Per-Request Cost: 1,000-Token Email Drafting at 500,000-Daily Volume

Claude Sonnet 4.6 vs Gemini 3.5 Flash
Complete Comparison: 1,000 input tokens × 600 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 4.6
Anthropic
Gemini 3.5 Flash
Google
Calculation Results (Current Inputs) (20% cached)
Input Tokens 1,000 1,000
Output Tokens 600 600
Cost Breakdown
Input Cost $0.000750Worst $0.000375Best
Output Cost $0.002250Worst $0.001350Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.002865 Most Expensive $0.001658 Best Value
Processing Time 3.98 seconds Slowest 2.19 seconds Fastest
Tokens per Second 450Slowest 850Fastest
Time to First Token 200ms Worst 90ms Best
Cost per 1K tokens $0.001791Worst $0.001036Best
Tokens per Dollar 558,464Worst Value 965,309Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.375000 (rounded ~ $0.38)Best
Output Cost / 1M (Base) $3.750000Worst $2.250000Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$1.125000 (rounded ~ $1.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

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All other parameters will be preserved from the current comparison.

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Select AI Model

Claude Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
20%
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

$0.002865 Total Cost
$0.000600 Input Cost
$0.002250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,600Total Tokens
$0.001791Cost per 1K
558,464Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3.98s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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 Sonnet 4.6 Anthropic 1000000

$0.002865
Total Cost
⚡ 20% 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) $0.003000 Input: $0.000750
Output: $0.002250
Optimized Cost $0.002865 Input: $0.000750
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000135 4.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 600 output tokens:

  • Input Cost: $0.000750
  • Output Cost: $0.002250
  • Total Cost: $0.002865
  • Cost per 1K tokens: $0.001791
  • Tokens per dollar: 558,464 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 3.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Sonnet 4.6 for high-qualitytone-sensitive outreach; use Gemini 3.5 Flash for rapidhigh-throughput email production.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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 →

Gemini 3.5 Flash Google 1000000

$0.001658
Total Cost
⚡ 20% 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) $0.001725 Input: $0.000375
Output: $0.001350
Optimized Cost $0.001658 Input: $0.000375
Output: $0.001350
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000068 3.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 600 output tokens:

  • Input Cost: $0.000375
  • Output Cost: $0.001350
  • Total Cost: $0.001658
  • Cost per 1K tokens: $0.001036
  • Tokens per dollar: 965,309 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

  • Processing Time: 2.19 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Sonnet 4.6 for high-qualitytone-sensitive outreach; use Gemini 3.5 Flash for rapidhigh-throughput email production.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 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 4.6
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 600
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Gemini 3.5 Flash
🏆 Mistral Small 3
Mistral AI
 $0.000066 Best Value ↓ 97.7% cheaper ↓ 96% cheaper
🥈 Voxtral Small 24B
Mistral AI
 $0.000066 ↓ 97.7% cheaper ↓ 96% cheaper
🥉 Devstral Small 2
Mistral AI
 $0.000066 ↓ 97.7% cheaper ↓ 96% cheaper
#4 Ministral 3 (14B)
Mistral AI
 $0.000071 ↓ 97.5% cheaper ↓ 95.7% cheaper
#5 Nemotron 3 Super
Mistral AI
 $0.000185 ↓ 93.6% cheaper ↓ 88.9% cheaper
#6 Devstral 2
Mistral AI
 $0.000217 ↓ 92.4% cheaper ↓ 86.9% cheaper
#7 Grok Code Fast 1
xAI
 $0.000266 ↓ 90.7% cheaper ↓ 84% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.000276 ↓ 90.4% cheaper ↓ 83.3% cheaper
#9 Mistral Large 3
Mistral AI
 $0.000328 ↓ 88.6% cheaper ↓ 80.2% cheaper
#10 Gemini 2.5 Flash
Google
 $0.000437 ↓ 84.8% cheaper ↓ 73.7% cheaper
#11 Grok 4.3
xAI
 $0.000631 ↓ 78% cheaper ↓ 61.9% cheaper
#12 o4-mini Deep Research
OpenAI
 $0.000805 ↓ 71.9% cheaper ↓ 51.4% cheaper
#13 GPT-5.4 mini
OpenAI
 $0.000829 ↓ 71.1% cheaper ↓ 50% cheaper
#14 o4-mini
OpenAI
 $0.000886 ↓ 69.1% cheaper ↓ 46.6% cheaper
#15 Claude Haiku 4.5
Anthropic
 $0.000955 ↓ 66.7% cheaper ↓ 42.4% cheaper
#16 Gemini 3.1 Flash
Google
 $0.001105 ↓ 61.4% cheaper ↓ 33.3% cheaper
#17 Magistral Medium
Mistral AI
 $0.001160 ↓ 59.5% cheaper ↓ 30% cheaper
#18 Grok 4.20 Beta
xAI
 $0.001310 ↓ 54.3% cheaper ↓ 21% cheaper
#19 Gemini 3.5 Flash
Google
 $0.001658 ↓ 42.1% cheaper Same price
#20 GPT-5.3 Codex Spark
OpenAI
 $0.002459 ↓ 14.2% cheaper ↑ 48.3% more
#21 GPT-5.3 Instant
OpenAI
 $0.002459 ↓ 14.2% cheaper ↑ 48.3% more
#22 Gemini 2.5 Pro
Google
 $0.003513 ↑ 22.6% more ↑ 111.9% more
#23 Gemini 3.1 Pro
Google
 $0.004420 ↑ 54.3% more ↑ 166.7% more
#24 Claude Opus 4.7
Anthropic
 $0.004775 ↑ 66.7% more ↑ 188.1% more
#25 Claude Opus 4.8
Anthropic
 $0.004775 ↑ 66.7% more ↑ 188.1% more
#26 Claude Opus 4.6
Anthropic
 $0.004775 ↑ 66.7% more ↑ 188.1% more
#27 GPT-5.4
OpenAI
 $0.005525 (rounded ~ $0.01) ↑ 92.8% more ↑ 233.3% more
#28 GPT-5.4 Thinking
OpenAI
 $0.005525 (rounded ~ $0.01) ↑ 92.8% more ↑ 233.3% more
#29 GPT-5.5 Instant
OpenAI
 $0.005525 (rounded ~ $0.01) ↑ 92.8% more ↑ 233.3% more
#30 o3 Deep Research
OpenAI
 $0.008050 (rounded ~ $0.01) ↑ 181% more ↑ 385.7% more
#31 GPT-5.5
OpenAI
 $0.011050 (rounded ~ $0.01) ↑ 285.7% more ↑ 566.7% more
#32 o3 Pro
OpenAI
 $0.016100 (rounded ~ $0.02) ↑ 462% more ↑ 871.3% more
#33 GPT-5.2 Pro
OpenAI
 $0.029505 ↑ 929.8% more ↑ 1680.1% more
#34 GPT-5.2 Pro
OpenAI
 $0.029505 ↑ 929.8% more ↑ 1680.1% more
🏆

