in a single pass, making it an efficient candidate for bulk localization tasks. The model’s ability to maintain context across massive datasets ensures that consistent brand terminology is applied across multiple languages, reducing the need for manual post-editing.

On the other hand, GPT-5.4 mini offers a distinct advantage for teams prioritizing tight instruction following and structured output generation. For catalogs where strict adherence to JSON schemas or specific XML formatting is non-negotiable, this model provides high reliability. It excels at nuanced tasks like adapting cultural references or maintaining specific SEO keyword density, which are critical for international market penetration. While both models are highly capable, the decision often comes down to the specific operational constraints of your pipeline—whether your priority is raw speed and throughput or the precision of complex, multi-step translation instructions.

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.

Translation Cost Optimization: 100K-Token Per-Request Translation for Gemini 3.1 Flash vs GPT-5.4 mini

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Gemini 3.1 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 3.1 Flash 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?

GPT-5.4 mini 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?

✨ Market Recommendations AI Model Registry

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

GPT-5.4 mini OpenAI

Mistral Large 4 Mistral AI

Claude Haiku 4.5 Anthropic

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

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 4.7 Anthropic

Claude Opus 5 Anthropic

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