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 Muse Spark 1.3 for 100K-Token KB

Name: Muse Spark 1.3
Brand: Meta AI
Price: 0.13 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Gemini 3.8 Flash vs Muse Spark 1.3

Complete Comparison: 100,000 input tokens × 500 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	Muse Spark 1.3 Meta AI
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	500	500
Cost Breakdown
Input Cost	$0.018750 (rounded ~ $0.02)Best	$0.125000 (rounded ~ $0.13)Worst
Output Cost	$0.000469Best	$0.002125Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.010781 Best Value	$0.127125 (rounded ~ $0.13) Most Expensive
Processing Time	5 minutes, 16.46 seconds Fastest	5 minutes, 36.23 seconds Slowest
Tokens per Second	340Fastest	320Slowest
Time to First Token	105ms Best	150ms Worst
Cost per 1K tokens	$0.000107Best	$0.001265Worst
Tokens per Dollar	9,321,739Best Value	790,560Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.187500 (rounded ~ $0.19)Best	$1.250000Worst
Output Cost / 1M (Base)	$0.937500 (rounded ~ $0.94)Best	$4.250000Worst
Input Cost / 1M (Optimized)	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch	$1.250000Worst Optimizations: No optimizations applied
Output Cost / 1M (Optimized)	$0.468750 (rounded ~ $0.47)Best Optimizations: 50.0% batch	$4.250000Worst Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Video Support	✓ Supported	✗ Not Supported
Audio Support	✓ Supported	✗ Not Supported
Caching Support 50	✓ Supported	✗ Not Supported requested
Batch API Support	✓ Supported	✗ Not 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

$0.010781

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) $0.019219 Input: $0.018750 (rounded ~ $0.02)
Output: $0.000469

Optimized Cost $0.010781 Input: $0.018750 (rounded ~ $0.02)
Output: $0.000469
Unit: $0.000000
Fees: $0.000000

Total Savings $0.008438 (rounded ~ $0.01) 43.9% 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 500 output tokens:

Input Cost: $0.018750 (rounded ~ $0.02)
Output Cost: $0.000469
Total Cost: $0.010781
Cost per 1K tokens: $0.000107
Tokens per dollar: 9,321,739 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: 5 minutes, 16.46 seconds
Latency: 105 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Efficientscalable internal Q&A pipelines; Gemini 3.8 Flash for multimodal contexts and Muse Spark 1.3 for text-intensive reasoning.

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 →

Muse Spark 1.3 Meta AI

$0.127125 (rounded ~ $0.13)

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

✗ Not Available

⚡

Caching

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.127125 (rounded ~ $0.13) Input: $0.125000 (rounded ~ $0.13)
Output: $0.002125

Optimized Cost $0.127125 (rounded ~ $0.13) Input: $0.125000 (rounded ~ $0.13)
Output: $0.002125
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 500 output tokens:

Input Cost: $0.125000 (rounded ~ $0.13)
Output Cost: $0.002125
Total Cost: $0.127125 (rounded ~ $0.13)
Cost per 1K tokens: $0.001265
Tokens per dollar: 790,560 tokens
Context Window: 262144 tokens

Speed & Performance Analysis

With a processing speed of 320 tokens per second and 150ms time to first token:

Processing Time: 5 minutes, 36.23 seconds
Latency: 150 milliseconds to first token
Base Throughput: 320 tokens/second
Effective Throughput: 299 tokens/second (temperature-adjusted)

Best Use Cases

Efficientscalable internal Q&A pipelines; Gemini 3.8 Flash for multimodal contexts and Muse Spark 1.3 for text-intensive reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Muse Spark 1.3. 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: 100,000

