Per 1M Tokens: Claude Haiku 4.6 vs Gemini 3.1 Flash for Personalized Emails

Claude Haiku 4.6 vs Gemini 3.1 Flash
Complete Comparison: 100,000 input tokens × 600 output tokens
Comparison Mode
⚡ 10% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Haiku 4.6
Anthropic
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (10% cached)
Input Tokens 100,000 100,000
Output Tokens 600 600
Cost Breakdown
Input Cost $0.025000 (rounded ~ $0.03)Best $0.050000Worst
Output Cost $0.000750Best $0.001800Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.023500 (rounded ~ $0.02) Best Value $0.047300 (rounded ~ $0.05) Most Expensive
Processing Time 2 minutes, 6.82 seconds Fastest 2 minutes, 14.73 seconds Slowest
Tokens per Second 850Fastest 800Slowest
Time to First Token 75ms Best 100ms Worst
Cost per 1K tokens $0.000234Best $0.000470Worst
Tokens per Dollar 4,280,851Best Value 2,126,850Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.250000Best $0.500000Worst
Output Cost / 1M (Base) $1.250000Best $3.000000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: No optimizations applied
$0.500000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: No optimizations applied
$3.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
10
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Haiku 4.6
AnthropicMax Context: 200,000 tokens
$0.25 / $1.25 per 1M tokens
▼
▼
Use Batch API (50% discount)
10%
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

$0.023500 Total Cost
$0.022500 Input Cost
$0.000750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,600Total Tokens
$0.000234Cost per 1K
4,280,851Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 6s Processing Time
850 Tokens/Second
75ms Time to First Token
794 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 Haiku 4.6 Anthropic

$0.023500 (rounded ~ $0.02)
Total Cost
⚡ 10% Cached 🔧 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) $0.025750 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.000750
Optimized Cost $0.023500 (rounded ~ $0.02) Input: $0.025000 (rounded ~ $0.03)
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002250 8.7% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 600 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.000750
  • Total Cost: $0.023500 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000234
  • Tokens per dollar: 4,280,851 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 75ms time to first token:

  • Processing Time: 2 minutes, 6.82 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

High-volume personalized email generation where rapid iteration and cost efficiency are paramountand the personalization logic is well-defined.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Haiku 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 3.1 Flash Google 1000000

$0.047300 (rounded ~ $0.05)
Total Cost
⚡ 10% Cached 🔧 Tools
👁️
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) $0.051800 (rounded ~ $0.05) Input: $0.050000
Output: $0.001800
Optimized Cost $0.047300 (rounded ~ $0.05) Input: $0.050000
Output: $0.001800
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004500 8.7% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 600 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.001800
  • Total Cost: $0.047300 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000470
  • Tokens per dollar: 2,126,850 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 2 minutes, 14.73 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

