Claude Sonnet 5.5 vs DeepSeek V4 Flash for 100K-Token Multi-Agent Orchestration

Claude Sonnet 5.5 vs DeepSeek V4 Flash
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 98% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 5.5
Anthropic
DeepSeek V4 Flash
DeepSeek
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.050000Worst $0.015000 (rounded ~ $0.02)Best
Output Cost $0.005000 (rounded ~ $0.01)Worst $0.001200Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.031250 (rounded ~ $0.03) Most Expensive $0.008850 (rounded ~ $0.01) Best Value
Processing Time 5 minutes, 50.38 seconds Slowest 2 minutes, 41.81 seconds Fastest
Tokens per Second 300Slowest 650Fastest
Time to First Token 300ms Worst 95ms Best
Cost per 1K tokens $0.000306Worst $0.000087Best
Tokens per Dollar 3,264,000Worst Value 11,525,424Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.150000Best
Output Cost / 1M (Base) $2.500000Worst $0.600000Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.150000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.600000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✗ Not 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

$0.025000 Input Cost
$0.005000 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
$0.000306Cost per 1K
3,264,000Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

5m 50s Processing Time
300 Tokens/Second
300ms Time to First Token
291 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

$0.031250 (rounded ~ $0.03)
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) $0.055000 (rounded ~ $0.06) Input: $0.050000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.031250 (rounded ~ $0.03) Input: $0.050000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.023750 (rounded ~ $0.02) 43.2% 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: $0.050000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.031250 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000306
  • Tokens per dollar: 3,264,000 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: 5 minutes, 50.38 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 291 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5.5 for high-reasoning orchestration of complex archives and DeepSeek V4 Flash for rapidhigh-volume extraction of structured fields.

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 →

DeepSeek V4 Flash DeepSeek 1000000

$0.008850 (rounded ~ $0.01)
Total Cost
⚡ 50% 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 $0.008850 (rounded ~ $0.01) Input: $0.015000 (rounded ~ $0.02)
Output: $0.001200
Unit: $0.000000
Fees: $0.000000
Total Savings $0.007350 (rounded ~ $0.01) 45.4% 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: $0.008850 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000087
  • Tokens per dollar: 11,525,424 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, 41.81 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 631 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5.5 for high-reasoning orchestration of complex archives and DeepSeek V4 Flash for rapidhigh-volume extraction of structured fields.