Output Tokens: 500

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Gemini 3.8 Flash	vs Muse Spark 1.3
🏆	Claude Haiku 5.5 Anthropic	$0.002875 Best Value	↓ 73.3% cheaper	↓ 97.7% cheaper
🥈	GPT-6 Luna OpenAI	$0.002875	↓ 73.3% cheaper	↓ 97.7% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.002900	↓ 73.1% cheaper	↓ 97.7% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.003625	↓ 66.4% cheaper	↓ 97.1% cheaper
#5	Gemini 3.5 Flash-Lite Google	$0.004438	↓ 58.8% cheaper	↓ 96.5% cheaper
#6	Gemini 2.5 Flash Google	$0.004438	↓ 58.8% cheaper	↓ 96.5% cheaper
#7	Mistral Large 3 Mistral AI	$0.007063 (rounded ~ $0.01)	↓ 34.5% cheaper	↓ 94.4% cheaper
#8	Gemini 3.6 Flash Google	$0.010781	Same price	↓ 91.5% cheaper
#9	GPT-5.4 mini OpenAI	$0.010875	↑ 0.9% more	↓ 91.4% cheaper
#10	Claude Haiku 4.5 Anthropic	$0.014375 (rounded ~ $0.01)	↑ 33.3% more	↓ 88.7% cheaper
#11	Gemini 3.1 Flash Google	$0.014500 (rounded ~ $0.01)	↑ 34.5% more	↓ 88.6% cheaper
#12	Mistral Large 4 Mistral AI	$0.019223	↑ 78.3% more	↓ 84.9% cheaper
#13	GPT-5.3 Codex Spark OpenAI	$0.025813 (rounded ~ $0.03)	↑ 139.4% more	↓ 79.7% cheaper
#14	GPT-5.3 Instant OpenAI	$0.025813 (rounded ~ $0.03)	↑ 139.4% more	↓ 79.7% cheaper
#15	Claude Sonnet 5.5 Anthropic	$0.027500 (rounded ~ $0.03)	↑ 155.1% more	↓ 78.4% cheaper
#16	Gemini 4 Argon Google	$0.028750 (rounded ~ $0.03)	↑ 166.7% more	↓ 77.4% cheaper
#17	Claude Sonnet 5 Anthropic	$0.028750 (rounded ~ $0.03)	↑ 166.7% more	↓ 77.4% cheaper
#18	GPT-5.6 Terra OpenAI	$0.029000	↑ 169% more	↓ 77.2% cheaper
#19	Gemini 2.5 Pro Google	$0.036875 (rounded ~ $0.04)	↑ 242% more	↓ 71% cheaper
#20	Claude Sonnet 4.6 Anthropic	$0.043125 (rounded ~ $0.04)	↑ 300% more	↓ 66.1% cheaper
#21	Claude Opus 5.5 Anthropic	$0.055000 (rounded ~ $0.06)	↑ 410.1% more	↓ 56.7% cheaper
#22	Grok 4.3 xAI	$0.056000 (rounded ~ $0.06)	↑ 419.4% more	↓ 55.9% cheaper
#23	Grok 4.20 Beta xAI	$0.056000 (rounded ~ $0.06)	↑ 419.4% more	↓ 55.9% cheaper
#24	GPT-6.1 Sol OpenAI	$0.057500 (rounded ~ $0.06)	↑ 433.3% more	↓ 54.8% cheaper
#25	GPT-6 Sol OpenAI	$0.057500 (rounded ~ $0.06)	↑ 433.3% more	↓ 54.8% cheaper
#26	GPT-5.6 Sol OpenAI	$0.057500 (rounded ~ $0.06)	↑ 433.3% more	↓ 54.8% cheaper
#27	Gemini 3.1 Pro Google	$0.058000 (rounded ~ $0.06)	↑ 438% more	↓ 54.4% cheaper
#28	Claude Opus 4.7 Anthropic	$0.071875 (rounded ~ $0.07)	↑ 566.7% more	↓ 43.5% cheaper
#29	Claude Opus 5 Anthropic	$0.071875 (rounded ~ $0.07)	↑ 566.7% more	↓ 43.5% cheaper
#30	Claude Opus 4.8 Anthropic	$0.071875 (rounded ~ $0.07)	↑ 566.7% more	↓ 43.5% cheaper
#31	Claude Opus 4.6 Anthropic	$0.071875 (rounded ~ $0.07)	↑ 566.7% more	↓ 43.5% cheaper
#32	GPT-5.4 OpenAI	$0.072500 (rounded ~ $0.07)	↑ 572.5% more	↓ 43% cheaper
#33	GPT-5.4 Thinking OpenAI	$0.072500 (rounded ~ $0.07)	↑ 572.5% more	↓ 43% cheaper
#34	GPT-5.5 Instant OpenAI	$0.072500 (rounded ~ $0.07)	↑ 572.5% more	↓ 43% cheaper
#35	Claude Fable 5.1 Anthropic	$0.134375 (rounded ~ $0.13)	↑ 1146.4% more	↑ 5.7% more
#36	Claude Mythos 5.1 Anthropic	$0.134375 (rounded ~ $0.13)	↑ 1146.4% more	↑ 5.7% more
#37	Claude Fable 5 Anthropic	$0.143750 (rounded ~ $0.14)	↑ 1233.3% more	↑ 13.1% more
#38	Claude Mythos 5 Anthropic	$0.143750 (rounded ~ $0.14)	↑ 1233.3% more	↑ 13.1% more
#39	GPT-5.5 OpenAI	$0.145000 (rounded ~ $0.15)	↑ 1244.9% more	↑ 14.1% more
#40	GPT-6 Astra OpenAI	$0.287500 (rounded ~ $0.29)	↑ 2566.7% more	↑ 126.2% more
#41	GPT-5.2 Pro OpenAI	$0.309750	↑ 2773% more	↑ 143.7% more
#42	GPT-5.2 Pro OpenAI	$0.309750	↑ 2773% more	↑ 143.7% more

