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. OpenAI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 70% 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.

GPT-6 Luna vs DeepSeek V4 Flash for Legal Document Review: 100K-Token Requests at 100M Monthly Scale

Name: DeepSeek V4 Flash
Brand: DeepSeek
Price: 0.01 USD
Availability: InStock
Rating: 4.5 (89 reviews)

DeepSeek V4 Flash is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

GPT-6 Luna vs DeepSeek V4 Flash

Complete Comparison: 100,000 input tokens × 2,000 output tokens

⚡ 70% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 70% Cached.

⚡ Caching Optimized (up to 98% savings) 📊 Batch API

Comparison Criteria	GPT-6 Luna OpenAI	DeepSeek V4 Flash DeepSeek
Calculation Results (Current Inputs) (70% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.005000 (rounded ~ $0.01)Best	$0.015000 (rounded ~ $0.02)Worst
Output Cost	$0.000500Best	$0.001200Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.002350 Best Value	$0.005910 (rounded ~ $0.01) Most Expensive
Processing Time	4 minutes, 7.89 seconds Slowest	2 minutes, 40.24 seconds Fastest
Tokens per Second	420Slowest	650Fastest
Time to First Token	90ms Best	95ms Worst
Cost per 1K tokens	$0.000023Best	$0.000058Worst
Tokens per Dollar	43,404,255Best Value	17,258,883Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.050000Best	$0.150000Worst
Output Cost / 1M (Base)	$0.250000Best	$0.600000Worst
Input Cost / 1M (Optimized)	$0.025000 (rounded ~ $0.03)Best Optimizations: 50.0% batch	$0.150000Worst Optimizations: No optimizations applied
Output Cost / 1M (Optimized)	$0.125000 (rounded ~ $0.13)Best Optimizations: 50.0% batch	$0.600000Worst Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support	✓ Supported	✗ Not Supported
Caching Support 70	✓ Supported	✓ Supported
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.

GPT-6 Luna OpenAI 1050000

$0.002350

Total Cost

⚡ 70% 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) $0.005500 (rounded ~ $0.01) Input: $0.005000 (rounded ~ $0.01)
Output: $0.000500

Optimized Cost $0.002350 Input: $0.005000 (rounded ~ $0.01)
Output: $0.000500
Unit: $0.000000
Fees: $0.000000

Total Savings $0.003150 57.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

📊 Cliff Pricing

Standard

standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

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

Input Cost: $0.005000 (rounded ~ $0.01)
Output Cost: $0.000500
Total Cost: $0.002350
Cost per 1K tokens: $0.000023
Tokens per dollar: 43,404,255 tokens
Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 90ms time to first token:

Processing Time: 4 minutes, 7.89 seconds
Latency: 90 milliseconds to first token
Base Throughput: 420 tokens/second
Effective Throughput: 412 tokens/second (temperature-adjusted)

Best Use Cases

GPT-6 Luna is best for high-accuracy legal drafting and reasoning; DeepSeek V4 Flash is optimal for high-throughput document triage and classification.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Luna. 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 →

DeepSeek V4 Flash DeepSeek 1000000

$0.005910 (rounded ~ $0.01)

Total Cost

⚡ 70% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✗ Not Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✗ Not Available

⚡

Caching

✓ Available

98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.016200 (rounded ~ $0.02) Input: $0.015000 (rounded ~ $0.02)
Output: $0.001200

Optimized Cost $0.005910 (rounded ~ $0.01) Input: $0.015000 (rounded ~ $0.02)
Output: $0.001200
Unit: $0.000000
Fees: $0.000000

Total Savings $0.010290 63.5% discount

Detailed Cost Analysis (from Plugin)

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

Input Cost: $0.015000 (rounded ~ $0.02)
Output Cost: $0.001200
Total Cost: $0.005910 (rounded ~ $0.01)
Cost per 1K tokens: $0.000058
Tokens per dollar: 17,258,883 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

