Claude Sonnet 5.5 vs GPT-6 Sol for Scientific Literature Review at 50K Tokens

Claude Sonnet 5.5 vs GPT-6 Sol
Complete Comparison: 50,000 input tokens × 15,000 output tokens
Comparison Mode
⚡ 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 Sonnet 5.5
Anthropic
GPT-6 Sol
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 50,000 50,000
Output Tokens 15,000 15,000
Cost Breakdown
Input Cost $0.025000 (rounded ~ $0.03)Best $0.050000Worst
Output Cost $0.037500 (rounded ~ $0.04)Best $0.075000 (rounded ~ $0.08)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.050625 Best Value $0.102500 (rounded ~ $0.10) Most Expensive
Processing Time 3 minutes, 52.01 seconds Fastest 8 minutes, 51.10 seconds Slowest
Tokens per Second 300Fastest 131Slowest
Time to First Token 300ms Best 340ms Worst
Cost per 1K tokens $0.000779Best $0.001577Worst
Tokens per Dollar 1,283,951Best Value 634,146Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $1.000000Worst
Output Cost / 1M (Base) $2.500000Best $5.000000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$0.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$2.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Sonnet 5.5

AnthropicMax Context: 1,000,000 tokens
$2 / $10 per 1M tokens
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.012500 Input Cost
$0.037500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.000779Cost per 1K
1,283,951Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

3m 52s Processing Time
300 Tokens/Second
300ms Time to First Token
280 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization

Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking

Manual thinking tokens (billed at output rate)

🔧 Special Modes


📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Claude Sonnet 5.5 Anthropic 1000000

$0.050625
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
✓ 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 $0.050625 Input: $0.025000 (rounded ~ $0.03)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011875 (rounded ~ $0.01) 19.0% 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: $0.050625
  • Cost per 1K tokens: $0.000779
  • Tokens per dollar: 1,283,951 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

Choose Claude Sonnet 5.5 for polishedstructured drafting. Choose GPT-6 Sol for analytical heavy lifting and complex reasoning across research datasets.

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.

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GPT-6 Sol OpenAI 1050000

$0.102500 (rounded ~ $0.10)
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
✓ 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 $0.102500 (rounded ~ $0.10) Input: $0.050000
Output: $0.075000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.022500 (rounded ~ $0.02) 18.0% 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: $0.102500 (rounded ~ $0.10)
  • Cost per 1K tokens: $0.001577
  • Tokens per dollar: 634,146 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 131 tokens per second and 340ms time to first token:

