Claude Opus 4.7 vs Gemini 3.1 Pro for 500 Million-Token A/B Testing 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Claude Opus 4.7 has been replaced by Claude Opus 5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

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 500,000,000 input tokens × 2,500 output tokens
Comparison Mode
🖼️ 10000 Images ⚡ 85% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 85% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (10000 images, 85% cached)
Input Tokens 500,000,000 500,000,000
Output Tokens 2,500 2,500
Cost Breakdown
Input Cost $631.450000Best $1010.320000Worst
Output Cost $0.015625 (rounded ~ $0.02)Best $0.022500 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $148.406375 (rounded ~ $148.41) Best Value $237.447700 (rounded ~ $237.45) Most Expensive
Processing Time 577 hours, 28 minutes, 58.16 seconds Slowest 375 hours, 21 minutes, 49.87 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000294Best $0.000470Worst
Tokens per Dollar 3,403,914Best Value 2,127,468Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $2.000000Worst
Output Cost / 1M (Base) $6.250000Best $9.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$4.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
10000
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
85
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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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)
85%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$148.406375 Total Cost
$94.717500 Input Cost
$0.015625 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
505,162,500Total Tokens
$0.000294Cost per 1K
3,403,914Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

34648m 58s 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

$148.406375 (rounded ~ $148.41)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 85% 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) $631.465625 (rounded ~ $631.47) Input: $631.450000
Output: $0.015625 (rounded ~ $0.02)
Optimized Cost $148.406375 (rounded ~ $148.41) Input: $631.450000
Output: $0.015625 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $483.059250 76.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000,000 input tokens and 2,500 output tokens:

  • Input Cost: $631.450000
  • Output Cost: $0.015625 (rounded ~ $0.02)
  • Total Cost: $148.406375 (rounded ~ $148.41)
  • Cost per 1K tokens: $0.000294
  • Tokens per dollar: 3,403,914 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: 577 hours, 28 minutes, 58.16 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 4.7 is best for complexcreative-heavy tasks; Gemini 3.1 Pro is superior for multimodalspeed-oriented pipelines.

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 1000000

$237.447700 (rounded ~ $237.45)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 85% 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) $1010.342500 (rounded ~ $1,010.34) Input: $1010.320000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $237.447700 (rounded ~ $237.45) Input: $1010.320000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $772.894800 (rounded ~ $772.89) 76.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000,000 input tokens and 2,500 output tokens:

  • Input Cost: $1010.320000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $237.447700 (rounded ~ $237.45)
  • Cost per 1K tokens: $0.000470
  • Tokens per dollar: 2,127,468 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: 375 hours, 21 minutes, 49.87 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 4.7 is best for complexcreative-heavy tasks; Gemini 3.1 Pro is superior for multimodalspeed-oriented pipelines.

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: 500,000,000
Output Tokens: 2,500
Batch API: Enabled (50% discount)
Cached Tokens: 85%
Images: 10000 (Medium Resolution)
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Frontier Models for High-Volume Marketing Workflows

When you are managing 500 million tokens of marketing copy every month, the choice between Claude Opus 4.7 and Gemini 3.1 Pro comes down to your agency’s specific strategic requirements. Both models offer massive context windows, but they serve different roles in an enterprise-grade translation and content pipeline.

Claude Opus 4.7 excels in scenarios where reasoning complexity and instruction-following are non-negotiable. For agencies that prioritize high-fidelity, nuanced marketing copy that requires deep understanding of buyer psychology, Opus 4.7’s ability to self-correct and maintain logical consistency is a major asset. It is the preferred choice for campaigns where the creative variations must be highly distinct yet strictly adherent to complex brand standards.

Conversely, Gemini 3.1 Pro offers distinct advantages in speed and multimodal integration. If your A/B testing workflow involves analyzing massive amounts of campaign assets, charts, or visual references alongside text, Gemini’s native multimodal processing can significantly streamline your pipeline. It is particularly effective for teams that need to quickly synthesize data from varied formats and turn them into actionable copy adjustments at scale.

The decision ultimately rests on your workflow’s primary constraint: if you need the highest tier of logical, creative fidelity, go with Claude. If your pipeline demands rapid, multimodal processing and integration, Gemini provides a highly effective alternative. Both are capable of handling your 500 million-token monthly requirements, empowering your agency to deliver consistent results faster.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.

Related model pricing

Claude Opus 4.7 currently costs $5.00 / $25.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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