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 85% 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-6.1 Sol vs Claude Sonnet 5.5 for Scientific Research: 65K-Token Paper Drafting

Name: Claude Sonnet 5.5
Brand: Anthropic
Price: 0.04 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-6.1 Sol vs Claude Sonnet 5.5

Complete Comparison: 50,000 input tokens × 15,000 output tokens

⚡ 85% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 85% Cached.

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

Comparison Criteria	GPT-6.1 Sol OpenAI	Claude Sonnet 5.5 Anthropic
Calculation Results (Current Inputs) (85% cached)
Input Tokens	50,000	50,000
Output Tokens	15,000	15,000
Cost Breakdown
Input Cost	$0.050000Worst	$0.025000 (rounded ~ $0.03)Best
Output Cost	$0.075000 (rounded ~ $0.08)Worst	$0.037500 (rounded ~ $0.04)Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.086750 (rounded ~ $0.09) Most Expensive	$0.042313 (rounded ~ $0.04) Best Value
Processing Time	8 minutes, 35.37 seconds Slowest	3 minutes, 52.01 seconds Fastest
Tokens per Second	135Slowest	300Fastest
Time to First Token	330ms Worst	300ms Best
Cost per 1K tokens	$0.001335Worst	$0.000651Best
Tokens per Dollar	749,280Worst Value	1,536,189Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.000000Worst	$0.500000Best
Output Cost / 1M (Base)	$5.000000Worst	$2.500000Best
Input Cost / 1M (Optimized)	$0.500000Worst Optimizations: 50.0% batch	$0.250000Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$2.500000Worst Optimizations: 50.0% batch	$1.250000Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Caching Support 85	✓ 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.

GPT-6.1 Sol OpenAI 1050000

$0.086750 (rounded ~ $0.09)

Total Cost

⚡ 85% 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) $0.125000 (rounded ~ $0.13) Input: $0.050000
Output: $0.075000 (rounded ~ $0.08)

Optimized Cost $0.086750 (rounded ~ $0.09) Input: $0.050000
Output: $0.075000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.038250 (rounded ~ $0.04) 30.6% 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 50,000 input tokens and 15,000 output tokens:

Input Cost: $0.050000
Output Cost: $0.075000 (rounded ~ $0.08)
Total Cost: $0.086750 (rounded ~ $0.09)
Cost per 1K tokens: $0.001335
Tokens per dollar: 749,280 tokens
Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 135 tokens per second and 330ms time to first token:

Processing Time: 8 minutes, 35.37 seconds
Latency: 330 milliseconds to first token
Base Throughput: 135 tokens/second
Effective Throughput: 126 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for research teams needing deep reasoning for manuscript drafting or comparing high-quality literature synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6.1 Sol. 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 →

Claude Sonnet 5.5 Anthropic 1000000

$0.042313 (rounded ~ $0.04)

Total Cost

⚡ 85% 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) $0.062500 (rounded ~ $0.06) Input: $0.025000 (rounded ~ $0.03)
Output: $0.037500 (rounded ~ $0.04)

Optimized Cost $0.042313 (rounded ~ $0.04) Input: $0.025000 (rounded ~ $0.03)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.020188 32.3% 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 15,000 output tokens:

Input Cost: $0.025000 (rounded ~ $0.03)
Output Cost: $0.037500 (rounded ~ $0.04)
Total Cost: $0.042313 (rounded ~ $0.04)
Cost per 1K tokens: $0.000651
Tokens per dollar: 1,536,189 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 300ms time to first token:

Processing Time: 3 minutes, 52.01 seconds
Latency: 300 milliseconds to first token
Base Throughput: 300 tokens/second
Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for research teams needing deep reasoning for manuscript drafting or comparing high-quality literature synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5.5. 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-6.1 Sol

📋 Active Input Parameters

Input Tokens: 50,000

Output Tokens: 15,000

Batch API: Enabled (50% discount)

