Claude Opus 4.7 vs GPT-5.4 Thinking for 100K-Token Multi-Agent Localization

Claude Opus 4.7 vs GPT-5.4 Thinking
Complete Comparison: 100,000 input tokens × 2,000 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 Opus 4.7
Anthropic
GPT-5.4 Thinking
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13) $0.125000 (rounded ~ $0.13)
Output Cost $0.012500 (rounded ~ $0.01)Best $0.015000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.081250 (rounded ~ $0.08) Best Value $0.083750 (rounded ~ $0.08) Most Expensive
Processing Time 6 minutes, 59.95 seconds Slowest 4 minutes, 33.03 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000797Best $0.000821Worst
Tokens per Dollar 1,255,385Best Value 1,217,910Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000 $1.250000
Output Cost / 1M (Base) $6.250000Best $7.500000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$3.750000Worst
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
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
Use Batch API (50% discount)
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

$0.062500 Input Cost
$0.012500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000797Cost per 1K
1,255,385Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 59s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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
Enable 6.0x Fast Mode multiplier

📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
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 Opus 4.7 Anthropic 1000000

$0.081250 (rounded ~ $0.08)
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) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.081250 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 40.9% 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 2,000 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.081250 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000797
  • Tokens per dollar: 1,255,385 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 6 minutes, 59.95 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-quality creative localization and GPT-5.4 Thinking for technical documentation requiring self-correction and reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. 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 Thinking OpenAI 1024000

$0.083750 (rounded ~ $0.08)
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) $0.140000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.083750 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 40.2% 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: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.083750 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000821
  • Tokens per dollar: 1,217,910 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 4 minutes, 33.03 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-quality creative localization and GPT-5.4 Thinking for technical documentation requiring self-correction and reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Thinking. 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 Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.4 Thinking
🏆 Mistral Small 3
Mistral AI
$0.001525 Best Value ↓ 98.1% cheaper ↓ 98.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.004188 ↓ 94.8% cheaper ↓ 95% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.005375 (rounded ~ $0.01) ↓ 93.4% cheaper ↓ 93.6% cheaper
#4 Gemini 2.5 Flash
Google
$0.005375 (rounded ~ $0.01) ↓ 93.4% cheaper ↓ 93.6% cheaper
#5 Mistral Large 3
Mistral AI
$0.007625 (rounded ~ $0.01) ↓ 90.6% cheaper ↓ 90.9% cheaper
#6 Gemini 3.8 Flash
Google
$0.012188 (rounded ~ $0.01) ↓ 85% cheaper ↓ 85.4% cheaper
#7 GPT-5.4 mini
OpenAI
$0.012563 (rounded ~ $0.01) ↓ 84.5% cheaper ↓ 85% cheaper
#8 o4-mini Deep Research
OpenAI
$0.015750 (rounded ~ $0.02) ↓ 80.6% cheaper ↓ 81.2% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.016250 (rounded ~ $0.02) ↓ 80% cheaper ↓ 80.6% cheaper
#10 Gemini 3.1 Flash
Google
$0.016750 (rounded ~ $0.02) ↓ 79.4% cheaper ↓ 80% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.016750 (rounded ~ $0.02) ↓ 79.4% cheaper ↓ 80% cheaper
#12 o4-mini
OpenAI
$0.017325 (rounded ~ $0.02) ↓ 78.7% cheaper ↓ 79.3% cheaper
#13 Gemini 3.6 Flash
Google
$0.024375 (rounded ~ $0.02) ↓ 70% cheaper ↓ 70.9% cheaper
#14 Gemini 3.5 Flash
Google
$0.025125 (rounded ~ $0.03) ↓ 69.1% cheaper ↓ 70% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 61.8% cheaper ↓ 62.9% cheaper
#16 GPT-5.3 Instant
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 61.8% cheaper ↓ 62.9% cheaper
#17 Claude Sonnet 5
Anthropic
$0.032500 (rounded ~ $0.03) ↓ 60% cheaper ↓ 61.2% cheaper
#18 GPT-5.6 Terra
OpenAI
$0.041875 (rounded ~ $0.04) ↓ 48.5% cheaper ↓ 50% cheaper
#19 Gemini 2.5 Pro
Google
$0.044375 (rounded ~ $0.04) ↓ 45.4% cheaper ↓ 47% cheaper
#20 Claude Sonnet 4.6
Anthropic
$0.048750 (rounded ~ $0.05) ↓ 40% cheaper ↓ 41.8% cheaper
#21 Grok 4.3
xAI
$0.059000 (rounded ~ $0.06) ↓ 27.4% cheaper ↓ 29.6% cheaper
#22 Grok 4.20 Beta
xAI
$0.059000 (rounded ~ $0.06) ↓ 27.4% cheaper ↓ 29.6% cheaper
#23 Gemini 3.1 Pro
Google
$0.067000 (rounded ~ $0.07) ↓ 17.5% cheaper ↓ 20% cheaper
#24 Claude Opus 5
Anthropic
$0.081250 (rounded ~ $0.08) Same price ↓ 3% cheaper
#25 Claude Opus 4.8
Anthropic
$0.081250 (rounded ~ $0.08) Same price ↓ 3% cheaper
#26 Claude Opus 4.6
Anthropic
$0.081250 (rounded ~ $0.08) Same price ↓ 3% cheaper
#27 GPT-5.4
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 3.1% more Same price
#28 GPT-5.4 Thinking
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 3.1% more Same price
#29 GPT-5.5 Instant
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 3.1% more Same price
#30 GPT-5.6 Sol
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 3.1% more Same price
#31 Claude Fable 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 88.5% more ↑ 82.8% more
#32 Claude Mythos 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 88.5% more ↑ 82.8% more
#33 o3 Deep Research
OpenAI
$0.157500 (rounded ~ $0.16) ↑ 93.8% more ↑ 88.1% more
#34 Claude Fable 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 100% more ↑ 94% more
#35 Claude Mythos 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 100% more ↑ 94% more
#36 GPT-5.5
OpenAI
$0.167500 (rounded ~ $0.17) ↑ 106.2% more ↑ 100% more
#37 o3 Pro
OpenAI
$0.315000 (rounded ~ $0.32) ↑ 287.7% more ↑ 276.1% more
#38 GPT-6 Astra
OpenAI
$0.325000 (rounded ~ $0.33) ↑ 300% more ↑ 288.1% more
#39 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 358.8% more ↑ 345.1% more
#40 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 358.8% more ↑ 345.1% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Claude Opus 4.7: ↓ 98.1%
vs GPT-5.4 Thinking: ↓ 98.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Opus 4.7: ↓ 94.8%
vs GPT-5.4 Thinking: ↓ 95%
🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 93.4%
vs GPT-5.4 Thinking: ↓ 93.6%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 93.4%
vs GPT-5.4 Thinking: ↓ 93.6%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 90.6%
vs GPT-5.4 Thinking: ↓ 90.9%
#6