  • Processing Time: 8 minutes, 51.10 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 122 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Sonnet 5.5 for polishedstructured drafting. Choose GPT-6 Sol for analytical heavy lifting and complex reasoning across research datasets.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5 vs GPT-6 Sol
🏆 Claude Haiku 5.5
Anthropic
$0.005125 (rounded ~ $0.01) Best Value ↓ 89.9% cheaper ↓ 95% cheaper
🥈 GPT-6 Luna
OpenAI
$0.005125 (rounded ~ $0.01) ↓ 89.9% cheaper ↓ 95% cheaper
🥉 GPT-5.6 Luna
OpenAI
$0.005875 (rounded ~ $0.01) ↓ 88.4% cheaper ↓ 94.3% cheaper
#4 Gemini 3.1 Flash Lite
Google
$0.007344 (rounded ~ $0.01) ↓ 85.5% cheaper ↓ 92.8% cheaper
#5 Mistral Large 3
Mistral AI
$0.009063 ↓ 82.1% cheaper ↓ 91.2% cheaper
#6 Gemini 3.5 Flash-Lite
Google
$0.011438 (rounded ~ $0.01) ↓ 77.4% cheaper ↓ 88.8% cheaper
#7 Gemini 2.5 Flash
Google
$0.011438 (rounded ~ $0.01) ↓ 77.4% cheaper ↓ 88.8% cheaper
#8 Gemini 3.8 Flash
Google
$0.019219 ↓ 62% cheaper ↓ 81.3% cheaper
#9 Gemini 3.6 Flash
Google
$0.019219 ↓ 62% cheaper ↓ 81.3% cheaper
#10 GPT-5.4 mini
OpenAI
$0.022031 (rounded ~ $0.02) ↓ 56.5% cheaper ↓ 78.5% cheaper
#11 Mistral Large 4
Mistral AI
$0.025025 (rounded ~ $0.03) ↓ 50.6% cheaper ↓ 75.6% cheaper
#12 Claude Haiku 4.5
Anthropic
$0.025625 (rounded ~ $0.03) ↓ 49.4% cheaper ↓ 75% cheaper
#13 Gemini 3.1 Flash
Google
$0.029375 ↓ 42% cheaper ↓ 71.3% cheaper
#14 Gemini 4 Argon
Google
$0.051250 (rounded ~ $0.05) ↑ 1.2% more ↓ 50% cheaper
#15 Claude Sonnet 5
Anthropic
$0.051250 (rounded ~ $0.05) ↑ 1.2% more ↓ 50% cheaper
#16 Grok 4.3
xAI
$0.057500 (rounded ~ $0.06) ↑ 13.6% more ↓ 43.9% cheaper
#17 Grok 4.20 Beta
xAI
$0.057500 (rounded ~ $0.06) ↑ 13.6% more ↓ 43.9% cheaper
#18 GPT-5.6 Terra
OpenAI
$0.058750 (rounded ~ $0.06) ↑ 16% more ↓ 42.7% cheaper
#19 GPT-5.3 Codex Spark
OpenAI
$0.064531 (rounded ~ $0.06) ↑ 27.5% more ↓ 37% cheaper
#20 GPT-5.3 Instant
OpenAI
$0.064531 (rounded ~ $0.06) ↑ 27.5% more ↓ 37% cheaper
#21 Claude Sonnet 4.6
Anthropic
$0.076875 (rounded ~ $0.08) ↑ 51.9% more ↓ 25% cheaper
#22 Gemini 2.5 Pro
Google
$0.092188 (rounded ~ $0.09) ↑ 82.1% more ↓ 10.1% cheaper
#23 Claude Opus 5.5
Anthropic
$0.101250 (rounded ~ $0.10) ↑ 100% more ↓ 1.2% cheaper
#24 GPT-6.1 Sol
OpenAI
$0.102500 (rounded ~ $0.10) ↑ 102.5% more Same price
#25 GPT-6 Sol
OpenAI
$0.102500 (rounded ~ $0.10) ↑ 102.5% more Same price
#26 GPT-5.6 Sol
OpenAI
$0.102500 (rounded ~ $0.10) ↑ 102.5% more Same price
#27 Gemini 3.1 Pro
Google
$0.117500 (rounded ~ $0.12) ↑ 132.1% more ↑ 14.6% more
#28 Claude Opus 4.7
Anthropic
$0.128125 (rounded ~ $0.13) ↑ 153.1% more ↑ 25% more
#29 Claude Opus 5
Anthropic
$0.128125 (rounded ~ $0.13) ↑ 153.1% more ↑ 25% more
#30 Claude Opus 4.8
Anthropic
$0.128125 (rounded ~ $0.13) ↑ 153.1% more ↑ 25% more
#31 Claude Opus 4.6
Anthropic
$0.128125 (rounded ~ $0.13) ↑ 153.1% more ↑ 25% more
#32 GPT-5.4
OpenAI
$0.146875 (rounded ~ $0.15) ↑ 190.1% more ↑ 43.3% more
#33 GPT-5.4 Thinking
OpenAI
$0.146875 (rounded ~ $0.15) ↑ 190.1% more ↑ 43.3% more
#34 GPT-5.5 Instant
OpenAI
$0.146875 (rounded ~ $0.15) ↑ 190.1% more ↑ 43.3% more
#35 Claude Fable 5.1
Anthropic
$0.251563 (rounded ~ $0.25) ↑ 396.9% more ↑ 145.4% more
#36 Claude Mythos 5.1
Anthropic
$0.251563 (rounded ~ $0.25) ↑ 396.9% more ↑ 145.4% more
#37 Claude Fable 5
Anthropic
$0.256250 (rounded ~ $0.26) ↑ 406.2% more ↑ 150% more
#38 Claude Mythos 5
Anthropic
$0.256250 (rounded ~ $0.26) ↑ 406.2% more ↑ 150% more
#39 GPT-5.5
OpenAI
$0.293750 (rounded ~ $0.29) ↑ 480.2% more ↑ 186.6% more
#40 GPT-6 Astra
OpenAI
$0.512500 (rounded ~ $0.51) ↑ 912.3% more ↑ 400% more
#41 GPT-5.2 Pro
OpenAI
$0.774375 (rounded ~ $0.77) ↑ 1429.6% more ↑ 655.5% more
#42 GPT-5.2 Pro
OpenAI
$0.774375 (rounded ~ $0.77) ↑ 1429.6% more ↑ 655.5% more
🏆

Claude Haiku 5.5
Anthropic

$0.005125 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 89.9%
vs GPT-6 Sol: ↓ 95%
🥈

GPT-6 Luna
OpenAI

$0.005125 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 89.9%
vs GPT-6 Sol: ↓ 95%
🥉

GPT-5.6 Luna
OpenAI

$0.005875 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 88.4%
vs GPT-6 Sol: ↓ 94.3%
#4

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 85.5%
vs GPT-6 Sol: ↓ 92.8%
#5

Mistral Large 3
Mistral AI

$0.009063
vs Claude Sonnet 5.5: ↓ 82.1%
vs GPT-6 Sol: ↓ 91.2%
#6

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 77.4%
vs GPT-6 Sol: ↓ 88.8%
#7

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 77.4%
vs GPT-6 Sol: ↓ 88.8%
#8

Gemini 3.8 Flash
Google

$0.019219
vs Claude Sonnet 5.5: ↓ 62%
vs GPT-6 Sol: ↓ 81.3%
#9

Gemini 3.6 Flash
Google

$0.019219
vs Claude Sonnet 5.5: ↓ 62%
vs GPT-6 Sol: ↓ 81.3%
#10

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 56.5%
vs GPT-6 Sol: ↓ 78.5%
#11

