Claude Opus 4.7 vs Gemini 3.1 Pro for 500K-Token Legal Review Pipelines

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 32 minutes, 49.56 seconds Slowest 21 minutes, 20.28 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
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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

32m 49s Processing Time
260 Tokens/Second
400ms Time to First Token
255 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: 32 minutes, 49.56 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for complexhigh-stakes contract logic and Gemini 3.1 Pro for high-volumemultimodal document ingestion 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

$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: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 21 minutes, 20.28 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for complexhigh-stakes contract logic and Gemini 3.1 Pro for high-volumemultimodal document ingestion 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
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 3.5 Flash-Lite
Google
 $0.021875 (rounded ~ $0.02) ↓ 93.9% cheaper ↓ 96.1% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 93.9% cheaper ↓ 96.1% cheaper
#4 GPT-5.6 Luna
OpenAI
 $0.071750 (rounded ~ $0.07) ↓ 79.9% cheaper ↓ 87.4% cheaper
#5 Gemini 3.6 Flash
Google
 $0.106875 (rounded ~ $0.11) ↓ 70% cheaper ↓ 81.2% cheaper
#6 Gemini 3.5 Flash
Google
 $0.107625 (rounded ~ $0.11) ↓ 69.8% cheaper ↓ 81.1% cheaper
#7 Claude Sonnet 5
Anthropic
 $0.142500 (rounded ~ $0.14) ↓ 60% cheaper ↓ 74.9% cheaper
#8 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↓ 59.7% cheaper ↓ 74.7% cheaper
#9 GPT-5.6 Terra
OpenAI
 $0.179375 ↓ 49.6% cheaper ↓ 68.4% cheaper
#10 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↓ 40% cheaper ↓ 62.4% cheaper
#11 Claude Opus 5
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 37.3% cheaper
#12 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 37.3% cheaper
#13 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 37.3% cheaper
#14 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↑ 0.7% more ↓ 36.8% cheaper
#15 GPT-5.6 Sol
OpenAI
 $0.358750 (rounded ~ $0.36) ↑ 0.7% more ↓ 36.8% cheaper
#16 Grok 4.3
xAI
 $0.558000 (rounded ~ $0.56) ↑ 56.6% more ↓ 1.8% cheaper
#17 Grok 4.20 Beta
xAI
 $0.558000 (rounded ~ $0.56) ↑ 56.6% more ↓ 1.8% cheaper
#18 Gemini 3.1 Pro
Google
 $0.568000 (rounded ~ $0.57) ↑ 59.4% more Same price
#19 GPT-5.4
OpenAI
 $0.710000 ↑ 99.3% more ↑ 25% more
#20 GPT-5.4 Thinking
OpenAI
 $0.710000 ↑ 99.3% more ↑ 25% more
#21 Claude Fable 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 100% more ↑ 25.4% more
#22 Claude Mythos 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 100% more ↑ 25.4% more
#23 GPT-5.5
OpenAI
 $1.420000 ↑ 298.6% more ↑ 150% more
#24 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 3.5 Flash-Lite
Google

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

Gemini 2.5 Flash
Google

$0.021875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 93.9%
vs Gemini 3.1 Pro: ↓ 96.1%
#4

GPT-5.6 Luna
OpenAI

$0.071750 (rounded ~ $0.07)
vs Claude Opus 4.7: ↓ 79.9%
vs Gemini 3.1 Pro: ↓ 87.4%
#5

Gemini 3.6 Flash
Google

$0.106875 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81.2%
#6

Gemini 3.5 Flash
Google

$0.107625 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 69.8%
vs Gemini 3.1 Pro: ↓ 81.1%
#7

Claude Sonnet 5
Anthropic

$0.142500 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 60%
vs Gemini 3.1 Pro: ↓ 74.9%
#8

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 59.7%
vs Gemini 3.1 Pro: ↓ 74.7%
#9

GPT-5.6 Terra
OpenAI

$0.179375
vs Claude Opus 4.7: ↓ 49.6%
vs Gemini 3.1 Pro: ↓ 68.4%
#10

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 62.4%
#11

Claude Opus 5
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.3%
#12

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.3%
#13

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.3%
#14

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 0.7%
vs Gemini 3.1 Pro: ↓ 36.8%
#15

GPT-5.6 Sol
OpenAI

$0.358750 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 0.7%
vs Gemini 3.1 Pro: ↓ 36.8%
#16

Grok 4.3
xAI

$0.558000 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 56.6%
vs Gemini 3.1 Pro: ↓ 1.8%
#17

Grok 4.20 Beta
xAI

$0.558000 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 56.6%
vs Gemini 3.1 Pro: ↓ 1.8%
#18

Gemini 3.1 Pro
Google

$0.568000 (rounded ~ $0.57)
vs Claude Opus 4.7: ↑ 59.4%
vs Gemini 3.1 Pro: Same
#19

GPT-5.4
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs Gemini 3.1 Pro: ↑ 25%
#20

GPT-5.4 Thinking
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs Gemini 3.1 Pro: ↑ 25%
#21

Claude Fable 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25.4%
#22

Claude Mythos 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25.4%
#23

GPT-5.5
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 298.6%
vs Gemini 3.1 Pro: ↑ 150%
#24

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.

Choosing the Right Engine for Legal Analysis

In the context of game studio legal workflows—where you are juggling IP licensing agreements, NDAs, and contractor terms—the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the specific nature of your review task. Both models excel at handling long-form document ingestion, but their underlying strengths differ significantly.

Claude Opus 4.7 has established a reputation for high-fidelity reasoning and robust instruction following. When your legal review involves multi-step logical verification, such as ensuring a clause from an old licensing agreement doesn’t conflict with a new distribution deal, Opus 4.7’s structured thinking process tends to produce more reliable, nuance-aware outputs. It is particularly adept at maintaining strict guardrails throughout a complex document review.

Conversely, Gemini 3.1 Pro is often the superior choice for high-throughput, multimodal ingestion. If your legal pipeline requires parsing diverse document types—such as scanned PDFs, handwritten annotations, or complex charts within contracts—Gemini’s native multimodal architecture is highly effective. It offers significant advantages for teams that prioritize scale, large-context retrieval, and performance across varied file formats. While Opus 4.7 captures the subtle logical traps in a contract, Gemini 3.1 Pro excels at the rapid, broad-spectrum analysis needed for high-volume document triage. For a AAA game studio balancing developer productivity with legal due diligence, the decision hinges on whether your priority is pinpoint accuracy on single documents or rapid intake across your entire portfolio.

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.