Processing Time: 2 minutes, 40.24 seconds
Latency: 95 milliseconds to first token
Base Throughput: 650 tokens/second
Effective Throughput: 637 tokens/second (temperature-adjusted)

Best Use Cases

GPT-6 Luna is best for high-accuracy legal drafting and reasoning; DeepSeek V4 Flash is optimal for high-throughput document triage and classification.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4 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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-6 Luna

📋 Active Input Parameters

Input Tokens: 100,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 70%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-6 Luna	vs DeepSeek V4 Flash
🏆	Claude Haiku 5.5 Anthropic	$0.002350 Best Value	Same price	↓ 60.2% cheaper
🥈	GPT-5.6 Luna OpenAI	$0.002450	↑ 4.3% more	↓ 58.5% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.003063	↑ 30.3% more	↓ 48.2% cheaper
#4	Gemini 3.5 Flash-Lite Google	$0.004025	↑ 71.3% more	↓ 31.9% cheaper
#5	Gemini 2.5 Flash Google	$0.004025	↑ 71.3% more	↓ 31.9% cheaper
#6	Mistral Large 3 Mistral AI	$0.005375 (rounded ~ $0.01)	↑ 128.7% more	↓ 9.1% cheaper
#7	Gemini 3.8 Flash Google	$0.008813 (rounded ~ $0.01)	↑ 275% more	↑ 49.1% more
#8	Gemini 3.6 Flash Google	$0.008813 (rounded ~ $0.01)	↑ 275% more	↑ 49.1% more
#9	GPT-5.4 mini OpenAI	$0.009188	↑ 291% more	↑ 55.5% more
#10	Claude Haiku 4.5 Anthropic	$0.011750 (rounded ~ $0.01)	↑ 400% more	↑ 98.8% more
#11	Gemini 3.1 Flash Google	$0.012250 (rounded ~ $0.01)	↑ 421.3% more	↑ 107.3% more
#12	Mistral Large 4 Mistral AI	$0.014670 (rounded ~ $0.01)	↑ 524.3% more	↑ 148.2% more
#13	Claude Sonnet 5.5 Anthropic	$0.021750 (rounded ~ $0.02)	↑ 825.5% more	↑ 268% more
#14	GPT-5.3 Codex Spark OpenAI	$0.023188 (rounded ~ $0.02)	↑ 886.7% more	↑ 292.3% more
#15	GPT-5.3 Instant OpenAI	$0.023188 (rounded ~ $0.02)	↑ 886.7% more	↑ 292.3% more
#16	Claude Sonnet 5 Anthropic	$0.023500 (rounded ~ $0.02)	↑ 900% more	↑ 297.6% more
#17	Gemini 4 Argon Google	$0.023500 (rounded ~ $0.02)	↑ 900% more	↑ 297.6% more
#18	GPT-5.6 Terra OpenAI	$0.024500 (rounded ~ $0.02)	↑ 942.6% more	↑ 314.6% more
#19	Gemini 2.5 Pro Google	$0.033125 (rounded ~ $0.03)	↑ 1309.6% more	↑ 460.5% more
#20	Claude Sonnet 4.6 Anthropic	$0.035250 (rounded ~ $0.04)	↑ 1400% more	↑ 496.4% more
#21	Grok 4.3 xAI	$0.041000 (rounded ~ $0.04)	↑ 1644.7% more	↑ 593.7% more
#22	Grok 4.20 Beta xAI	$0.041000 (rounded ~ $0.04)	↑ 1644.7% more	↑ 593.7% more
#23	Claude Opus 5.5 Anthropic	$0.043500 (rounded ~ $0.04)	↑ 1751.1% more	↑ 636% more
#24	GPT-6.1 Sol OpenAI	$0.047000 (rounded ~ $0.05)	↑ 1900% more	↑ 695.3% more
#25	GPT-6 Sol OpenAI	$0.047000 (rounded ~ $0.05)	↑ 1900% more	↑ 695.3% more
#26	GPT-5.6 Sol OpenAI	$0.047000 (rounded ~ $0.05)	↑ 1900% more	↑ 695.3% more
#27	Gemini 3.1 Pro Google	$0.049000 (rounded ~ $0.05)	↑ 1985.1% more	↑ 729.1% more
#28	Claude Opus 4.7 Anthropic	$0.058750 (rounded ~ $0.06)	↑ 2400% more	↑ 894.1% more
#29	Claude Opus 5 Anthropic	$0.058750 (rounded ~ $0.06)	↑ 2400% more	↑ 894.1% more
#30	Claude Opus 4.8 Anthropic	$0.058750 (rounded ~ $0.06)	↑ 2400% more	↑ 894.1% more
#31	Claude Opus 4.6 Anthropic	$0.058750 (rounded ~ $0.06)	↑ 2400% more	↑ 894.1% more
#32	GPT-5.4 OpenAI	$0.061250 (rounded ~ $0.06)	↑ 2506.4% more	↑ 936.4% more
#33	GPT-5.4 Thinking OpenAI	$0.061250 (rounded ~ $0.06)	↑ 2506.4% more	↑ 936.4% more
#34	GPT-5.5 Instant OpenAI	$0.061250 (rounded ~ $0.06)	↑ 2506.4% more	↑ 936.4% more
#35	Claude Fable 5.1 Anthropic	$0.104375 (rounded ~ $0.10)	↑ 4341.5% more	↑ 1666.1% more
#36	Claude Mythos 5.1 Anthropic	$0.104375 (rounded ~ $0.10)	↑ 4341.5% more	↑ 1666.1% more
#37	Claude Fable 5 Anthropic	$0.117500 (rounded ~ $0.12)	↑ 4900% more	↑ 1888.2% more
#38	Claude Mythos 5 Anthropic	$0.117500 (rounded ~ $0.12)	↑ 4900% more	↑ 1888.2% more
#39	GPT-5.5 OpenAI	$0.122500 (rounded ~ $0.12)	↑ 5112.8% more	↑ 1972.8% more
#40	GPT-6 Astra OpenAI	$0.235000 (rounded ~ $0.24)	↑ 9900% more	↑ 3876.3% more
#41	GPT-5.2 Pro OpenAI	$0.278250 (rounded ~ $0.28)	↑ 11740.4% more	↑ 4608.1% more
#42	GPT-5.2 Pro OpenAI	$0.278250 (rounded ~ $0.28)	↑ 11740.4% more	↑ 4608.1% more

