Claude Opus 4.7 vs Gemini 3.1 Pro: 1-Million-Token Legal Review Workflows

Claude Opus 4.7 has been replaced by Claude Opus 5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: 1,000,000 input tokens × 3,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% 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) (20% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 3,000 3,000
Cost Breakdown
Input Cost $1.250000Best $2.000000Worst
Output Cost $0.018750 (rounded ~ $0.02)Best $0.027000 (rounded ~ $0.03)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.043750 (rounded ~ $1.04) Best Value $1.667000 (rounded ~ $1.67) Most Expensive
Processing Time 1 hour, 7 minutes, 30.76 seconds Slowest 43 minutes, 53.05 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.001041Best $0.001662Worst
Tokens per Dollar 960,958Best Value 601,680Worst 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
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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)
20%
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

$1.043750 Total Cost
$1.000000 Input Cost
$0.018750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,003,000Total Tokens
$0.001041Cost per 1K
960,958Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

67m 30s Processing Time
260 Tokens/Second
400ms Time to First Token
248 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

$1.043750 (rounded ~ $1.04)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% 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) $1.268750 (rounded ~ $1.27) Input: $1.250000
Output: $0.018750 (rounded ~ $0.02)
Optimized Cost $1.043750 (rounded ~ $1.04) Input: $1.250000
Output: $0.018750 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 17.7% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 3,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.018750 (rounded ~ $0.02)
  • Total Cost: $1.043750 (rounded ~ $1.04)
  • Cost per 1K tokens: $0.001041
  • Tokens per dollar: 960,958 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, 7 minutes, 30.76 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 248 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-stakesdeep-logic contract analysis; use Gemini 3.1 Pro when contracts contain complex visual diagrams or require multimodal understanding.

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

$1.667000 (rounded ~ $1.67)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% 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) $2.027000 (rounded ~ $2.03) Input: $2.000000
Output: $0.027000 (rounded ~ $0.03)
Optimized Cost $1.667000 (rounded ~ $1.67) Input: $2.000000
Output: $0.027000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.360000 17.8% 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 1,000,000 input tokens and 3,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.027000 (rounded ~ $0.03)
  • Total Cost: $1.667000 (rounded ~ $1.67)
  • Cost per 1K tokens: $0.001662
  • Tokens per dollar: 601,680 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: 43 minutes, 53.05 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-stakesdeep-logic contract analysis; use Gemini 3.1 Pro when contracts contain complex visual diagrams or require multimodal understanding.

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: 3,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Gemini 3.5 Flash-Lite
Google
 $0.063375 (rounded ~ $0.06) Best Value ↓ 93.9% cheaper ↓ 96.2% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.156563 (rounded ~ $0.16) ↓ 85% cheaper ↓ 90.6% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.313125 (rounded ~ $0.31) ↓ 70% cheaper ↓ 81.2% cheaper
#4 Gemini 2.5 Pro
Google
 $1.047500 (rounded ~ $1.05) ↑ 0.4% more ↓ 37.2% cheaper
#5 GPT-5.4
OpenAI
 $2.083750 (rounded ~ $2.08) ↑ 99.6% more ↑ 25% more
#6 GPT-5.4 Thinking
OpenAI
 $2.083750 (rounded ~ $2.08) ↑ 99.6% more ↑ 25% more
#7 GPT-6 Astra
OpenAI
 $8.350000 ↑ 700% more ↑ 400.9% more
#8 GPT-6 Astra
OpenAI
 $8.350000 ↑ 700% more ↑ 400.9% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.063375 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 93.9%
vs Gemini 3.1 Pro: ↓ 96.2%
🥈

Gemini 3.8 Flash
Google

$0.156563 (rounded ~ $0.16)
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 90.6%
🥉

Gemini 3.6 Flash
Google

$0.313125 (rounded ~ $0.31)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81.2%
#4

Gemini 2.5 Pro
Google

$1.047500 (rounded ~ $1.05)
vs Claude Opus 4.7: ↑ 0.4%
vs Gemini 3.1 Pro: ↓ 37.2%
#5

GPT-5.4
OpenAI

$2.083750 (rounded ~ $2.08)
vs Claude Opus 4.7: ↑ 99.6%
vs Gemini 3.1 Pro: ↑ 25%
#6

GPT-5.4 Thinking
OpenAI

$2.083750 (rounded ~ $2.08)
vs Claude Opus 4.7: ↑ 99.6%
vs Gemini 3.1 Pro: ↑ 25%
#7

GPT-6 Astra
OpenAI

$8.350000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.9%
#8

GPT-6 Astra
OpenAI

$8.350000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.9%
✨ 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 between Claude Opus 4.7 and Gemini 3.1 Pro for legal review depends on the specific nature of your contracts and the complexity of the desired output. Claude Opus 4.7 is widely regarded for its exceptional reasoning depth and reliability in interpreting dense, multi-file documentation. If your workflow involves complex cross-referencing between a 50-page master service agreement and multiple smaller statements of work, Claude’s structural awareness ensures that definitions and obligations are tracked consistently across the entire context window. It is the preferred choice for tasks requiring high-precision compliance checks and nuanced policy interpretation where hallucination risks must be kept to an absolute minimum.

Gemini 3.1 Pro, conversely, offers a distinct advantage when your legal documents contain heavy visual elements such as organizational charts, process flow diagrams, or handwritten annotations. Its native multimodal capabilities allow it to bridge the gap between text and imagery without requiring a separate pre-processing OCR step. For indie developers building tools to synthesize entire libraries of legal filings or complex case studies, Gemini’s deep integration and speed with multimodal data make it a highly efficient partner. While both models handle long-context inputs effectively, the decision hinges on whether your priority is pure, deep-logic synthesis (Claude) or the ability to natively ingest and reason across diverse, visually complex document formats (Gemini).

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.

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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