Gemini 3.1 Pro vs Claude Opus 4.7 for 1 Million Token Email Generation

Gemini 3.1 Pro vs Claude Opus 4.7
Complete Comparison: 500,000 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 Gemini 3.1 Pro
Google
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (10% cached)
Input Tokens 500,000 500,000
Output Tokens 600 600
Cost Breakdown
Input Cost $2.000000Best $2.500000Worst
Output Cost $0.010800Best $0.015000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.830800 Best Value $2.290000 Most Expensive
Processing Time 22 minutes, 19.29 seconds Fastest 34 minutes, 20.34 seconds Slowest
Tokens per Second 400Fastest 260Slowest
Time to First Token 220ms Best 400ms Worst
Cost per 1K tokens $0.003657Best $0.004575Worst
Tokens per Dollar 273,432Best Value 218,603Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $4.000000Best $5.000000Worst
Output Cost / 1M (Base) $18.000000Best $25.000000Worst
Input Cost / 1M (Optimized) $4.000000Best
Optimizations: No optimizations applied
$5.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $18.000000Best
Optimizations: No optimizations applied
$25.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
10
✓ 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 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
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

$1.830800 Total Cost
$1.800000 Input Cost
$0.010800 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
500,600Total Tokens
$0.003657Cost per 1K
273,432Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

22m 19s Processing Time
400 Tokens/Second
220ms Time to First Token
374 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 3.1 Pro Google 2000000

$1.830800
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) $2.010800 Input: $2.000000
Output: $0.010800
Optimized Cost $1.830800 Input: $2.000000
Output: $0.010800
Unit: $0.000000
Fees: $0.000000
Total Savings $0.180000 9.0% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 600 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.010800
  • Total Cost: $1.830800
  • Cost per 1K tokens: $0.003657
  • Tokens per dollar: 273,432 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 22 minutes, 19.29 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

High-volumedeeply personalized email campaigns requiring nuanced language and potentially external data integration for enterprise-scale operations.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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 Opus 4.7 Anthropic 1000000

$2.290000
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) $2.515000 (rounded ~ $2.52) Input: $2.500000
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $2.290000 Input: $2.500000
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 8.9% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 600 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $2.290000
  • Cost per 1K tokens: $0.004575
  • Tokens per dollar: 218,603 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: 34 minutes, 20.34 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

High-volumedeeply personalized email campaigns requiring nuanced language and potentially external data integration for enterprise-scale operations.

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 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 600
Cached Tokens: 10%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs Claude Opus 4.7
🏆 Gemini 3.1 Flash Lite
Google
 $0.114650 (rounded ~ $0.11) Best Value ↓ 93.7% cheaper ↓ 95% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.138000 (rounded ~ $0.14) ↓ 92.5% cheaper ↓ 94% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.458600 (rounded ~ $0.46) ↓ 75% cheaper ↓ 80% cheaper
#4 Grok 4.3
xAI
 $0.570250 ↓ 68.9% cheaper ↓ 75.1% cheaper
#5 Gemini 3.5 Flash
Google
 $0.687900 (rounded ~ $0.69) ↓ 62.4% cheaper ↓ 70% cheaper
#6 Grok 4.20 Beta
xAI
 $0.913600 (rounded ~ $0.91) ↓ 50.1% cheaper ↓ 60.1% cheaper
#7 Gemini 2.5 Pro
Google
 $1.146500 (rounded ~ $1.15) ↓ 37.4% cheaper ↓ 49.9% cheaper
#8 Claude Sonnet 4.6
Anthropic
 $1.374000 (rounded ~ $1.37) ↓ 25% cheaper ↓ 40% cheaper
#9 GPT-5.4
OpenAI
 $2.288500 (rounded ~ $2.29) ↑ 25% more ↓ 0.1% cheaper
#10 GPT-5.4 Thinking
OpenAI
 $2.288500 (rounded ~ $2.29) ↑ 25% more ↓ 0.1% cheaper
#11 Claude Opus 4.7
Anthropic
 $2.290000 ↑ 25.1% more Same price
#12 Claude Opus 4.8
Anthropic
 $2.290000 ↑ 25.1% more Same price
#13 Claude Opus 4.6
Anthropic
 $2.290000 ↑ 25.1% more Same price
#14 GPT-5.5
OpenAI
 $4.577000 (rounded ~ $4.58) ↑ 150% more ↑ 99.9% more
#15 GPT-5.5
OpenAI
 $4.577000 (rounded ~ $4.58) ↑ 150% more ↑ 99.9% more
🏆

