Gemini 3.6 Flash vs Claude Sonnet 5 for 500-Token Product Descriptions (6.5M Total Volume)

Gemini 3.6 Flash vs Claude Sonnet 5
Complete Comparison: 500 input tokens × 800 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 Gemini 3.6 Flash
Google
Claude Sonnet 5
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500 500
Output Tokens 800 800
Cost Breakdown
Input Cost $0.000188Best $0.000250Worst
Output Cost $0.001500Best $0.002000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.001603 Best Value $0.002138 Most Expensive
Processing Time 4.76 seconds Slowest 3.20 seconds Fastest
Tokens per Second 304Slowest 460Fastest
Time to First Token 120ms Best 195ms Worst
Cost per 1K tokens $0.001233Best $0.001644Worst
Tokens per Dollar 810,916Best Value 608,187Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $0.500000Worst
Output Cost / 1M (Base) $1.875000 (rounded ~ $1.88)Best $2.500000Worst
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$0.250000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.937500 (rounded ~ $0.94)Best
Optimizations: 50.0% batch
$1.250000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Gemini 3.6 Flash
GoogleMax Context: 1,048,576 tokens
$1.5 / $7.5 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

$0.001603 Total Cost
$0.000094 Input Cost
$0.001500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,300Total Tokens
$0.001233Cost per 1K
810,916Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4.76s Processing Time
304 Tokens/Second
120ms Time to First Token
284 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.

Gemini 3.6 Flash Google 1048576

$0.001603
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.001688 Input: $0.000188
Output: $0.001500
Optimized Cost $0.001603 Input: $0.000188
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000084 5.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000188
  • Output Cost: $0.001500
  • Total Cost: $0.001603
  • Cost per 1K tokens: $0.001233
  • Tokens per dollar: 810,916 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 304 tokens per second and 120ms time to first token:

  • Processing Time: 4.76 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 284 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.6 Flash for high-volumestandardized cataloging and Claude Sonnet 5 for high-value product launches requiring complex reasoning and brand voice adherence.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.6 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 →

Claude Sonnet 5 Anthropic 1000000

$0.002138
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
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) $0.002250 Input: $0.000250
Output: $0.002000
Optimized Cost $0.002138 Input: $0.000250
Output: $0.002000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000113 5.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000250
  • Output Cost: $0.002000
  • Total Cost: $0.002138
  • Cost per 1K tokens: $0.001644
  • Tokens per dollar: 608,187 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