High-volume personalized email generation where rapid iteration and cost efficiency are paramountand the personalization logic is well-defined.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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 Haiku 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 600
Cached Tokens: 10%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Haiku 4.6 vs Gemini 3.1 Flash
🏆 Mistral Small 3
Mistral AI
 $0.009280 Best Value ↓ 60.5% cheaper ↓ 80.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.019100 ↓ 18.7% cheaper ↓ 59.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.023650 (rounded ~ $0.02) ↑ 0.6% more ↓ 50% cheaper
#4 Gemini 2.5 Flash
Google
 $0.028800 (rounded ~ $0.03) ↑ 22.6% more ↓ 39.1% cheaper
#5 Mistral Large 3
Mistral AI
 $0.046400 (rounded ~ $0.05) ↑ 97.4% more ↓ 1.9% cheaper
#6 Gemini 3.1 Flash
Google
 $0.047300 (rounded ~ $0.05) ↑ 101.3% more Same price
#7 Kimi K2.5
Moonshot AI
 $0.056820 (rounded ~ $0.06) ↑ 141.8% more ↑ 20.1% more
#8 GPT-5.4 mini
OpenAI
 $0.070950 ↑ 201.9% more ↑ 50% more
#9 Kimi K2.6
Moonshot AI
 $0.089515 ↑ 280.9% more ↑ 89.2% more
#10 o4-mini Deep Research
OpenAI
 $0.093400 (rounded ~ $0.09) ↑ 297.4% more ↑ 97.5% more
#11 Claude Haiku 4.5
Anthropic
 $0.094000 (rounded ~ $0.09) ↑ 300% more ↑ 98.7% more
#12 o4-mini
OpenAI
 $0.102740 (rounded ~ $0.10) ↑ 337.2% more ↑ 117.2% more
#13 Grok 4.3
xAI
 $0.115250 (rounded ~ $0.12) ↑ 390.4% more ↑ 143.7% more
#14 Gemini 2.5 Pro
Google
 $0.119750 ↑ 409.6% more ↑ 153.2% more
#15 Gemini 3.5 Flash
Google
 $0.141900 (rounded ~ $0.14) ↑ 503.8% more ↑ 200% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.167650 (rounded ~ $0.17) ↑ 613.4% more ↑ 254.4% more
#17 GPT-5.3 Instant
OpenAI
 $0.167650 (rounded ~ $0.17) ↑ 613.4% more ↑ 254.4% more
#18 Grok 4.20 Beta
xAI
 $0.185600 (rounded ~ $0.19) ↑ 689.8% more ↑ 292.4% more
#19 Gemini 3.1 Pro
Google
 $0.189200 ↑ 705.1% more ↑ 300% more
#20 GPT-5.4
OpenAI
 $0.236500 (rounded ~ $0.24) ↑ 906.4% more ↑ 400% more
#21 GPT-5.4 Thinking
OpenAI
 $0.236500 (rounded ~ $0.24) ↑ 906.4% more ↑ 400% more
#22 Claude Sonnet 4.6
Anthropic
 $0.282000 (rounded ~ $0.28) ↑ 1100% more ↑ 496.2% more
#23 Claude Opus 4.7
Anthropic
 $0.470000 ↑ 1900% more ↑ 893.7% more
#24 Claude Opus 4.8
Anthropic
 $0.470000 ↑ 1900% more ↑ 893.7% more
#25 Claude Opus 4.6
Anthropic
 $0.470000 ↑ 1900% more ↑ 893.7% more
#26 GPT-5.5
OpenAI
 $0.473000 (rounded ~ $0.47) ↑ 1912.8% more ↑ 900% more
#27 GPT-5.5 Instant
OpenAI
 $0.473000 (rounded ~ $0.47) ↑ 1912.8% more ↑ 900% more
#28 o3 Deep Research
OpenAI
 $0.934000 (rounded ~ $0.93) ↑ 3874.5% more ↑ 1874.6% more
#29 o3 Pro
OpenAI
 $1.868000 (rounded ~ $1.87) ↑ 7848.9% more ↑ 3849.3% more
#30 GPT-5.2 Pro
OpenAI
 $2.011800 (rounded ~ $2.01) ↑ 8460.9% more ↑ 4153.3% more
#31 GPT-5.2 Pro
OpenAI
 $2.011800 (rounded ~ $2.01) ↑ 8460.9% more ↑ 4153.3% more
🏆

Mistral Small 3
Mistral AI

$0.009280
vs Claude Haiku 4.6: ↓ 60.5%
vs Gemini 3.1 Flash: ↓ 80.4%
🥈

Grok Code Fast 1
xAI

$0.019100
vs Claude Haiku 4.6: ↓ 18.7%
vs Gemini 3.1 Flash: ↓ 59.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.023650 (rounded ~ $0.02)
vs Claude Haiku 4.6: ↑ 0.6%
vs Gemini 3.1 Flash: ↓ 50%
#4

Gemini 2.5 Flash
Google

$0.028800 (rounded ~ $0.03)
vs Claude Haiku 4.6: ↑ 22.6%
vs Gemini 3.1 Flash: ↓ 39.1%
#5

Mistral Large 3
Mistral AI

$0.046400 (rounded ~ $0.05)
vs Claude Haiku 4.6: ↑ 97.4%
vs Gemini 3.1 Flash: ↓ 1.9%
#6

Gemini 3.1 Flash
Google

$0.047300 (rounded ~ $0.05)
vs Claude Haiku 4.6: ↑ 101.3%
vs Gemini 3.1 Flash: Same
#7

Kimi K2.5
Moonshot AI

$0.056820 (rounded ~ $0.06)
vs Claude Haiku 4.6: ↑ 141.8%
vs Gemini 3.1 Flash: ↑ 20.1%
#8

GPT-5.4 mini
OpenAI

$0.070950
vs Claude Haiku 4.6: ↑ 201.9%
vs Gemini 3.1 Flash: ↑ 50%
#9

Kimi K2.6
Moonshot AI

$0.089515
vs Claude Haiku 4.6: ↑ 280.9%
vs Gemini 3.1 Flash: ↑ 89.2%
#10

o4-mini Deep Research
OpenAI

$0.093400 (rounded ~ $0.09)
vs Claude Haiku 4.6: ↑ 297.4%
vs Gemini 3.1 Flash: ↑ 97.5%
#11

Claude Haiku 4.5
Anthropic

$0.094000 (rounded ~ $0.09)
vs Claude Haiku 4.6: ↑ 300%
vs Gemini 3.1 Flash: ↑ 98.7%
#12

o4-mini
OpenAI

$0.102740 (rounded ~ $0.10)
vs Claude Haiku 4.6: ↑ 337.2%
vs Gemini 3.1 Flash: ↑ 117.2%
#13