Gemini 3.1 Flash Lite
Google

$0.114650 (rounded ~ $0.11)
vs Gemini 3.1 Pro: ↓ 93.7%
vs Claude Opus 4.7: ↓ 95%
🥈

Gemini 2.5 Flash
Google

$0.138000 (rounded ~ $0.14)
vs Gemini 3.1 Pro: ↓ 92.5%
vs Claude Opus 4.7: ↓ 94%
🥉

Gemini 3.1 Flash
Google

$0.458600 (rounded ~ $0.46)
vs Gemini 3.1 Pro: ↓ 75%
vs Claude Opus 4.7: ↓ 80%
#4

Grok 4.3
xAI

$0.570250
vs Gemini 3.1 Pro: ↓ 68.9%
vs Claude Opus 4.7: ↓ 75.1%
#5

Gemini 3.5 Flash
Google

$0.687900 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 62.4%
vs Claude Opus 4.7: ↓ 70%
#6

Grok 4.20 Beta
xAI

$0.913600 (rounded ~ $0.91)
vs Gemini 3.1 Pro: ↓ 50.1%
vs Claude Opus 4.7: ↓ 60.1%
#7

Gemini 2.5 Pro
Google

$1.146500 (rounded ~ $1.15)
vs Gemini 3.1 Pro: ↓ 37.4%
vs Claude Opus 4.7: ↓ 49.9%
#8

Claude Sonnet 4.6
Anthropic

$1.374000 (rounded ~ $1.37)
vs Gemini 3.1 Pro: ↓ 25%
vs Claude Opus 4.7: ↓ 40%
#9

GPT-5.4
OpenAI

$2.288500 (rounded ~ $2.29)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↓ 0.1%
#10

GPT-5.4 Thinking
OpenAI

$2.288500 (rounded ~ $2.29)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↓ 0.1%
#11

Claude Opus 4.7
Anthropic

$2.290000
vs Gemini 3.1 Pro: ↑ 25.1%
vs Claude Opus 4.7: Same
#12

Claude Opus 4.8
Anthropic

$2.290000
vs Gemini 3.1 Pro: ↑ 25.1%
vs Claude Opus 4.7: Same
#13

Claude Opus 4.6
Anthropic

$2.290000
vs Gemini 3.1 Pro: ↑ 25.1%
vs Claude Opus 4.7: Same
#14

GPT-5.5
OpenAI

$4.577000 (rounded ~ $4.58)
vs Gemini 3.1 Pro: ↑ 150%
vs Claude Opus 4.7: ↑ 99.9%
#15

GPT-5.5
OpenAI

$4.577000 (rounded ~ $4.58)
vs Gemini 3.1 Pro: ↑ 150%
vs Claude Opus 4.7: ↑ 99.9%
✨ 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.

Enterprise Email Personalization: Gemini 3.1 Pro vs. Claude Opus 4.7

When scaling personalized email campaigns to millions per month, choosing the right AI model is critical for balancing cost, quality, and performance. Gemini 3.1 Pro and Claude Opus 4.7 represent two top-tier options, each with distinct strengths for enterprise-level text generation. Gemini 3.1 Pro, with its extensive multimodal capabilities and a 2M token context window, offers robust versatility. It excels when personalization requires integrating diverse data sources or understanding complex user profiles. Claude Opus 4.7, known for its sophisticated reasoning and adherence to instructions within its 1M token context window, is ideal for crafting highly coherent and contextually appropriate email content, especially for complex narratives or sensitive communications. Enterprise architects must consider factors beyond raw output, such as API latency, integration ease, and the specific nuances of their personalization strategy when evaluating these powerful models for mass email generation. The choice often hinges on whether the workload leans more towards broad data integration and multimodality (Gemini) or deep, instruction-following text generation (Claude Opus).

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.