Cached Tokens: 85%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-6.1 Sol	vs Claude Sonnet 5.5
🏆	Claude Haiku 5.5 Anthropic	$0.004338 Best Value	↓ 95% cheaper	↓ 89.7% cheaper
🥈	GPT-6 Luna OpenAI	$0.004338	↓ 95% cheaper	↓ 89.7% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.005088 (rounded ~ $0.01)	↓ 94.1% cheaper	↓ 88% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.006359 (rounded ~ $0.01)	↓ 92.7% cheaper	↓ 85% cheaper
#5	Mistral Large 3 Mistral AI	$0.007094 (rounded ~ $0.01)	↓ 91.8% cheaper	↓ 83.2% cheaper
#6	Gemini 3.5 Flash-Lite Google	$0.010256	↓ 88.2% cheaper	↓ 75.8% cheaper
#7	Gemini 2.5 Flash Google	$0.010256	↓ 88.2% cheaper	↓ 75.8% cheaper
#8	Gemini 3.8 Flash Google	$0.016266 (rounded ~ $0.02)	↓ 81.3% cheaper	↓ 61.6% cheaper
#9	Gemini 3.6 Flash Google	$0.016266 (rounded ~ $0.02)	↓ 81.3% cheaper	↓ 61.6% cheaper
#10	GPT-5.4 mini OpenAI	$0.019078	↓ 78% cheaper	↓ 54.9% cheaper
#11	Mistral Large 4 Mistral AI	$0.019670	↓ 77.3% cheaper	↓ 53.5% cheaper
#12	Claude Haiku 4.5 Anthropic	$0.021688 (rounded ~ $0.02)	↓ 75% cheaper	↓ 48.7% cheaper
#13	Gemini 3.1 Flash Google	$0.025438 (rounded ~ $0.03)	↓ 70.7% cheaper	↓ 39.9% cheaper
#14	Grok 4.3 xAI	$0.041750 (rounded ~ $0.04)	↓ 51.9% cheaper	↓ 1.3% cheaper
#15	Grok 4.20 Beta xAI	$0.041750 (rounded ~ $0.04)	↓ 51.9% cheaper	↓ 1.3% cheaper
#16	Claude Sonnet 5.5 Anthropic	$0.042313 (rounded ~ $0.04)	↓ 51.2% cheaper	Same price
#17	Claude Sonnet 5 Anthropic	$0.043375 (rounded ~ $0.04)	↓ 50% cheaper	↑ 2.5% more
#18	Gemini 4 Argon Google	$0.043375 (rounded ~ $0.04)	↓ 50% cheaper	↑ 2.5% more
#19	GPT-5.6 Terra OpenAI	$0.050875	↓ 41.4% cheaper	↑ 20.2% more
#20	GPT-5.3 Codex Spark OpenAI	$0.057641 (rounded ~ $0.06)	↓ 33.6% cheaper	↑ 36.2% more
#21	GPT-5.3 Instant OpenAI	$0.057641 (rounded ~ $0.06)	↓ 33.6% cheaper	↑ 36.2% more
#22	Claude Sonnet 4.6 Anthropic	$0.065063 (rounded ~ $0.07)	↓ 25% cheaper	↑ 53.8% more
#23	Gemini 2.5 Pro Google	$0.082344 (rounded ~ $0.08)	↓ 5.1% cheaper	↑ 94.6% more
#24	Claude Opus 5.5 Anthropic	$0.084625 (rounded ~ $0.08)	↓ 2.4% cheaper	↑ 100% more
#25	GPT-6 Sol OpenAI	$0.086750 (rounded ~ $0.09)	Same price	↑ 105% more
#26	GPT-5.6 Sol OpenAI	$0.086750 (rounded ~ $0.09)	Same price	↑ 105% more
#27	Gemini 3.1 Pro Google	$0.101750 (rounded ~ $0.10)	↑ 17.3% more	↑ 140.5% more
#28	Claude Opus 4.7 Anthropic	$0.108438 (rounded ~ $0.11)	↑ 25% more	↑ 156.3% more
#29	Claude Opus 5 Anthropic	$0.108438 (rounded ~ $0.11)	↑ 25% more	↑ 156.3% more
#30	Claude Opus 4.8 Anthropic	$0.108438 (rounded ~ $0.11)	↑ 25% more	↑ 156.3% more
#31	Claude Opus 4.6 Anthropic	$0.108438 (rounded ~ $0.11)	↑ 25% more	↑ 156.3% more
#32	GPT-5.4 OpenAI	$0.127188 (rounded ~ $0.13)	↑ 46.6% more	↑ 200.6% more
#33	GPT-5.4 Thinking OpenAI	$0.127188 (rounded ~ $0.13)	↑ 46.6% more	↑ 200.6% more
#34	GPT-5.5 Instant OpenAI	$0.127188 (rounded ~ $0.13)	↑ 46.6% more	↑ 200.6% more
#35	Claude Fable 5.1 Anthropic	$0.208906 (rounded ~ $0.21)	↑ 140.8% more	↑ 393.7% more
#36	Claude Mythos 5.1 Anthropic	$0.208906 (rounded ~ $0.21)	↑ 140.8% more	↑ 393.7% more
#37	Claude Fable 5 Anthropic	$0.216875 (rounded ~ $0.22)	↑ 150% more	↑ 412.6% more
#38	Claude Mythos 5 Anthropic	$0.216875 (rounded ~ $0.22)	↑ 150% more	↑ 412.6% more
#39	GPT-5.5 OpenAI	$0.254375 (rounded ~ $0.25)	↑ 193.2% more	↑ 501.2% more
#40	GPT-6 Astra OpenAI	$0.433750 (rounded ~ $0.43)	↑ 400% more	↑ 925.1% more
#41	GPT-5.2 Pro OpenAI	$0.691688 (rounded ~ $0.69)	↑ 697.3% more	↑ 1534.7% more
#42	GPT-5.2 Pro OpenAI	$0.691688 (rounded ~ $0.69)	↑ 697.3% more	↑ 1534.7% more