  • Processing Time: 3.20 seconds
  • Latency: 195 milliseconds to first token
  • Base Throughput: 460 tokens/second
  • Effective Throughput: 430 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.6 Flash for high-volumestandardized cataloging and Claude Sonnet 5 for high-value product launches requiring complex reasoning and brand voice adherence.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 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 Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 500
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Gemini 3.6 Flash vs Claude Sonnet 5
🏆 Ministral 3 (14B)
Mistral AI
 $0.000054 Best Value ↓ 96.6% cheaper ↓ 97.5% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000067 ↓ 95.8% cheaper ↓ 96.9% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000067 ↓ 95.8% cheaper ↓ 96.9% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000067 ↓ 95.8% cheaper ↓ 96.9% cheaper
#5 Nemotron 3 Super
NVIDIA
 $0.000185 ↓ 88.5% cheaper ↓ 91.4% cheaper
#6 Devstral 2
Mistral AI
 $0.000208 ↓ 87.1% cheaper ↓ 90.3% cheaper
#7 Gemini 3.1 Flash Lite
Google
 $0.000317 ↓ 80.2% cheaper ↓ 85.2% cheaper
#8 Mistral Large 3
Mistral AI
 $0.000334 ↓ 79.1% cheaper ↓ 84.4% cheaper
#9 Gemini 3.5 Flash-Lite
Google
 $0.000521 ↓ 67.5% cheaper ↓ 75.6% cheaper
#10 Gemini 2.5 Flash
Google
 $0.000521 ↓ 67.5% cheaper ↓ 75.6% cheaper
#11 Gemini 3.8 Flash
Google
 $0.000802 ↓ 50% cheaper ↓ 62.5% cheaper
#12 o4-mini Deep Research
OpenAI
 $0.000869 ↓ 45.8% cheaper ↓ 59.4% cheaper
#13 GPT-5.4 mini
OpenAI
 $0.000952 ↓ 40.6% cheaper ↓ 55.5% cheaper
#14 o4-mini
OpenAI
 $0.000956 ↓ 40.4% cheaper ↓ 55.3% cheaper
#15 Claude Haiku 4.5
Anthropic
 $0.001069 ↓ 33.3% cheaper ↓ 50% cheaper
#16 Magistral Medium
Mistral AI
 $0.001138 ↓ 29% cheaper ↓ 46.8% cheaper
#17 Gemini 3.1 Flash
Google
 $0.001269 ↓ 20.9% cheaper ↓ 40.6% cheaper
#18 GPT-5.6 Luna
OpenAI
 $0.001269 ↓ 20.9% cheaper ↓ 40.6% cheaper
#19 Grok 4.3
xAI
 $0.001875 ↑ 17% more ↓ 12.3% cheaper
#20 Grok 4.20 Beta
xAI
 $0.001875 ↑ 17% more ↓ 12.3% cheaper
#21 Gemini 3.5 Flash
Google
 $0.001903 ↑ 18.7% more ↓ 11% cheaper
#22 Claude Sonnet 5
Anthropic
 $0.002138 ↑ 33.3% more Same price
#23 GPT-5.3 Codex Spark
OpenAI
 $0.002920 ↑ 82.2% more ↑ 36.6% more
#24 GPT-5.3 Instant
OpenAI
 $0.002920 ↑ 82.2% more ↑ 36.6% more
#25 GPT-5.6 Terra
OpenAI
 $0.003172 ↑ 97.9% more ↑ 48.4% more
#26 Claude Sonnet 4.6
Anthropic
 $0.003206 ↑ 100% more ↑ 50% more
#27 Gemini 2.5 Pro
Google
 $0.004172 ↑ 160.2% more ↑ 95.2% more
#28 Gemini 3.1 Pro
Google
 $0.005075 (rounded ~ $0.01) ↑ 216.6% more ↑ 137.4% more
#29 Claude Opus 4.7
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 233.3% more ↑ 150% more
#30 Claude Opus 5
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 233.3% more ↑ 150% more
#31 Claude Opus 4.8
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 233.3% more ↑ 150% more
#32 Claude Opus 4.6
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 233.3% more ↑ 150% more
#33 GPT-5.4
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 295.7% more ↑ 196.8% more
#34 GPT-5.4 Thinking
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 295.7% more ↑ 196.8% more
#35 GPT-5.5 Instant
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 295.7% more ↑ 196.8% more
#36 GPT-5.6 Sol
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 295.7% more ↑ 196.8% more
#37 o3 Deep Research
OpenAI
 $0.008688 (rounded ~ $0.01) ↑ 441.9% more ↑ 306.4% more
#38 Claude Fable 5.1
Anthropic
 $0.010641 ↑ 563.7% more ↑ 397.8% more
#39 Claude Mythos 5.1
Anthropic
 $0.010641 ↑ 563.7% more ↑ 397.8% more
#40 Claude Fable 5
Anthropic
 $0.010688 ↑ 566.7% more ↑ 400% more
#41 Claude Mythos 5
Anthropic
 $0.010688 ↑ 566.7% more ↑ 400% more
#42 GPT-5.5
OpenAI
 $0.012688 (rounded ~ $0.01) ↑ 691.4% more ↑ 493.6% more
#43 o3 Pro
OpenAI
 $0.017375 (rounded ~ $0.02) ↑ 983.8% more ↑ 712.9% more
#44 GPT-6 Astra
OpenAI
 $0.021375 (rounded ~ $0.02) ↑ 1233.3% more ↑ 900% more
#45 GPT-5.2 Pro
OpenAI
 $0.035044 (rounded ~ $0.04) ↑ 2086% more ↑ 1539.5% more
#46 GPT-5.2 Pro
OpenAI
 $0.035044 (rounded ~ $0.04) ↑ 2086% more ↑ 1539.5% more
🏆

