Claude Opus 4.7 vs Gemini 3.1 Pro for 500K-Token Document Summarization

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 500,000 input tokens × 2,000 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 Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.625000 (rounded ~ $0.63)Best $1.000000Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.018000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.356250 (rounded ~ $0.36) Best Value $0.568000 (rounded ~ $0.57) Most Expensive
Processing Time 34 minutes, 26.10 seconds Slowest 22 minutes, 23.03 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000710Best $0.001131Worst
Tokens per Dollar 1,409,123Best Value 883,803Worst 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 ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ 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

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
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

$0.356250 Total Cost
$0.312500 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
502,000Total Tokens
$0.000710Cost per 1K
1,409,123Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

34m 26s 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

$0.356250 (rounded ~ $0.36)
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) $0.637500 (rounded ~ $0.64) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.356250 (rounded ~ $0.36) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.281250 (rounded ~ $0.28) 44.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.625000 (rounded ~ $0.63)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.356250 (rounded ~ $0.36)
  • Cost per 1K tokens: $0.000710
  • Tokens per dollar: 1,409,123 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, 26.10 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for publishers requiring either high-fidelityinstruction-compliant summaries (Claude) or multimodal-heavy document ingestion (Gemini).

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

$0.568000 (rounded ~ $0.57)
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) $1.018000 (rounded ~ $1.02) Input: $1.000000
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $0.568000 (rounded ~ $0.57) Input: $1.000000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 44.2% 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 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $0.568000 (rounded ~ $0.57)
  • Cost per 1K tokens: $0.001131
  • Tokens per dollar: 883,803 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, 23.03 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for publishers requiring either high-fidelityinstruction-compliant summaries (Claude) or multimodal-heavy document ingestion (Gemini).

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
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.017938 (rounded ~ $0.02) Best Value ↓ 95% cheaper ↓ 96.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 93.9% cheaper ↓ 96.1% cheaper
🥉 Grok 4.3
xAI
 $0.087188 (rounded ~ $0.09) ↓ 75.5% cheaper ↓ 84.7% cheaper
#4 Gemini 3.5 Flash
Google
 $0.107625 (rounded ~ $0.11) ↓ 69.8% cheaper ↓ 81.1% cheaper
#5 Grok 4.20 Beta
xAI
 $0.140500 ↓ 60.6% cheaper ↓ 75.3% cheaper
#6 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↓ 59.7% cheaper ↓ 74.7% cheaper
#7 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↓ 40% cheaper ↓ 62.4% cheaper
#8 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 37.3% cheaper
#9 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 37.3% cheaper
#10 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↑ 0.7% more ↓ 36.8% cheaper
#11 Gemini 3.1 Pro
Google
 $0.568000 (rounded ~ $0.57) ↑ 59.4% more Same price
#12 GPT-5.4
OpenAI
 $0.710000 ↑ 99.3% more ↑ 25% more
#13 GPT-5.4 Thinking
OpenAI
 $0.710000 ↑ 99.3% more ↑ 25% more
#14 GPT-5.5
OpenAI
 $1.420000 ↑ 298.6% more ↑ 150% more
#15 GPT-5.5
OpenAI
 $1.420000 ↑ 298.6% more ↑ 150% more
🏆

Gemini 3.1 Flash Lite
Google

$0.017938 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 95%
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 2.5 Flash
Google

$0.021875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 93.9%
vs Gemini 3.1 Pro: ↓ 96.1%
🥉

Grok 4.3
xAI

$0.087188 (rounded ~ $0.09)
vs Claude Opus 4.7: ↓ 75.5%
vs Gemini 3.1 Pro: ↓ 84.7%
#4

Gemini 3.5 Flash
Google

$0.107625 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 69.8%
vs Gemini 3.1 Pro: ↓ 81.1%
#5

Grok 4.20 Beta
xAI

$0.140500
vs Claude Opus 4.7: ↓ 60.6%
vs Gemini 3.1 Pro: ↓ 75.3%
#6

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 59.7%
vs Gemini 3.1 Pro: ↓ 74.7%
#7

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 62.4%
#8

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.3%
#9

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.3%
#10

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 0.7%
vs Gemini 3.1 Pro: ↓ 36.8%
#11

Gemini 3.1 Pro
Google

$0.568000 (rounded ~ $0.57)
vs Claude Opus 4.7: ↑ 59.4%
vs Gemini 3.1 Pro: Same
#12

GPT-5.4
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs Gemini 3.1 Pro: ↑ 25%
#13

GPT-5.4 Thinking
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs Gemini 3.1 Pro: ↑ 25%
#14

GPT-5.5
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 298.6%
vs Gemini 3.1 Pro: ↑ 150%
#15

GPT-5.5
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 298.6%
vs Gemini 3.1 Pro: ↑ 150%
✨ 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 newsletter publishers handling deep research, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the nature of your source material. Summarizing 500K-token documents requires models that not only maintain high recall over long context windows but also demonstrate nuance in synthesizing disparate themes into a coherent narrative.

Claude Opus 4.7 is frequently favored for tasks requiring high-fidelity instruction following and structured output. If your research workflow involves strict formatting—such as turning technical whitepapers into specific newsletter sections—Opus excels at adhering to complex, multi-step stylistic constraints. It consistently preserves the authorial voice and structural integrity of the input, making it an excellent choice for summaries that need to be ready for publication with minimal editing.

Conversely, Gemini 3.1 Pro shines in its native multimodal handling and massive context throughput. If your summarization pipeline requires integrating information from embedded charts, tables, or even supplementary video content within those 500K tokens, Gemini’s native vision capabilities provide a distinct advantage. Its architecture is optimized for rapid extraction across vast datasets, making it highly efficient for iterative research where you are querying the same document for different angles. The decision often hinges on whether your priority is the refined, instruction-heavy output of Claude or the high-volume, multimodal-first ingestion capacity of Gemini. Both represent the current ceiling for deep-context document processing.

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.