🏆

Claude Haiku 5.5
Anthropic

$0.004338

vs GPT-6.1 Sol: ↓ 95%

vs Claude Sonnet 5.5: ↓ 89.7%

🥈

GPT-6 Luna
OpenAI

$0.004338

vs GPT-6.1 Sol: ↓ 95%

vs Claude Sonnet 5.5: ↓ 89.7%

🥉

GPT-5.6 Luna
OpenAI

$0.005088 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 94.1%

vs Claude Sonnet 5.5: ↓ 88%

Gemini 3.1 Flash Lite
Google

$0.006359 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 92.7%

vs Claude Sonnet 5.5: ↓ 85%

Mistral Large 3
Mistral AI

$0.007094 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 91.8%

vs Claude Sonnet 5.5: ↓ 83.2%

Gemini 3.5 Flash-Lite
Google

$0.010256

vs GPT-6.1 Sol: ↓ 88.2%

vs Claude Sonnet 5.5: ↓ 75.8%

Gemini 2.5 Flash
Google

$0.010256

vs GPT-6.1 Sol: ↓ 88.2%

vs Claude Sonnet 5.5: ↓ 75.8%

Gemini 3.8 Flash
Google

$0.016266 (rounded ~ $0.02)

vs GPT-6.1 Sol: ↓ 81.3%

vs Claude Sonnet 5.5: ↓ 61.6%

Gemini 3.6 Flash
Google

$0.016266 (rounded ~ $0.02)