Mistral Small 3
Mistral AI

$0.000066
vs Claude Sonnet 4.6: ↓ 97.7%
vs Gemini 3.5 Flash: ↓ 96%
🥈

Voxtral Small 24B
Mistral AI

$0.000066
vs Claude Sonnet 4.6: ↓ 97.7%
vs Gemini 3.5 Flash: ↓ 96%
🥉

Devstral Small 2
Mistral AI

$0.000066
vs Claude Sonnet 4.6: ↓ 97.7%
vs Gemini 3.5 Flash: ↓ 96%
#4

Ministral 3 (14B)
Mistral AI

$0.000071
vs Claude Sonnet 4.6: ↓ 97.5%
vs Gemini 3.5 Flash: ↓ 95.7%
#5

Nemotron 3 Super
Mistral AI

$0.000185
vs Claude Sonnet 4.6: ↓ 93.6%
vs Gemini 3.5 Flash: ↓ 88.9%
#6

Devstral 2
Mistral AI

$0.000217
vs Claude Sonnet 4.6: ↓ 92.4%
vs Gemini 3.5 Flash: ↓ 86.9%
#7

Grok Code Fast 1
xAI

$0.000266
vs Claude Sonnet 4.6: ↓ 90.7%
vs Gemini 3.5 Flash: ↓ 84%
#8

Gemini 3.1 Flash Lite
Google

$0.000276
vs Claude Sonnet 4.6: ↓ 90.4%
vs Gemini 3.5 Flash: ↓ 83.3%
#9

Mistral Large 3
Mistral AI

$0.000328
vs Claude Sonnet 4.6: ↓ 88.6%
vs Gemini 3.5 Flash: ↓ 80.2%
#10

Gemini 2.5 Flash
Google

$0.000437
vs Claude Sonnet 4.6: ↓ 84.8%
vs Gemini 3.5 Flash: ↓ 73.7%
#11

Grok 4.3
xAI

$0.000631
vs Claude Sonnet 4.6: ↓ 78%
vs Gemini 3.5 Flash: ↓ 61.9%
#12

o4-mini Deep Research
OpenAI

$0.000805
vs Claude Sonnet 4.6: ↓ 71.9%
vs Gemini 3.5 Flash: ↓ 51.4%
#13

GPT-5.4 mini
OpenAI

$0.000829
vs Claude Sonnet 4.6: ↓ 71.1%
vs Gemini 3.5 Flash: ↓ 50%
#14

o4-mini
OpenAI

$0.000886
vs Claude Sonnet 4.6: ↓ 69.1%
vs Gemini 3.5 Flash: ↓ 46.6%
#15

Claude Haiku 4.5
Anthropic

$0.000955
vs Claude Sonnet 4.6: ↓ 66.7%
vs Gemini 3.5 Flash: ↓ 42.4%
#16

Gemini 3.1 Flash
Google

$0.001105
vs Claude Sonnet 4.6: ↓ 61.4%
vs Gemini 3.5 Flash: ↓ 33.3%
#17

Magistral Medium
Mistral AI

$0.001160
vs Claude Sonnet 4.6: ↓ 59.5%
vs Gemini 3.5 Flash: ↓ 30%
#18

Grok 4.20 Beta
xAI

$0.001310
vs Claude Sonnet 4.6: ↓ 54.3%
vs Gemini 3.5 Flash: ↓ 21%
#19

Gemini 3.5 Flash
Google

$0.001658
vs Claude Sonnet 4.6: ↓ 42.1%
vs Gemini 3.5 Flash: Same
#20

GPT-5.3 Codex Spark
OpenAI

$0.002459
vs Claude Sonnet 4.6: ↓ 14.2%
vs Gemini 3.5 Flash: ↑ 48.3%
#21

GPT-5.3 Instant
OpenAI

$0.002459
vs Claude Sonnet 4.6: ↓ 14.2%
vs Gemini 3.5 Flash: ↑ 48.3%
#22

Gemini 2.5 Pro
Google

$0.003513
vs Claude Sonnet 4.6: ↑ 22.6%
vs Gemini 3.5 Flash: ↑ 111.9%
#23

Gemini 3.1 Pro
Google

$0.004420
vs Claude Sonnet 4.6: ↑ 54.3%
vs Gemini 3.5 Flash: ↑ 166.7%
#24

Claude Opus 4.7
Anthropic

$0.004775
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.5 Flash: ↑ 188.1%
#25

Claude Opus 4.8
Anthropic

$0.004775
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.5 Flash: ↑ 188.1%
#26

Claude Opus 4.6
Anthropic

$0.004775