Grok 4.3
xAI

$0.115250 (rounded ~ $0.12)
vs Claude Haiku 4.6: ↑ 390.4%
vs Gemini 3.1 Flash: ↑ 143.7%
#14

Gemini 2.5 Pro
Google

$0.119750
vs Claude Haiku 4.6: ↑ 409.6%
vs Gemini 3.1 Flash: ↑ 153.2%
#15

Gemini 3.5 Flash
Google

$0.141900 (rounded ~ $0.14)
vs Claude Haiku 4.6: ↑ 503.8%
vs Gemini 3.1 Flash: ↑ 200%
#16

GPT-5.3 Codex Spark
OpenAI

$0.167650 (rounded ~ $0.17)
vs Claude Haiku 4.6: ↑ 613.4%
vs Gemini 3.1 Flash: ↑ 254.4%
#17

GPT-5.3 Instant
OpenAI

$0.167650 (rounded ~ $0.17)
vs Claude Haiku 4.6: ↑ 613.4%
vs Gemini 3.1 Flash: ↑ 254.4%
#18

Grok 4.20 Beta
xAI

$0.185600 (rounded ~ $0.19)
vs Claude Haiku 4.6: ↑ 689.8%
vs Gemini 3.1 Flash: ↑ 292.4%
#19

Gemini 3.1 Pro
Google

$0.189200
vs Claude Haiku 4.6: ↑ 705.1%
vs Gemini 3.1 Flash: ↑ 300%
#20

GPT-5.4
OpenAI

$0.236500 (rounded ~ $0.24)
vs Claude Haiku 4.6: ↑ 906.4%
vs Gemini 3.1 Flash: ↑ 400%
#21

GPT-5.4 Thinking
OpenAI

$0.236500 (rounded ~ $0.24)
vs Claude Haiku 4.6: ↑ 906.4%
vs Gemini 3.1 Flash: ↑ 400%
#22

Claude Sonnet 4.6
Anthropic

$0.282000 (rounded ~ $0.28)
vs Claude Haiku 4.6: ↑ 1100%
vs Gemini 3.1 Flash: ↑ 496.2%
#23

Claude Opus 4.7
Anthropic

$0.470000
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 893.7%
#24

Claude Opus 4.8
Anthropic

$0.470000
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 893.7%
#25

Claude Opus 4.6
Anthropic

$0.470000
vs Claude Haiku 4.6: ↑ 1900%
vs Gemini 3.1 Flash: ↑ 893.7%
#26

GPT-5.5
OpenAI

$0.473000 (rounded ~ $0.47)
vs Claude Haiku 4.6: ↑ 1912.8%
vs Gemini 3.1 Flash: ↑ 900%
#27

GPT-5.5 Instant
OpenAI

$0.473000 (rounded ~ $0.47)
vs Claude Haiku 4.6: ↑ 1912.8%
vs Gemini 3.1 Flash: ↑ 900%
#28

o3 Deep Research
OpenAI

$0.934000 (rounded ~ $0.93)
vs Claude Haiku 4.6: ↑ 3874.5%
vs Gemini 3.1 Flash: ↑ 1874.6%
#29

o3 Pro
OpenAI

$1.868000 (rounded ~ $1.87)
vs Claude Haiku 4.6: ↑ 7848.9%
vs Gemini 3.1 Flash: ↑ 3849.3%
#30

GPT-5.2 Pro
OpenAI

$2.011800 (rounded ~ $2.01)
vs Claude Haiku 4.6: ↑ 8460.9%
vs Gemini 3.1 Flash: ↑ 4153.3%
#31

GPT-5.2 Pro
OpenAI

$2.011800 (rounded ~ $2.01)
vs Claude Haiku 4.6: ↑ 8460.9%
vs Gemini 3.1 Flash: ↑ 4153.3%
✨ 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.

Efficient Personalization: Claude Haiku 4.6 vs. Gemini 3.1 Flash for Email Campaigns

When deploying AI for personalized email campaigns at enterprise scale, understanding the per-token cost is crucial for budget forecasting. Claude Haiku 4.6 and Gemini 3.1 Flash offer competitive pricing and robust capabilities for this use case. Claude Haiku 4.6, with its 200K context window, is designed for rapid, efficient text generation, making it a strong choice for scenarios requiring quick responses and lower per-token expenditure. Gemini 3.1 Flash, boasting a 1M token context window and multimodal support, provides more room for complex personalization inputs and offers a cost-effective entry into Google’s advanced AI offerings. For mobile app developers building scalable email drafting tools, the decision between these two might hinge on the required context length for personalization and the need for integrated tools. While Haiku offers aggressive efficiency for simpler personalization, Gemini Flash provides greater capacity and multimodal potential at a competitive price point, allowing for flexibility in how user data is processed and incorporated into email content.

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.