vs GPT-6.1 Sol: ↓ 81.3%

vs Claude Sonnet 5.5: ↓ 61.6%

#10

GPT-5.4 mini
OpenAI

$0.019078

vs GPT-6.1 Sol: ↓ 78%

vs Claude Sonnet 5.5: ↓ 54.9%

#11

Mistral Large 4
Mistral AI

$0.019670

vs GPT-6.1 Sol: ↓ 77.3%

vs Claude Sonnet 5.5: ↓ 53.5%

#12

Claude Haiku 4.5
Anthropic

$0.021688 (rounded ~ $0.02)

vs GPT-6.1 Sol: ↓ 75%

vs Claude Sonnet 5.5: ↓ 48.7%

#13

Gemini 3.1 Flash
Google

$0.025438 (rounded ~ $0.03)

vs GPT-6.1 Sol: ↓ 70.7%

vs Claude Sonnet 5.5: ↓ 39.9%

#14

Grok 4.3
xAI

$0.041750 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 51.9%

vs Claude Sonnet 5.5: ↓ 1.3%

#15

Grok 4.20 Beta
xAI

$0.041750 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 51.9%

vs Claude Sonnet 5.5: ↓ 1.3%

#16

Claude Sonnet 5.5
Anthropic

$0.042313 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 51.2%

vs Claude Sonnet 5.5: Same

#17

Claude Sonnet 5
Anthropic

$0.043375 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 50%

vs Claude Sonnet 5.5: ↑ 2.5%

#18

Gemini 4 Argon
Google

$0.043375 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 50%

vs Claude Sonnet 5.5: ↑ 2.5%

#19

GPT-5.6 Terra
OpenAI

$0.050875

vs GPT-6.1 Sol: ↓ 41.4%

vs Claude Sonnet 5.5: ↑ 20.2%

#20

GPT-5.3 Codex Spark
OpenAI

$0.057641 (rounded ~ $0.06)

vs GPT-6.1 Sol: ↓ 33.6%

vs Claude Sonnet 5.5: ↑ 36.2%

#21

GPT-5.3 Instant
OpenAI

$0.057641 (rounded ~ $0.06)

vs GPT-6.1 Sol: ↓ 33.6%

vs Claude Sonnet 5.5: ↑ 36.2%

#22

Claude Sonnet 4.6
Anthropic

$0.065063 (rounded ~ $0.07)

vs GPT-6.1 Sol: ↓ 25%

vs Claude Sonnet 5.5: ↑ 53.8%

#23

Gemini 2.5 Pro
Google

$0.082344 (rounded ~ $0.08)

vs GPT-6.1 Sol: ↓ 5.1%

vs Claude Sonnet 5.5: ↑ 94.6%

#24

Claude Opus 5.5
Anthropic

$0.084625 (rounded ~ $0.08)

vs GPT-6.1 Sol: ↓ 2.4%

vs Claude Sonnet 5.5: ↑ 100%

#25

GPT-6 Sol
OpenAI

$0.086750 (rounded ~ $0.09)

vs GPT-6.1 Sol: Same

vs Claude Sonnet 5.5: ↑ 105%

#26

GPT-5.6 Sol
OpenAI

$0.086750 (rounded ~ $0.09)

vs GPT-6.1 Sol: Same

vs Claude Sonnet 5.5: ↑ 105%

#27

Gemini 3.1 Pro
Google

$0.101750 (rounded ~ $0.10)

vs GPT-6.1 Sol: ↑ 17.3%

vs Claude Sonnet 5.5: ↑ 140.5%

#28

Claude Opus 4.7
Anthropic

$0.108438 (rounded ~ $0.11)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Sonnet 5.5: ↑ 156.3%

#29

Claude Opus 5
Anthropic

$0.108438 (rounded ~ $0.11)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Sonnet 5.5: ↑ 156.3%

#30

Claude Opus 4.8
Anthropic

$0.108438 (rounded ~ $0.11)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Sonnet 5.5: ↑ 156.3%

#31

Claude Opus 4.6
Anthropic

$0.108438 (rounded ~ $0.11)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Sonnet 5.5: ↑ 156.3%