Ministral 3 (14B)
Mistral AI

$0.000054
vs Gemini 3.6 Flash: ↓ 96.6%
vs Claude Sonnet 5: ↓ 97.5%
🥈

Mistral Small 3
Mistral AI

$0.000067
vs Gemini 3.6 Flash: ↓ 95.8%
vs Claude Sonnet 5: ↓ 96.9%
🥉

Voxtral Small 24B
Mistral AI

$0.000067
vs Gemini 3.6 Flash: ↓ 95.8%
vs Claude Sonnet 5: ↓ 96.9%
#4

Devstral Small 2
Mistral AI

$0.000067
vs Gemini 3.6 Flash: ↓ 95.8%
vs Claude Sonnet 5: ↓ 96.9%
#5

Nemotron 3 Super
NVIDIA

$0.000185
vs Gemini 3.6 Flash: ↓ 88.5%
vs Claude Sonnet 5: ↓ 91.4%
#6

Devstral 2
Mistral AI

$0.000208
vs Gemini 3.6 Flash: ↓ 87.1%
vs Claude Sonnet 5: ↓ 90.3%
#7

Gemini 3.1 Flash Lite
Google

$0.000317
vs Gemini 3.6 Flash: ↓ 80.2%
vs Claude Sonnet 5: ↓ 85.2%
#8

Mistral Large 3
Mistral AI

$0.000334
vs Gemini 3.6 Flash: ↓ 79.1%
vs Claude Sonnet 5: ↓ 84.4%
#9

Gemini 3.5 Flash-Lite
Google

$0.000521
vs Gemini 3.6 Flash: ↓ 67.5%
vs Claude Sonnet 5: ↓ 75.6%
#10

Gemini 2.5 Flash
Google

$0.000521
vs Gemini 3.6 Flash: ↓ 67.5%
vs Claude Sonnet 5: ↓ 75.6%
#11

Gemini 3.8 Flash
Google

$0.000802
vs Gemini 3.6 Flash: ↓ 50%
vs Claude Sonnet 5: ↓ 62.5%
#12

o4-mini Deep Research
OpenAI

$0.000869
vs Gemini 3.6 Flash: ↓ 45.8%
vs Claude Sonnet 5: ↓ 59.4%
#13

GPT-5.4 mini
OpenAI

$0.000952
vs Gemini 3.6 Flash: ↓ 40.6%
vs Claude Sonnet 5: ↓ 55.5%
#14

o4-mini
OpenAI

$0.000956
vs Gemini 3.6 Flash: ↓ 40.4%
vs Claude Sonnet 5: ↓ 55.3%
#15

Claude Haiku 4.5
Anthropic

$0.001069
vs Gemini 3.6 Flash: ↓ 33.3%
vs Claude Sonnet 5: ↓ 50%
#16

Magistral Medium
Mistral AI

$0.001138
vs Gemini 3.6 Flash: ↓ 29%
vs Claude Sonnet 5: ↓ 46.8%
#17

Gemini 3.1 Flash
Google

$0.001269
vs Gemini 3.6 Flash: ↓ 20.9%
vs Claude Sonnet 5: ↓ 40.6%
#18

GPT-5.6 Luna
OpenAI

$0.001269
vs Gemini 3.6 Flash: ↓ 20.9%
vs Claude Sonnet 5: ↓ 40.6%
#19

Grok 4.3
xAI

$0.001875
vs Gemini 3.6 Flash: ↑ 17%
vs Claude Sonnet 5: ↓ 12.3%
#20

Grok 4.20 Beta
xAI

$0.001875
vs Gemini 3.6 Flash: ↑ 17%
vs Claude Sonnet 5: ↓ 12.3%
#21

Gemini 3.5 Flash
Google

$0.001903
vs Gemini 3.6 Flash: ↑ 18.7%
vs Claude Sonnet 5: ↓ 11%
#22

Claude Sonnet 5
Anthropic

$0.002138
vs Gemini 3.6 Flash: ↑ 33.3%
vs Claude Sonnet 5: Same
#23

GPT-5.3 Codex Spark
OpenAI

$0.002920
vs Gemini 3.6 Flash: ↑ 82.2%
vs Claude Sonnet 5: ↑ 36.6%
#24

GPT-5.3 Instant
OpenAI

$0.002920
vs Gemini 3.6 Flash: ↑ 82.2%
vs Claude Sonnet 5: ↑ 36.6%
#25

GPT-5.6 Terra
OpenAI

$0.003172
vs Gemini 3.6 Flash: ↑ 97.9%
vs Claude Sonnet 5: ↑ 48.4%
#26

Claude Sonnet 4.6
Anthropic

$0.003206
vs Gemini 3.6 Flash: ↑ 100%
vs Claude Sonnet 5: ↑ 50%
#27

Gemini 2.5 Pro
Google

$0.004172
vs Gemini 3.6 Flash: ↑ 160.2%
vs Claude Sonnet 5: ↑ 95.2%
#28

Gemini 3.1 Pro
Google

$0.005075 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 216.6%
vs Claude Sonnet 5: ↑ 137.4%
#29

