Gemini 3.1 Pro vs Claude Opus 4.7 for 400,000-Token Monthly SEO Campaigns

Claude Opus 4.7 has been replaced by Claude Opus 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Opus 5 pricing →  ·  All recent pricing changes

Gemini 3.1 Pro vs Claude Opus 4.7
Complete Comparison: 400,000 input tokens × 4,000 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 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 400,000 400,000
Output Tokens 4,000 4,000
Cost Breakdown
Input Cost $0.800000Worst $0.500000Best
Output Cost $0.036000 (rounded ~ $0.04)Worst $0.025000 (rounded ~ $0.03)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.476000 (rounded ~ $0.48) Most Expensive $0.300000 Best Value
Processing Time 18 minutes, 0.88 seconds Fastest 27 minutes, 42.80 seconds Slowest
Tokens per Second 400Fastest 260Slowest
Time to First Token 220ms Best 400ms Worst
Cost per 1K tokens $0.001178Worst $0.000743Best
Tokens per Dollar 848,739Worst Value 1,346,667Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Worst $1.250000Best
Output Cost / 1M (Base) $9.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $1.000000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $4.500000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
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 3.1 Pro
GoogleMax Context: 1,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
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

$0.400000 Input Cost
$0.036000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
404,000Total Tokens
$0.001178Cost per 1K
848,739Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

18m 0s 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 1000000

$0.476000 (rounded ~ $0.48)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 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) $0.836000 (rounded ~ $0.84) Input: $0.800000
Output: $0.036000 (rounded ~ $0.04)
Optimized Cost $0.476000 (rounded ~ $0.48) Input: $0.800000
Output: $0.036000 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.360000 43.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 400,000 input tokens and 4,000 output tokens:

  • Input Cost: $0.800000
  • Output Cost: $0.036000 (rounded ~ $0.04)
  • Total Cost: $0.476000 (rounded ~ $0.48)
  • Cost per 1K tokens: $0.001178
  • Tokens per dollar: 848,739 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 18 minutes, 0.88 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.1 Pro for research-heavyfact-based content; use Claude Opus 4.7 for high-qualitycreative prose and brand-aligned drafting.

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

$0.300000
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) $0.525000 (rounded ~ $0.53) Input: $0.500000
Output: $0.025000 (rounded ~ $0.03)
Optimized Cost $0.300000 Input: $0.500000
Output: $0.025000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 42.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 400,000 input tokens and 4,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.025000 (rounded ~ $0.03)
  • Total Cost: $0.300000
  • Cost per 1K tokens: $0.000743
  • Tokens per dollar: 1,346,667 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: 27 minutes, 42.80 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Use Gemini 3.1 Pro for research-heavyfact-based content; use Claude Opus 4.7 for high-qualitycreative prose and brand-aligned drafting.