🏆

Claude Haiku 5.5
Anthropic

$0.002875

vs Gemini 3.8 Flash: ↓ 73.3%

vs Muse Spark 1.3: ↓ 97.7%

🥈

GPT-6 Luna
OpenAI

$0.002875

vs Gemini 3.8 Flash: ↓ 73.3%

vs Muse Spark 1.3: ↓ 97.7%

🥉

GPT-5.6 Luna
OpenAI

$0.002900

vs Gemini 3.8 Flash: ↓ 73.1%

vs Muse Spark 1.3: ↓ 97.7%

Gemini 3.1 Flash Lite
Google

$0.003625

vs Gemini 3.8 Flash: ↓ 66.4%

vs Muse Spark 1.3: ↓ 97.1%

Gemini 3.5 Flash-Lite
Google

$0.004438

vs Gemini 3.8 Flash: ↓ 58.8%

vs Muse Spark 1.3: ↓ 96.5%

Gemini 2.5 Flash
Google

$0.004438

vs Gemini 3.8 Flash: ↓ 58.8%

vs Muse Spark 1.3: ↓ 96.5%

Mistral Large 3
Mistral AI

$0.007063 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↓ 34.5%

vs Muse Spark 1.3: ↓ 94.4%

Gemini 3.6 Flash
Google

$0.010781

vs Gemini 3.8 Flash: Same

vs Muse Spark 1.3: ↓ 91.5%

GPT-5.4 mini
OpenAI

$0.010875

vs Gemini 3.8 Flash: ↑ 0.9%

vs Muse Spark 1.3: ↓ 91.4%

#10

Claude Haiku 4.5
Anthropic

$0.014375 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 33.3%

vs Muse Spark 1.3: ↓ 88.7%

#11

Gemini 3.1 Flash
Google

$0.014500 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 34.5%

vs Muse Spark 1.3: ↓ 88.6%

#12

Mistral Large 4
Mistral AI

$0.019223

vs Gemini 3.8 Flash: ↑ 78.3%

vs Muse Spark 1.3: ↓ 84.9%

#13

GPT-5.3 Codex Spark
OpenAI

$0.025813 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 139.4%

vs Muse Spark 1.3: ↓ 79.7%

#14

GPT-5.3 Instant
OpenAI

$0.025813 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 139.4%

vs Muse Spark 1.3: ↓ 79.7%

#15

Claude Sonnet 5.5
Anthropic

$0.027500 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 155.1%

vs Muse Spark 1.3: ↓ 78.4%

#16

Gemini 4 Argon
Google

$0.028750 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 166.7%

vs Muse Spark 1.3: ↓ 77.4%

#17

Claude Sonnet 5
Anthropic

$0.028750 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 166.7%

vs Muse Spark 1.3: ↓ 77.4%

#18

GPT-5.6 Terra
OpenAI

$0.029000

vs Gemini 3.8 Flash: ↑ 169%

vs Muse Spark 1.3: ↓ 77.2%

#19

Gemini 2.5 Pro
Google

$0.036875 (rounded ~ $0.04)

vs Gemini 3.8 Flash: ↑ 242%

vs Muse Spark 1.3: ↓ 71%

#20

Claude Sonnet 4.6
Anthropic

$0.043125 (rounded ~ $0.04)

vs Gemini 3.8 Flash: ↑ 300%

vs Muse Spark 1.3: ↓ 66.1%

#21

Claude Opus 5.5
Anthropic

$0.055000 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 410.1%

vs Muse Spark 1.3: ↓ 56.7%

#22

Grok 4.3
xAI

$0.056000 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 419.4%

vs Muse Spark 1.3: ↓ 55.9%

#23

Grok 4.20 Beta
xAI

$0.056000 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 419.4%

vs Muse Spark 1.3: ↓ 55.9%

#24

GPT-6.1 Sol
OpenAI

$0.057500 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Muse Spark 1.3: ↓ 54.8%

#25

GPT-6 Sol
OpenAI

$0.057500 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Muse Spark 1.3: ↓ 54.8%