Mistral Large 4
Mistral AI

$0.025025 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↓ 50.6%
vs GPT-6 Sol: ↓ 75.6%
#12

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↓ 49.4%
vs GPT-6 Sol: ↓ 75%
#13

Gemini 3.1 Flash
Google

$0.029375
vs Claude Sonnet 5.5: ↓ 42%
vs GPT-6 Sol: ↓ 71.3%
#14

Gemini 4 Argon
Google

$0.051250 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 1.2%
vs GPT-6 Sol: ↓ 50%
#15

Claude Sonnet 5
Anthropic

$0.051250 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 1.2%
vs GPT-6 Sol: ↓ 50%
#16

Grok 4.3
xAI

$0.057500 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 13.6%
vs GPT-6 Sol: ↓ 43.9%
#17

Grok 4.20 Beta
xAI

$0.057500 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 13.6%
vs GPT-6 Sol: ↓ 43.9%
#18

GPT-5.6 Terra
OpenAI

$0.058750 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 16%
vs GPT-6 Sol: ↓ 42.7%
#19

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 27.5%
vs GPT-6 Sol: ↓ 37%
#20

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 27.5%
vs GPT-6 Sol: ↓ 37%
#21

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 51.9%
vs GPT-6 Sol: ↓ 25%
#22

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)
vs Claude Sonnet 5.5: ↑ 82.1%
vs GPT-6 Sol: ↓ 10.1%
#23

Claude Opus 5.5
Anthropic

$0.101250 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 100%
vs GPT-6 Sol: ↓ 1.2%
#24

GPT-6.1 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 102.5%
vs GPT-6 Sol: Same
#25

GPT-6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 102.5%
vs GPT-6 Sol: Same
#26

GPT-5.6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↑ 102.5%
vs GPT-6 Sol: Same
#27

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)
vs Claude Sonnet 5.5: ↑ 132.1%
vs GPT-6 Sol: ↑ 14.6%
#28

Claude Opus 4.7
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Sonnet 5.5: ↑ 153.1%
vs GPT-6 Sol: ↑ 25%
#29

Claude Opus 5
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Sonnet 5.5: ↑ 153.1%
vs GPT-6 Sol: ↑ 25%
#30

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Sonnet 5.5: ↑ 153.1%
vs GPT-6 Sol: ↑ 25%
#31

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Sonnet 5.5: ↑ 153.1%
vs GPT-6 Sol: ↑ 25%
#32

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↑ 190.1%
vs GPT-6 Sol: ↑ 43.3%
#33

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↑ 190.1%
vs GPT-6 Sol: ↑ 43.3%
#34

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↑ 190.1%
vs GPT-6 Sol: ↑ 43.3%
#35

Claude Fable 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs Claude Sonnet 5.5: ↑ 396.9%
vs GPT-6 Sol: ↑ 145.4%
#36

Claude Mythos 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs Claude Sonnet 5.5: ↑ 396.9%
vs GPT-6 Sol: ↑ 145.4%
#37

Claude Fable 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs Claude Sonnet 5.5: ↑ 406.2%
vs GPT-6 Sol: ↑ 150%
#38

Claude Mythos 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs Claude Sonnet 5.5: ↑ 406.2%
vs GPT-6 Sol: ↑ 150%
#39

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)
vs Claude Sonnet 5.5: ↑ 480.2%
vs GPT-6 Sol: ↑ 186.6%
#40

GPT-6 Astra
OpenAI

$0.512500 (rounded ~ $0.51)
vs Claude Sonnet 5.5: ↑ 912.3%
vs GPT-6 Sol: ↑ 400%
#41

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Claude Sonnet 5.5: ↑ 1429.6%
vs GPT-6 Sol: ↑ 655.5%
#42

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Claude Sonnet 5.5: ↑ 1429.6%
vs GPT-6 Sol: ↑ 655.5%
✨ 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.

Scientific literature review and drafting require a delicate balance of deep reasoning, precise synthesis, and the ability to maintain factual accuracy across long-context documents. For research teams, the choice between Claude Sonnet 5.5 and GPT-6 Sol often comes down to the specific nature of the workflow.

Claude Sonnet 5.5 is highly regarded for its writing nuance and clarity. When drafting technical papers, it excels at maintaining a consistent, scholarly tone and structuring complex arguments in a way that is ready for peer review. It performs exceptionally well when tasked with synthesizing findings from multiple papers into a cohesive narrative, making it a strong partner for the drafting phase of a research project.

GPT-6 Sol, by contrast, brings a more analytical edge to the research process. It is particularly effective at identifying subtle connections between disparate datasets or theoretical frameworks, which is crucial during the literature review stage. If your workflow involves deep, multi-step chain-of-thought processing to extract insights from raw research notes or complex experimental summaries, this model often provides the analytical rigor needed to ensure your underlying argument is robust.

Ultimately, both models handle the 50K-token scale with ease. If your primary goal is prose quality and structural coherence, Claude Sonnet 5.5 is often the preferred choice. For intensive, logic-heavy review and hypothesis generation, GPT-6 Sol stands out. Evaluating both against your specific document corpus can help determine which model better aligns with your team’s research speed and output requirements.

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.