Claude Opus 4.7
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 233.3%
vs Claude Sonnet 5: ↑ 150%
#30

Claude Opus 5
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 233.3%
vs Claude Sonnet 5: ↑ 150%
#31

Claude Opus 4.8
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 233.3%
vs Claude Sonnet 5: ↑ 150%
#32

Claude Opus 4.6
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 233.3%
vs Claude Sonnet 5: ↑ 150%
#33

GPT-5.4
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 295.7%
vs Claude Sonnet 5: ↑ 196.8%
#34

GPT-5.4 Thinking
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 295.7%
vs Claude Sonnet 5: ↑ 196.8%
#35

GPT-5.5 Instant
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 295.7%
vs Claude Sonnet 5: ↑ 196.8%
#36

GPT-5.6 Sol
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 295.7%
vs Claude Sonnet 5: ↑ 196.8%
#37

o3 Deep Research
OpenAI

$0.008688 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 441.9%
vs Claude Sonnet 5: ↑ 306.4%
#38

Claude Fable 5.1
Anthropic

$0.010641
vs Gemini 3.6 Flash: ↑ 563.7%
vs Claude Sonnet 5: ↑ 397.8%
#39

Claude Mythos 5.1
Anthropic

$0.010641
vs Gemini 3.6 Flash: ↑ 563.7%
vs Claude Sonnet 5: ↑ 397.8%
#40

Claude Fable 5
Anthropic

$0.010688
vs Gemini 3.6 Flash: ↑ 566.7%
vs Claude Sonnet 5: ↑ 400%
#41

Claude Mythos 5
Anthropic

$0.010688
vs Gemini 3.6 Flash: ↑ 566.7%
vs Claude Sonnet 5: ↑ 400%
#42

GPT-5.5
OpenAI

$0.012688 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 691.4%
vs Claude Sonnet 5: ↑ 493.6%
#43

o3 Pro
OpenAI

$0.017375 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 983.8%
vs Claude Sonnet 5: ↑ 712.9%
#44

GPT-6 Astra
OpenAI

$0.021375 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 1233.3%
vs Claude Sonnet 5: ↑ 900%
#45

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 2086%
vs Claude Sonnet 5: ↑ 1539.5%
#46

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 2086%
vs Claude Sonnet 5: ↑ 1539.5%
✨ 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.

Choosing the Right Model for Large-Scale Content Pipelines

Generating 5,000 product descriptions is a classic enterprise AI engineering challenge where the choice between throughput and nuance determines both operational efficiency and final content quality. For a volume of 6.5 million tokens, your selection should reflect whether the task demands pure raw speed or complex, multi-step logical reasoning.

Gemini 3.6 Flash acts as the high-throughput workhorse. It is engineered for low latency and high consistency, making it the ideal candidate for massive batch workloads where the prompt structure is well-defined. If your descriptions rely on a fixed schema—such as standardized bullet points, spec-sheet extraction, or consistent SEO formatting—this model provides the reliable, predictable output needed to maintain steady pipeline velocity without the overhead of higher-effort models.

Conversely, Claude Sonnet 5 excels in scenarios where product descriptions require deeper “agentic” reasoning. If your task involves synthesizing diverse data sources, adhering to complex brand voice guidelines, or nuanced persuasive writing that needs to “feel” human, the model’s architectural focus on autonomous task completion and self-correction is a significant advantage. It is better suited for high-stakes listings where the quality of the copy directly impacts conversion rates rather than simple inventory management.

The engineering trade-off is clear: optimize for pipeline speed and volume with Gemini 3.6 Flash, or optimize for descriptive quality and complex instruction-following with Claude Sonnet 5. For enterprise teams, the most effective strategy is often a hybrid approach: use the former for bulk standardized cataloging and the latter for high-value or complex product launches.

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.

Related model pricing

Gemini 3.6 Flash currently costs $1.50 / $7.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

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