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: 400,000
Output Tokens: 4,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs Claude Opus 4.7
🏆 Gemini 3.1 Flash Lite
Google
$0.015250 (rounded ~ $0.02) Best Value ↓ 96.8% cheaper ↓ 94.9% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.019000 (rounded ~ $0.02) ↓ 96% cheaper ↓ 93.7% cheaper
🥉 Gemini 2.5 Flash
Google
$0.019000 (rounded ~ $0.02) ↓ 96% cheaper ↓ 93.7% cheaper
#4 Gemini 3.8 Flash
Google
$0.045000 (rounded ~ $0.05) ↓ 90.5% cheaper ↓ 85% cheaper
#5 GPT-5.6 Luna
OpenAI
$0.061000 (rounded ~ $0.06) ↓ 87.2% cheaper ↓ 79.7% cheaper
#6 Gemini 3.6 Flash
Google
$0.090000 ↓ 81.1% cheaper ↓ 70% cheaper
#7 Gemini 3.5 Flash
Google
$0.091500 (rounded ~ $0.09) ↓ 80.8% cheaper ↓ 69.5% cheaper
#8 Claude Sonnet 5
Anthropic
$0.120000 ↓ 74.8% cheaper ↓ 60% cheaper
#9 Gemini 3.1 Flash
Google
$0.122000 (rounded ~ $0.12) ↓ 74.4% cheaper ↓ 59.3% cheaper
#10 GPT-5.6 Terra
OpenAI
$0.152500 (rounded ~ $0.15) ↓ 68% cheaper ↓ 49.2% cheaper
#11 Claude Sonnet 4.6
Anthropic
$0.180000 ↓ 62.2% cheaper ↓ 40% cheaper
#12 Claude Opus 4.7
Anthropic
$0.300000 ↓ 37% cheaper Same price
#13 Claude Opus 5
Anthropic
$0.300000 ↓ 37% cheaper Same price
#14 Claude Opus 4.8
Anthropic
$0.300000 ↓ 37% cheaper Same price
#15 Claude Opus 4.6
Anthropic
$0.300000 ↓ 37% cheaper Same price
#16 Gemini 2.5 Pro
Google
$0.305000 (rounded ~ $0.31) ↓ 35.9% cheaper ↑ 1.7% more
#17 GPT-5.6 Sol
OpenAI
$0.305000 (rounded ~ $0.31) ↓ 35.9% cheaper ↑ 1.7% more
#18 Grok 4.3
xAI
$0.456000 (rounded ~ $0.46) ↓ 4.2% cheaper ↑ 52% more
#19 Grok 4.20 Beta
xAI
$0.456000 (rounded ~ $0.46) ↓ 4.2% cheaper ↑ 52% more
#20 Claude Fable 5.1
Anthropic
$0.562500 (rounded ~ $0.56) ↑ 18.2% more ↑ 87.5% more
#21 Claude Mythos 5.1
Anthropic
$0.562500 (rounded ~ $0.56) ↑ 18.2% more ↑ 87.5% more
#22 GPT-5.4
OpenAI
$0.595000 (rounded ~ $0.60) ↑ 25% more ↑ 98.3% more
#23 GPT-5.4 Thinking
OpenAI
$0.595000 (rounded ~ $0.60) ↑ 25% more ↑ 98.3% more
#24 Claude Fable 5
Anthropic
$0.600000 ↑ 26.1% more ↑ 100% more
#25 Claude Mythos 5
Anthropic
$0.600000 ↑ 26.1% more ↑ 100% more
#26 GPT-5.5
OpenAI
$1.190000 ↑ 150% more ↑ 296.7% more
#27 GPT-6 Astra
OpenAI
$2.400000 ↑ 404.2% more ↑ 700% more
#28 GPT-6 Astra
OpenAI
$2.400000 ↑ 404.2% more ↑ 700% more
🏆

Gemini 3.1 Flash Lite
Google

$0.015250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 96.8%
vs Claude Opus 4.7: ↓ 94.9%
🥈

Gemini 3.5 Flash-Lite
Google

$0.019000 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 96%
vs Claude Opus 4.7: ↓ 93.7%
🥉

Gemini 2.5 Flash
Google

$0.019000 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↓ 96%
vs Claude Opus 4.7: ↓ 93.7%
#4

Gemini 3.8 Flash
Google

$0.045000 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 90.5%
vs Claude Opus 4.7: ↓ 85%
#5

GPT-5.6 Luna
OpenAI

$0.061000 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 87.2%
vs Claude Opus 4.7: ↓ 79.7%
#6

Gemini 3.6 Flash
Google

$0.090000
vs Gemini 3.1 Pro: ↓ 81.1%
vs Claude Opus 4.7: ↓ 70%
#7

Gemini 3.5 Flash
Google

$0.091500 (rounded ~ $0.09)
vs Gemini 3.1 Pro: ↓ 80.8%
vs Claude Opus 4.7: ↓ 69.5%
#8

Claude Sonnet 5
Anthropic

$0.120000
vs Gemini 3.1 Pro: ↓ 74.8%
vs Claude Opus 4.7: ↓ 60%
#9

Gemini 3.1 Flash
Google

$0.122000 (rounded ~ $0.12)
vs Gemini 3.1 Pro: ↓ 74.4%
vs Claude Opus 4.7: ↓ 59.3%
#10

GPT-5.6 Terra
OpenAI

$0.152500 (rounded ~ $0.15)
vs Gemini 3.1 Pro: ↓ 68%
vs Claude Opus 4.7: ↓ 49.2%
#11