#26

GPT-5.6 Sol
OpenAI

$0.057500 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 433.3%

vs Muse Spark 1.3: ↓ 54.8%

#27

Gemini 3.1 Pro
Google

$0.058000 (rounded ~ $0.06)

vs Gemini 3.8 Flash: ↑ 438%

vs Muse Spark 1.3: ↓ 54.4%

#28

Claude Opus 4.7
Anthropic

$0.071875 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 566.7%

vs Muse Spark 1.3: ↓ 43.5%

#29

Claude Opus 5
Anthropic

$0.071875 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 566.7%

vs Muse Spark 1.3: ↓ 43.5%

#30

Claude Opus 4.8
Anthropic

$0.071875 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 566.7%

vs Muse Spark 1.3: ↓ 43.5%

#31

Claude Opus 4.6
Anthropic

$0.071875 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 566.7%

vs Muse Spark 1.3: ↓ 43.5%

#32

GPT-5.4
OpenAI

$0.072500 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 572.5%

vs Muse Spark 1.3: ↓ 43%

#33

GPT-5.4 Thinking
OpenAI

$0.072500 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 572.5%

vs Muse Spark 1.3: ↓ 43%

#34

GPT-5.5 Instant
OpenAI

$0.072500 (rounded ~ $0.07)

vs Gemini 3.8 Flash: ↑ 572.5%

vs Muse Spark 1.3: ↓ 43%

#35

Claude Fable 5.1
Anthropic

$0.134375 (rounded ~ $0.13)

vs Gemini 3.8 Flash: ↑ 1146.4%

vs Muse Spark 1.3: ↑ 5.7%

#36

Claude Mythos 5.1
Anthropic

$0.134375 (rounded ~ $0.13)

vs Gemini 3.8 Flash: ↑ 1146.4%

vs Muse Spark 1.3: ↑ 5.7%

#37

Claude Fable 5
Anthropic

$0.143750 (rounded ~ $0.14)

vs Gemini 3.8 Flash: ↑ 1233.3%

vs Muse Spark 1.3: ↑ 13.1%

#38

Claude Mythos 5
Anthropic

$0.143750 (rounded ~ $0.14)

vs Gemini 3.8 Flash: ↑ 1233.3%

vs Muse Spark 1.3: ↑ 13.1%

#39

GPT-5.5
OpenAI

$0.145000 (rounded ~ $0.15)

vs Gemini 3.8 Flash: ↑ 1244.9%

vs Muse Spark 1.3: ↑ 14.1%

#40

GPT-6 Astra
OpenAI

$0.287500 (rounded ~ $0.29)

vs Gemini 3.8 Flash: ↑ 2566.7%

vs Muse Spark 1.3: ↑ 126.2%

#41

GPT-5.2 Pro
OpenAI

$0.309750

vs Gemini 3.8 Flash: ↑ 2773%

vs Muse Spark 1.3: ↑ 143.7%

#42

GPT-5.2 Pro
OpenAI

$0.309750

vs Gemini 3.8 Flash: ↑ 2773%

vs Muse Spark 1.3: ↑ 143.7%

✨ 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.

When evaluating models for internal knowledge base Q&A, the primary trade-off is often between the raw reasoning power of flagship models and the cost-efficiency required for scaling to larger teams. Both Gemini 3.8 Flash and Muse Spark 1.3 offer compelling value for 100K-token workloads, but they excel in different areas. Gemini 3.8 Flash is a highly versatile workhorse, particularly suited for multimodal environments where your internal knowledge base might include not just text documents, but also embedded charts, diagrams, or even video transcripts from company meetings. Its ability to process these inputs natively provides a distinct advantage in search-heavy applications where employees are looking for information locked in non-text formats.

In contrast, Muse Spark 1.3 is an excellent choice for teams focused on pure text-based reasoning and structured analysis. If your knowledge base is primarily composed of lengthy policy documents, standard operating procedures, or technical manuals, this model offers a highly efficient path to accurate answers without the overhead of unnecessary multimodal features. It excels in tasks that demand consistent, predictable logic, making it a strong contender for strictly text-driven Q&A systems. Choosing between them often comes down to your content mix: opt for Gemini 3.8 Flash if your repository is rich with media and diverse data types, or select Muse Spark 1.3 if your focus is on high-performance text reasoning. Both models provide the scalability necessary to keep costs manageable as your internal Q&A system grows across the organization.

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 Muse Spark 1.3 for 100K-Token KB

🔄 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?

Muse Spark 1.3 Meta AI

💰 Total Cost Calculation (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

Gemini 4 Argon Google

Claude Sonnet 5 Anthropic

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Claude Opus 5.5 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

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

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

Gemini 4 Argon
Google

Claude Sonnet 5
Anthropic

GPT-5.6 Terra
OpenAI

Gemini 2.5 Pro
Google

Claude Sonnet 4.6
Anthropic

Claude Opus 5.5
Anthropic

Grok 4.3
xAI

Grok 4.20 Beta
xAI

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