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 Claude Sonnet 5.5
📋 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 Sonnet 5.5 vs DeepSeek V4 Flash
🏆 Claude Haiku 5.5
Anthropic
$0.003250 Best Value ↓ 89.6% cheaper ↓ 63.3% cheaper
🥈 GPT-6 Luna
OpenAI
$0.003250 ↓ 89.6% cheaper ↓ 63.3% cheaper
🥉 GPT-5.6 Luna
OpenAI
$0.003350 ↓ 89.3% cheaper ↓ 62.1% cheaper
#4 Gemini 3.1 Flash Lite
Google
$0.004188 ↓ 86.6% cheaper ↓ 52.7% cheaper
#5 Gemini 3.5 Flash-Lite
Google
$0.005375 (rounded ~ $0.01) ↓ 82.8% cheaper ↓ 39.3% cheaper
#6 Gemini 2.5 Flash
Google
$0.005375 (rounded ~ $0.01) ↓ 82.8% cheaper ↓ 39.3% cheaper
#7 Mistral Large 3
Mistral AI
$0.007625 (rounded ~ $0.01) ↓ 75.6% cheaper ↓ 13.8% cheaper
#8 Gemini 3.8 Flash
Google
$0.012188 (rounded ~ $0.01) ↓ 61% cheaper ↑ 37.7% more
#9 Gemini 3.6 Flash
Google
$0.012188 (rounded ~ $0.01) ↓ 61% cheaper ↑ 37.7% more
#10 GPT-5.4 mini
OpenAI
$0.012563 (rounded ~ $0.01) ↓ 59.8% cheaper ↑ 41.9% more
#11 Claude Haiku 4.5
Anthropic
$0.016250 (rounded ~ $0.02) ↓ 48% cheaper ↑ 83.6% more
#12 Gemini 3.1 Flash
Google
$0.016750 (rounded ~ $0.02) ↓ 46.4% cheaper ↑ 89.3% more
#13 Mistral Large 4
Mistral AI
$0.020790 ↓ 33.5% cheaper ↑ 134.9% more
#14 GPT-5.3 Codex Spark
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 0.6% cheaper ↑ 251% more
#15 GPT-5.3 Instant
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 0.6% cheaper ↑ 251% more
#16 Claude Sonnet 5
Anthropic
$0.032500 (rounded ~ $0.03) ↑ 4% more ↑ 267.2% more
#17 Gemini 4 Argon
Google
$0.032500 (rounded ~ $0.03) ↑ 4% more ↑ 267.2% more
#18 GPT-5.6 Terra
OpenAI
$0.033500 (rounded ~ $0.03) ↑ 7.2% more ↑ 278.5% more
#19 Gemini 2.5 Pro
Google
$0.044375 (rounded ~ $0.04) ↑ 42% more ↑ 401.4% more
#20 Claude Sonnet 4.6
Anthropic
$0.048750 (rounded ~ $0.05) ↑ 56% more ↑ 450.8% more
#21 Grok 4.3
xAI
$0.059000 (rounded ~ $0.06) ↑ 88.8% more ↑ 566.7% more
#22 Grok 4.20 Beta
xAI
$0.059000 (rounded ~ $0.06) ↑ 88.8% more ↑ 566.7% more
#23 Claude Opus 5.5
Anthropic
$0.062500 (rounded ~ $0.06) ↑ 100% more ↑ 606.2% more
#24 GPT-6.1 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 108% more ↑ 634.5% more
#25 GPT-6 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 108% more ↑ 634.5% more
#26 GPT-5.6 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 108% more ↑ 634.5% more
#27 Gemini 3.1 Pro
Google
$0.067000 (rounded ~ $0.07) ↑ 114.4% more ↑ 657.1% more
#28 Claude Opus 4.7
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 160% more ↑ 818.1% more
#29 Claude Opus 5
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 160% more ↑ 818.1% more
#30 Claude Opus 4.8
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 160% more ↑ 818.1% more
#31 Claude Opus 4.6
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 160% more ↑ 818.1% more
#32 GPT-5.4
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 168% more ↑ 846.3% more
#33 GPT-5.4 Thinking
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 168% more ↑ 846.3% more
#34 GPT-5.5 Instant
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 168% more ↑ 846.3% more
#35 Claude Fable 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 390% more ↑ 1630.2% more
#36 Claude Mythos 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 390% more ↑ 1630.2% more
#37 Claude Fable 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 420% more ↑ 1736.2% more
#38 Claude Mythos 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 420% more ↑ 1736.2% more
#39 GPT-5.5
OpenAI
$0.167500 (rounded ~ $0.17) ↑ 436% more ↑ 1792.7% more
#40 GPT-6 Astra
OpenAI
$0.325000 (rounded ~ $0.33) ↑ 940% more ↑ 3572.3% more
#41 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 1092.8% more ↑ 4111.9% more
#42 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 1092.8% more ↑ 4111.9% more
🏆

Claude Haiku 5.5
Anthropic

$0.003250
vs Claude Sonnet 5.5: ↓ 89.6%
vs DeepSeek V4 Flash: ↓ 63.3%
🥈

GPT-6 Luna
OpenAI

$0.003250
vs Claude Sonnet 5.5: ↓ 89.6%
vs DeepSeek V4 Flash: ↓ 63.3%
🥉

GPT-5.6 Luna
OpenAI

$0.003350
vs Claude Sonnet 5.5: ↓ 89.3%
vs DeepSeek V4 Flash: ↓ 62.1%
#4

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Sonnet 5.5: ↓ 86.6%
vs DeepSeek V4 Flash: ↓ 52.7%
#5

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 82.8%
vs DeepSeek V4 Flash: ↓ 39.3%
#6

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 82.8%
vs DeepSeek V4 Flash: ↓ 39.3%
#7

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 75.6%
vs DeepSeek V4 Flash: ↓ 13.8%
#8

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 61%
vs DeepSeek V4 Flash: ↑ 37.7%
#9

Gemini 3.6 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 61%
vs DeepSeek V4 Flash: ↑ 37.7%
#10

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↓ 59.8%
vs DeepSeek V4 Flash: ↑ 41.9%
#11

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 48%
vs DeepSeek V4 Flash: ↑ 83.6%
#12

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↓ 46.4%
vs DeepSeek V4 Flash: ↑ 89.3%
#13

Mistral Large 4
Mistral AI

$0.020790
vs Claude Sonnet 5.5: ↓ 33.5%
vs DeepSeek V4 Flash: ↑ 134.9%
#14

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↓ 0.6%
vs DeepSeek V4 Flash: ↑ 251%
#15