Claude Sonnet 4.6
Anthropic

$0.180000
vs Gemini 3.1 Pro: ↓ 62.2%
vs Claude Opus 4.7: ↓ 40%
#12

Claude Opus 4.7
Anthropic

$0.300000
vs Gemini 3.1 Pro: ↓ 37%
vs Claude Opus 4.7: Same
#13

Claude Opus 5
Anthropic

$0.300000
vs Gemini 3.1 Pro: ↓ 37%
vs Claude Opus 4.7: Same
#14

Claude Opus 4.8
Anthropic

$0.300000
vs Gemini 3.1 Pro: ↓ 37%
vs Claude Opus 4.7: Same
#15

Claude Opus 4.6
Anthropic

$0.300000
vs Gemini 3.1 Pro: ↓ 37%
vs Claude Opus 4.7: Same
#16

Gemini 2.5 Pro
Google

$0.305000 (rounded ~ $0.31)
vs Gemini 3.1 Pro: ↓ 35.9%
vs Claude Opus 4.7: ↑ 1.7%
#17

GPT-5.6 Sol
OpenAI

$0.305000 (rounded ~ $0.31)
vs Gemini 3.1 Pro: ↓ 35.9%
vs Claude Opus 4.7: ↑ 1.7%
#18

Grok 4.3
xAI

$0.456000 (rounded ~ $0.46)
vs Gemini 3.1 Pro: ↓ 4.2%
vs Claude Opus 4.7: ↑ 52%
#19

Grok 4.20 Beta
xAI

$0.456000 (rounded ~ $0.46)
vs Gemini 3.1 Pro: ↓ 4.2%
vs Claude Opus 4.7: ↑ 52%
#20

Claude Fable 5.1
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.1 Pro: ↑ 18.2%
vs Claude Opus 4.7: ↑ 87.5%
#21

Claude Mythos 5.1
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.1 Pro: ↑ 18.2%
vs Claude Opus 4.7: ↑ 87.5%
#22

GPT-5.4
OpenAI

$0.595000 (rounded ~ $0.60)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 98.3%
#23

GPT-5.4 Thinking
OpenAI

$0.595000 (rounded ~ $0.60)
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 98.3%
#24

Claude Fable 5
Anthropic

$0.600000
vs Gemini 3.1 Pro: ↑ 26.1%
vs Claude Opus 4.7: ↑ 100%
#25

Claude Mythos 5
Anthropic

$0.600000
vs Gemini 3.1 Pro: ↑ 26.1%
vs Claude Opus 4.7: ↑ 100%
#26

GPT-5.5
OpenAI

$1.190000
vs Gemini 3.1 Pro: ↑ 150%
vs Claude Opus 4.7: ↑ 296.7%
#27

GPT-6 Astra
OpenAI

$2.400000
vs Gemini 3.1 Pro: ↑ 404.2%
vs Claude Opus 4.7: ↑ 700%
#28

GPT-6 Astra
OpenAI

$2.400000
vs Gemini 3.1 Pro: ↑ 404.2%
vs Claude Opus 4.7: ↑ 700%
✨ 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.

For freelance copywriters scaling SEO production, choosing between Gemini 3.1 Pro and Claude Opus 4.7 is a strategic decision that hinges on how you balance research depth with creative nuance. Both models sit at the top tier of performance, but they serve distinct roles in a high-volume content pipeline.

Gemini 3.1 Pro shines in scenarios requiring heavy research and integration with real-time data. Its ability to synthesize information from large, varied datasets makes it an ideal engine for content that needs to be factually anchored, current, and optimized for search intent. If your SEO strategy involves summarizing industry reports, analyzing competitor backlinks, or incorporating technical data that demands high accuracy, Gemini’s reasoning and search grounding provide a distinct advantage. It effectively acts as a research assistant that can handle the heavy lifting of information gathering before a single word of copy is drafted.

Claude Opus 4.7, by contrast, is often the preferred choice for the drafting phase itself. It is widely regarded for its ability to produce sophisticated, tasteful, and structurally sound prose that avoids the generic “AI-sounding” pitfalls. When the goal is to create long-form content that captures a brand’s unique voice and maintains human-like flow, Claude excels at following complex stylistic instructions. Its refined reasoning capabilities allow it to handle nuanced tone adjustments and multi-step creative briefs without losing focus. For most scaling agencies, the optimal workflow uses Gemini for deep research and Claude for high-quality, final-polish content generation.

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.