🏆

Claude Haiku 5.5
Anthropic

$0.002350

vs GPT-6 Luna: Same

vs DeepSeek V4 Flash: ↓ 60.2%

🥈

GPT-5.6 Luna
OpenAI

$0.002450

vs GPT-6 Luna: ↑ 4.3%

vs DeepSeek V4 Flash: ↓ 58.5%

🥉

Gemini 3.1 Flash Lite
Google

$0.003063

vs GPT-6 Luna: ↑ 30.3%

vs DeepSeek V4 Flash: ↓ 48.2%

Gemini 3.5 Flash-Lite
Google

$0.004025

vs GPT-6 Luna: ↑ 71.3%

vs DeepSeek V4 Flash: ↓ 31.9%

Gemini 2.5 Flash
Google

$0.004025

vs GPT-6 Luna: ↑ 71.3%

vs DeepSeek V4 Flash: ↓ 31.9%

Mistral Large 3
Mistral AI

$0.005375 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 128.7%

vs DeepSeek V4 Flash: ↓ 9.1%

Gemini 3.8 Flash
Google

$0.008813 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 275%

vs DeepSeek V4 Flash: ↑ 49.1%

Gemini 3.6 Flash
Google

$0.008813 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 275%

vs DeepSeek V4 Flash: ↑ 49.1%

GPT-5.4 mini
OpenAI

$0.009188

vs GPT-6 Luna: ↑ 291%

vs DeepSeek V4 Flash: ↑ 55.5%

#10

Claude Haiku 4.5
Anthropic

$0.011750 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 400%

vs DeepSeek V4 Flash: ↑ 98.8%

#11

Gemini 3.1 Flash
Google

$0.012250 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 421.3%

vs DeepSeek V4 Flash: ↑ 107.3%

#12

Mistral Large 4
Mistral AI

$0.014670 (rounded ~ $0.01)