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↓ 0.6%
vs DeepSeek V4 Flash: ↑ 251%
#16

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 4%
vs DeepSeek V4 Flash: ↑ 267.2%
#17

Gemini 4 Argon
Google

$0.032500 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 4%
vs DeepSeek V4 Flash: ↑ 267.2%
#18

GPT-5.6 Terra
OpenAI

$0.033500 (rounded ~ $0.03)
vs Claude Sonnet 5.5: ↑ 7.2%
vs DeepSeek V4 Flash: ↑ 278.5%
#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 42%
vs DeepSeek V4 Flash: ↑ 401.4%
#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Claude Sonnet 5.5: ↑ 56%
vs DeepSeek V4 Flash: ↑ 450.8%
#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 88.8%
vs DeepSeek V4 Flash: ↑ 566.7%
#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 88.8%
vs DeepSeek V4 Flash: ↑ 566.7%
#23

Claude Opus 5.5
Anthropic

$0.062500 (rounded ~ $0.06)
vs Claude Sonnet 5.5: ↑ 100%
vs DeepSeek V4 Flash: ↑ 606.2%
#24

GPT-6.1 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↑ 108%
vs DeepSeek V4 Flash: ↑ 634.5%
#25

GPT-6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↑ 108%
vs DeepSeek V4 Flash: ↑ 634.5%
#26

GPT-5.6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↑ 108%
vs DeepSeek V4 Flash: ↑ 634.5%
#27

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↑ 114.4%
vs DeepSeek V4 Flash: ↑ 657.1%
#28

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 160%
vs DeepSeek V4 Flash: ↑ 818.1%
#29

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 160%
vs DeepSeek V4 Flash: ↑ 818.1%
#30

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 160%
vs DeepSeek V4 Flash: ↑ 818.1%
#31

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 160%
vs DeepSeek V4 Flash: ↑ 818.1%
#32

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 168%
vs DeepSeek V4 Flash: ↑ 846.3%
#33

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 168%
vs DeepSeek V4 Flash: ↑ 846.3%
#34

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↑ 168%
vs DeepSeek V4 Flash: ↑ 846.3%
#35

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↑ 390%
vs DeepSeek V4 Flash: ↑ 1630.2%
#36

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↑ 390%
vs DeepSeek V4 Flash: ↑ 1630.2%
#37

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 5.5: ↑ 420%
vs DeepSeek V4 Flash: ↑ 1736.2%
#38

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 5.5: ↑ 420%
vs DeepSeek V4 Flash: ↑ 1736.2%
#39

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Sonnet 5.5: ↑ 436%
vs DeepSeek V4 Flash: ↑ 1792.7%
#40

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Claude Sonnet 5.5: ↑ 940%
vs DeepSeek V4 Flash: ↑ 3572.3%
#41

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 5.5: ↑ 1092.8%
vs DeepSeek V4 Flash: ↑ 4111.9%
#42

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 5.5: ↑ 1092.8%
vs DeepSeek V4 Flash: ↑ 4111.9%
✨ 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.

Multi-agent orchestration requires a strong balance between the orchestrator’s reasoning depth and the worker agents’ throughput. Claude Sonnet 5.5 often serves as the “brain,” capable of decomposing complex, multi-page document archives into actionable sub-tasks. Its architectural ability to handle nuanced instructions and maintain state makes it ideal for the orchestrator role in legacy paper digitization, where layout complexity and handwriting ambiguity are constant challenges.

In contrast, DeepSeek V4 Flash acts as a high-efficiency worker, perfect for executing repetitive tasks—such as specific field extraction, table parsing, or simple OCR clean-up—at scale. By offloading bulk processing to the faster, more cost-efficient worker agent while keeping the orchestration logic with the more capable model, teams can optimize for both accuracy and latency. When planning a pipeline handling 100K-token tasks, the critical decision involves balancing the orchestrator’s token budget against the worker’s operational speed to ensure the system remains responsive. This orchestration pattern is particularly effective for teams scaling features that require deep document analysis without incurring the overhead of using a top-tier model for every single step of the process. The synergy between a reasoning-heavy lead and a throughput-optimized worker is the gold standard for robust document processing pipelines in production environments. Choosing between these models depends on whether your bottleneck is the reasoning complexity of the orchestration layer or the sheer volume of data being passed to the worker nodes.

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.