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.4 Thinking: ↓ 85.4%
#7

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 84.5%
vs GPT-5.4 Thinking: ↓ 85%
#8

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 80.6%
vs GPT-5.4 Thinking: ↓ 81.2%
#9

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 80%
vs GPT-5.4 Thinking: ↓ 80.6%
#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 79.4%
vs GPT-5.4 Thinking: ↓ 80%
#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 79.4%
vs GPT-5.4 Thinking: ↓ 80%
#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 78.7%
vs GPT-5.4 Thinking: ↓ 79.3%
#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.4 Thinking: ↓ 70.9%
#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 69.1%
vs GPT-5.4 Thinking: ↓ 70%
#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 61.8%
vs GPT-5.4 Thinking: ↓ 62.9%
#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 61.8%
vs GPT-5.4 Thinking: ↓ 62.9%
#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.4 Thinking: ↓ 61.2%
#18

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 48.5%
vs GPT-5.4 Thinking: ↓ 50%
#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 45.4%
vs GPT-5.4 Thinking: ↓ 47%
#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.4 Thinking: ↓ 41.8%
#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 27.4%
vs GPT-5.4 Thinking: ↓ 29.6%
#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 27.4%
vs GPT-5.4 Thinking: ↓ 29.6%
#23

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Opus 4.7: ↓ 17.5%
vs GPT-5.4 Thinking: ↓ 20%
#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Opus 4.7: Same
vs GPT-5.4 Thinking: ↓ 3%
#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Opus 4.7: Same
vs GPT-5.4 Thinking: ↓ 3%
#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Opus 4.7: Same
vs GPT-5.4 Thinking: ↓ 3%
#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 3.1%
vs GPT-5.4 Thinking: Same
#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 3.1%
vs GPT-5.4 Thinking: Same
#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 3.1%
vs GPT-5.4 Thinking: Same
#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.7: ↑ 3.1%
vs GPT-5.4 Thinking: Same
#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 88.5%
vs GPT-5.4 Thinking: ↑ 82.8%
#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 88.5%
vs GPT-5.4 Thinking: ↑ 82.8%
#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Claude Opus 4.7: ↑ 93.8%
vs GPT-5.4 Thinking: ↑ 88.1%
#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.4 Thinking: ↑ 94%
#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.4 Thinking: ↑ 94%
#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Opus 4.7: ↑ 106.2%
vs GPT-5.4 Thinking: ↑ 100%
#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Opus 4.7: ↑ 287.7%
vs GPT-5.4 Thinking: ↑ 276.1%
#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Claude Opus 4.7: ↑ 300%
vs GPT-5.4 Thinking: ↑ 288.1%
#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Opus 4.7: ↑ 358.8%
vs GPT-5.4 Thinking: ↑ 345.1%
#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Opus 4.7: ↑ 358.8%
vs GPT-5.4 Thinking: ↑ 345.1%
✨ 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.

Choosing Between Premium Reasoning and Agentic Thinking

For localization managers orchestrating complex translation pipelines, the choice between Claude Opus 4.7 and GPT-5.4 Thinking often boils down to how your agents handle context and multi-step decomposition. The orchestrator-worker pattern, where a central controller breaks down long-form documentation into smaller, culturally accurate segments, requires different strengths depending on your specific localization needs.

Claude Opus 4.7 excels in scenarios where nuanced, high-fidelity writing is non-negotiable. Its architecture is particularly well-suited for agents that need to maintain strict brand voice across multiple languages, acting as a reliable lead agent that maintains coherence in long-context documents. It is often the preferred choice for projects requiring deep linguistic intuition and fewer hallucinations during the synthesis phase of orchestration.

GPT-5.4 Thinking, by contrast, is optimized for complex reasoning tasks that involve heavy logical restructuring. If your localization workflow involves highly technical software strings or UI assets that require functional verification as part of the translation process, its advanced reasoning capabilities allow it to effectively “debug” its own output before hand-off to the next worker agent. While both models offer robust performance for 100K-token tasks, organizations prioritizing creative nuance typically gravitate toward Claude, whereas those managing highly structured, technical documentation may find better utility in the reasoning-first approach of GPT-5.4.

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.