vs GPT-6 Luna: ↑ 524.3%

vs DeepSeek V4 Flash: ↑ 148.2%

#13

Claude Sonnet 5.5
Anthropic

$0.021750 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 825.5%

vs DeepSeek V4 Flash: ↑ 268%

#14

GPT-5.3 Codex Spark
OpenAI

$0.023188 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 886.7%

vs DeepSeek V4 Flash: ↑ 292.3%

#15

GPT-5.3 Instant
OpenAI

$0.023188 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 886.7%

vs DeepSeek V4 Flash: ↑ 292.3%

#16

Claude Sonnet 5
Anthropic

$0.023500 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 900%

vs DeepSeek V4 Flash: ↑ 297.6%

#17

Gemini 4 Argon
Google

$0.023500 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 900%

vs DeepSeek V4 Flash: ↑ 297.6%

#18

GPT-5.6 Terra
OpenAI

$0.024500 (rounded ~ $0.02)

vs GPT-6 Luna: ↑ 942.6%

vs DeepSeek V4 Flash: ↑ 314.6%

#19

Gemini 2.5 Pro
Google

$0.033125 (rounded ~ $0.03)

vs GPT-6 Luna: ↑ 1309.6%

vs DeepSeek V4 Flash: ↑ 460.5%

#20

Claude Sonnet 4.6
Anthropic

$0.035250 (rounded ~ $0.04)

vs GPT-6 Luna: ↑ 1400%

vs DeepSeek V4 Flash: ↑ 496.4%

#21

Grok 4.3
xAI

$0.041000 (rounded ~ $0.04)

vs GPT-6 Luna: ↑ 1644.7%

vs DeepSeek V4 Flash: ↑ 593.7%

#22

Grok 4.20 Beta
xAI

$0.041000 (rounded ~ $0.04)

vs GPT-6 Luna: ↑ 1644.7%

vs DeepSeek V4 Flash: ↑ 593.7%

#23

Claude Opus 5.5
Anthropic

$0.043500 (rounded ~ $0.04)

vs GPT-6 Luna: ↑ 1751.1%

vs DeepSeek V4 Flash: ↑ 636%

#24

GPT-6.1 Sol
OpenAI

$0.047000 (rounded ~ $0.05)

vs GPT-6 Luna: ↑ 1900%

vs DeepSeek V4 Flash: ↑ 695.3%

#25

GPT-6 Sol
OpenAI

$0.047000 (rounded ~ $0.05)

vs GPT-6 Luna: ↑ 1900%

vs DeepSeek V4 Flash: ↑ 695.3%

#26

GPT-5.6 Sol
OpenAI

$0.047000 (rounded ~ $0.05)

vs GPT-6 Luna: ↑ 1900%

vs DeepSeek V4 Flash: ↑ 695.3%

#27

Gemini 3.1 Pro
Google

$0.049000 (rounded ~ $0.05)

vs GPT-6 Luna: ↑ 1985.1%

vs DeepSeek V4 Flash: ↑ 729.1%

#28

Claude Opus 4.7
Anthropic

$0.058750 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2400%

vs DeepSeek V4 Flash: ↑ 894.1%

#29

Claude Opus 5
Anthropic

$0.058750 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2400%

vs DeepSeek V4 Flash: ↑ 894.1%

#30

Claude Opus 4.8
Anthropic

$0.058750 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2400%

vs DeepSeek V4 Flash: ↑ 894.1%

#31

Claude Opus 4.6
Anthropic

$0.058750 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2400%

vs DeepSeek V4 Flash: ↑ 894.1%

#32

GPT-5.4
OpenAI

$0.061250 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2506.4%

vs DeepSeek V4 Flash: ↑ 936.4%

#33

GPT-5.4 Thinking
OpenAI

$0.061250 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2506.4%

vs DeepSeek V4 Flash: ↑ 936.4%

#34

GPT-5.5 Instant
OpenAI

$0.061250 (rounded ~ $0.06)