vs Claude Sonnet 4.6: ↑ 66.7%
vs Gemini 3.5 Flash: ↑ 188.1%
#27

GPT-5.4
OpenAI

$0.005525 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 92.8%
vs Gemini 3.5 Flash: ↑ 233.3%
#28

GPT-5.4 Thinking
OpenAI

$0.005525 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 92.8%
vs Gemini 3.5 Flash: ↑ 233.3%
#29

GPT-5.5 Instant
OpenAI

$0.005525 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 92.8%
vs Gemini 3.5 Flash: ↑ 233.3%
#30

o3 Deep Research
OpenAI

$0.008050 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 181%
vs Gemini 3.5 Flash: ↑ 385.7%
#31

GPT-5.5
OpenAI

$0.011050 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↑ 285.7%
vs Gemini 3.5 Flash: ↑ 566.7%
#32

o3 Pro
OpenAI

$0.016100 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↑ 462%
vs Gemini 3.5 Flash: ↑ 871.3%
#33

GPT-5.2 Pro
OpenAI

$0.029505
vs Claude Sonnet 4.6: ↑ 929.8%
vs Gemini 3.5 Flash: ↑ 1680.1%
#34

GPT-5.2 Pro
OpenAI

$0.029505
vs Claude Sonnet 4.6: ↑ 929.8%
vs Gemini 3.5 Flash: ↑ 1680.1%
✨ 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.

As social media managers, our ability to scale personalized outreach often hinges on drafting consistency. When managing high-volume email campaigns—specifically at the 500,000-token daily threshold—the choice between models like Claude Sonnet 4.6 and Gemini 3.5 Flash comes down to how they handle brand voice and structured instruction. Claude Sonnet 4.6 is frequently favored for its nuanced grasp of tone, making it a strong candidate for email campaigns that require a more ‘human’ touch or sophisticated brand alignment. It excels in following complex, multi-step instructions without deviating from the core messaging.

Conversely, Gemini 3.5 Flash is designed for speed and efficiency. For teams generating hundreds of drafts daily, the latency advantages can significantly speed up the production pipeline. While it may require more careful prompting to maintain the same level of stylistic subtlety as Claude, its performance in high-throughput environments is robust. When evaluating these for your daily email volume, consider your team’s bottleneck: is it creative quality or production speed? Anthropic’s model offers the precision needed for high-stakes, personalized outreach, whereas Google’s Flash tier provides the raw throughput necessary for rapid, high-volume automation. Both models support structured outputs, essential for maintaining data integrity in your CRM integrations.

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.