#32

GPT-5.4
OpenAI

$0.127188 (rounded ~ $0.13)

vs GPT-6.1 Sol: ↑ 46.6%

vs Claude Sonnet 5.5: ↑ 200.6%

#33

GPT-5.4 Thinking
OpenAI

$0.127188 (rounded ~ $0.13)

vs GPT-6.1 Sol: ↑ 46.6%

vs Claude Sonnet 5.5: ↑ 200.6%

#34

GPT-5.5 Instant
OpenAI

$0.127188 (rounded ~ $0.13)

vs GPT-6.1 Sol: ↑ 46.6%

vs Claude Sonnet 5.5: ↑ 200.6%

#35

Claude Fable 5.1
Anthropic

$0.208906 (rounded ~ $0.21)

vs GPT-6.1 Sol: ↑ 140.8%

vs Claude Sonnet 5.5: ↑ 393.7%

#36

Claude Mythos 5.1
Anthropic

$0.208906 (rounded ~ $0.21)

vs GPT-6.1 Sol: ↑ 140.8%

vs Claude Sonnet 5.5: ↑ 393.7%

#37

Claude Fable 5
Anthropic

$0.216875 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 150%

vs Claude Sonnet 5.5: ↑ 412.6%

#38

Claude Mythos 5
Anthropic

$0.216875 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 150%

vs Claude Sonnet 5.5: ↑ 412.6%

#39

GPT-5.5
OpenAI

$0.254375 (rounded ~ $0.25)

vs GPT-6.1 Sol: ↑ 193.2%

vs Claude Sonnet 5.5: ↑ 501.2%

#40

GPT-6 Astra
OpenAI

$0.433750 (rounded ~ $0.43)

vs GPT-6.1 Sol: ↑ 400%

vs Claude Sonnet 5.5: ↑ 925.1%

#41

GPT-5.2 Pro
OpenAI

$0.691688 (rounded ~ $0.69)

vs GPT-6.1 Sol: ↑ 697.3%

vs Claude Sonnet 5.5: ↑ 1534.7%

#42

GPT-5.2 Pro
OpenAI

$0.691688 (rounded ~ $0.69)

vs GPT-6.1 Sol: ↑ 697.3%

vs Claude Sonnet 5.5: ↑ 1534.7%

✨ 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.

Scientific research workflows, particularly those involving large-scale literature review and paper drafting, demand models capable of maintaining deep, consistent reasoning over long contexts. Choosing between GPT-6.1 Sol and Claude Sonnet 5.5 depends heavily on your team’s specific requirements for accuracy, factual grounding, and integration style. GPT-6.1 Sol has demonstrated significant strengths in factual accuracy and complex reasoning, which is critical when drafting segments that require precise citations or synthesizing conflicting findings from a vast corpus. Its reasoning capabilities often shine in scenarios where the model needs to evaluate nuance in technical arguments, making it a reliable choice for drafting high-stakes manuscript sections.

Claude Sonnet 5.5, conversely, is frequently highlighted for its efficiency and speed, which can be an advantage when iterating on multiple drafts or when working within strict latency requirements. It excels at adhering to complex, multi-step instructions, which is beneficial when applying specific formatting rubrics or stylistic constraints common in academic writing. For teams that prioritize rapid prototyping and structured output, Claude often provides a smoother development experience. When evaluating these models for a 65K-token research workflow, consider the trade-offs between GPT-6.1 Sol’s depth of reasoning and Claude’s operational speed. Both models offer the necessary context window to handle substantial literature review segments in a single pass, but their distinct strengths in critical analysis versus structured execution will dictate their fit for your specific research pipeline.

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-6.1 Sol vs Claude Sonnet 5.5 for Scientific Research: 65K-Token Paper Drafting

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-6.1 Sol

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-6.1 Sol 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?

Claude Sonnet 5.5 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?

✨ 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

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

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 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

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