vs GPT-6 Luna: ↑ 2506.4%

vs DeepSeek V4 Flash: ↑ 936.4%

#35

Claude Fable 5.1
Anthropic

$0.104375 (rounded ~ $0.10)

vs GPT-6 Luna: ↑ 4341.5%

vs DeepSeek V4 Flash: ↑ 1666.1%

#36

Claude Mythos 5.1
Anthropic

$0.104375 (rounded ~ $0.10)

vs GPT-6 Luna: ↑ 4341.5%

vs DeepSeek V4 Flash: ↑ 1666.1%

#37

Claude Fable 5
Anthropic

$0.117500 (rounded ~ $0.12)

vs GPT-6 Luna: ↑ 4900%

vs DeepSeek V4 Flash: ↑ 1888.2%

#38

Claude Mythos 5
Anthropic

$0.117500 (rounded ~ $0.12)

vs GPT-6 Luna: ↑ 4900%

vs DeepSeek V4 Flash: ↑ 1888.2%

#39

GPT-5.5
OpenAI

$0.122500 (rounded ~ $0.12)

vs GPT-6 Luna: ↑ 5112.8%

vs DeepSeek V4 Flash: ↑ 1972.8%

#40

GPT-6 Astra
OpenAI

$0.235000 (rounded ~ $0.24)

vs GPT-6 Luna: ↑ 9900%

vs DeepSeek V4 Flash: ↑ 3876.3%

#41

GPT-5.2 Pro
OpenAI

$0.278250 (rounded ~ $0.28)

vs GPT-6 Luna: ↑ 11740.4%

vs DeepSeek V4 Flash: ↑ 4608.1%

#42

GPT-5.2 Pro
OpenAI

$0.278250 (rounded ~ $0.28)

vs GPT-6 Luna: ↑ 11740.4%

vs DeepSeek V4 Flash: ↑ 4608.1%

✨ 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.

Legal discovery and due diligence workflows are defined by the need for exhaustive analysis across massive document sets. Choosing between GPT-6 Luna and DeepSeek V4 Flash requires balancing specific architectural requirements, such as reasoning intensity versus raw throughput. GPT-6 Luna is particularly effective for complex legal analysis tasks where deep contextual reasoning is required to identify nuances in contractual language or regulatory discrepancies. Its ability to navigate structured and unstructured data makes it a strong contender for high-stakes due diligence where accuracy is non-negotiable.

Conversely, DeepSeek V4 Flash offers distinct advantages for pipelines where volume and speed are the primary drivers. Its cache optimization and thinking capabilities make it highly efficient for processing repetitive, high-volume review tasks—such as initial classification or keyword extraction across 100M tokens monthly. For legal tech engineers, this comparison highlights the trade-off between the ‘reasoning-first’ approach of GPT-6 Luna and the ‘throughput-optimized’ architecture of DeepSeek.

When architecting for enterprise-scale legal review, the choice often hinges on the specific phase of the document lifecycle. DeepSeek V4 Flash excels in the early triage of large document batches, while GPT-6 Luna provides the necessary depth for the subsequent extraction and synthesis phases. Evaluating these models based on their integration with your existing document management systems is critical. Both models support robust tool-calling, allowing for seamless integration into automated compliance pipelines and e-discovery platforms.

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.

GPT-6 Luna vs DeepSeek V4 Flash for Legal Document Review: 100K-Token Requests at 100M Monthly Scale

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-6 Luna

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

GPT-6 Luna OpenAI 1050000

💰 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?

DeepSeek V4 Flash DeepSeek 1000000

💰 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-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

Claude Sonnet 5.5 Anthropic

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

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

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

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