Claude Opus 4.7 vs Gemini 3.1 Pro for 1M-Token Newsletter Intros

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 1,000,000 input tokens × 500 output tokens
Comparison Mode
⚡ 15% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 15% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (15% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 500 500
Cost Breakdown
Input Cost $5.000000Worst $4.000000Best
Output Cost $0.012500 (rounded ~ $0.01)Worst $0.009000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $4.337500 (rounded ~ $4.34) Most Expensive $3.469000 (rounded ~ $3.47) Best Value
Processing Time 1 hour, 8 minutes, 37.62 seconds Slowest 44 minutes, 36.52 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.004335Worst $0.003467Best
Tokens per Dollar 230,663Worst Value 288,412Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $4.000000Best
Output Cost / 1M (Base) $25.000000Worst $18.000000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: No optimizations applied
$4.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: No optimizations applied
$18.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
15
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
Use Batch API (50% discount)
15%
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

$4.337500 Total Cost
$4.250000 Input Cost
$0.012500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,000,500Total Tokens
$0.004335Cost per 1K
230,663Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

68m 37s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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 Opus 4.7 Anthropic 1000000

$4.337500 (rounded ~ $4.34)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 15% Cached
👁️
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) $5.012500 (rounded ~ $5.01) Input: $5.000000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $4.337500 (rounded ~ $4.34) Input: $5.000000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.675000 (rounded ~ $0.68) 13.5% discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $4.337500 (rounded ~ $4.34)
  • Cost per 1K tokens: $0.004335
  • Tokens per dollar: 230,663 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: 1 hour, 8 minutes, 37.62 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Advanced RAG systemscomplex reasoning tasksagentic workflowsand applications requiring deep understanding of multimodal inputs or highly nuanced instruction following.

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 →

Gemini 3.1 Pro Google 2000000

$3.469000 (rounded ~ $3.47)
Total Cost
⚡ 15% Cached
👁️
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) $4.009000 Input: $4.000000
Output: $0.009000
Optimized Cost $3.469000 (rounded ~ $3.47) Input: $4.000000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.540000 13.5% discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500 output tokens:

  • Input Cost: $4.000000
  • Output Cost: $0.009000
  • Total Cost: $3.469000 (rounded ~ $3.47)
  • Cost per 1K tokens: $0.003467
  • Tokens per dollar: 288,412 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: 44 minutes, 36.52 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Advanced RAG systemscomplex reasoning tasksagentic workflowsand applications requiring deep understanding of multimodal inputs or highly nuanced instruction following.

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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 500
Cached Tokens: 15%
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Grok 4.20 Beta
xAI
 $1.733000 (rounded ~ $1.73) Best Value ↓ 60% cheaper ↓ 50% cheaper
🥈 Gemini 2.5 Pro
Google
 $2.170000 ↓ 50% cheaper ↓ 37.4% cheaper
🥉 Gemini 3.1 Pro
Google
 $3.469000 (rounded ~ $3.47) ↓ 20% cheaper Same price
#4 GPT-5.4
OpenAI
 $4.336250 (rounded ~ $4.34) ↓ 0% cheaper ↑ 25% more
#5 GPT-5.4 Thinking
OpenAI
 $4.336250 (rounded ~ $4.34) ↓ 0% cheaper ↑ 25% more
#6 GPT-5.4 Thinking
OpenAI
 $4.336250 (rounded ~ $4.34) ↓ 0% cheaper ↑ 25% more
🏆

Grok 4.20 Beta
xAI

$1.733000 (rounded ~ $1.73)
vs Claude Opus 4.7: ↓ 60%
vs Gemini 3.1 Pro: ↓ 50%
🥈

Gemini 2.5 Pro
Google

$2.170000
vs Claude Opus 4.7: ↓ 50%
vs Gemini 3.1 Pro: ↓ 37.4%
🥉

Gemini 3.1 Pro
Google

$3.469000 (rounded ~ $3.47)
vs Claude Opus 4.7: ↓ 20%
vs Gemini 3.1 Pro: Same
#4

GPT-5.4
OpenAI

$4.336250 (rounded ~ $4.34)
vs Claude Opus 4.7: ↓ 0%
vs Gemini 3.1 Pro: ↑ 25%
#5

GPT-5.4 Thinking
OpenAI

$4.336250 (rounded ~ $4.34)
vs Claude Opus 4.7: ↓ 0%
vs Gemini 3.1 Pro: ↑ 25%
#6

GPT-5.4 Thinking
OpenAI

$4.336250 (rounded ~ $4.34)
vs Claude Opus 4.7: ↓ 0%
vs Gemini 3.1 Pro: ↑ 25%
✨ 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 academic research into advanced AI for personalized newsletters, comparing top-tier models like Claude Opus 4.7 and Gemini 3.1 Pro offers insights into balancing sophisticated reasoning with multimodal capabilities. Both models boast large context windows and strong performance, making them suitable for complex personalization tasks that might involve analyzing subscriber data or style guides to craft unique introductions.

Choosing Between Frontier Models

When deciding between Opus 4.7 and Gemini 3.1 Pro for generating personalized newsletter intros, consider:

  • Reasoning Depth vs. Multimodality: Opus 4.7 is noted for its advanced reasoning and coding abilities, while Gemini 3.1 Pro offers robust multimodal understanding, which could be leveraged if subscriber data includes visual elements.
  • Context Window Utility: Both models handle large contexts well, ensuring that extensive subscriber profiles or previous interactions can inform the personalized intro.
  • Instruction Following: Opus 4.7 has shown improvements in following complex instructions, crucial for nuanced personalization. Gemini 3.1 Pro is also noted for its agentic performance.
  • Ecosystem Integration: The platforms and tools available for each model can influence the ease of integration into existing research workflows.

This comparison is vital for researchers aiming to understand which model best supports complex personalization strategies, balancing raw intelligence with specific feature sets for academic exploration.

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.