Legal Contract Review: Claude Sonnet 5 vs Gemini 3.1 Pro for 200K-Token Extraction Pipelines

Claude Sonnet 5 vs Gemini 3.1 Pro
Complete Comparison: 200,000 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 Sonnet 5
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 200,000 200,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.100000Best $0.400000Worst
Output Cost $0.005000 (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 $0.060000 Best Value $0.238000 (rounded ~ $0.24) Most Expensive
Processing Time 7 minutes, 28.09 seconds Fastest 8 minutes, 35.28 seconds Slowest
Tokens per Second 460Fastest 400Slowest
Time to First Token 195ms Best 220ms Worst
Cost per 1K tokens $0.000297Best $0.001178Worst
Tokens per Dollar 3,366,667Best Value 848,739Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $2.000000Worst
Output Cost / 1M (Base) $2.500000Best $9.000000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Best
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 Sonnet 5
AnthropicMax Context: 1,000,000 tokens
$2 / $10 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

$0.050000 Input Cost
$0.005000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
202,000Total Tokens
$0.000297Cost per 1K
3,366,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

7m 28s Processing Time
460 Tokens/Second
195ms Time to First Token
451 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 Sonnet 5 Anthropic 1000000

$0.060000
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) $0.105000 (rounded ~ $0.11) Input: $0.100000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.060000 Input: $0.100000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.045000 (rounded ~ $0.05) 42.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.060000
  • Cost per 1K tokens: $0.000297
  • Tokens per dollar: 3,366,667 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

  • Processing Time: 7 minutes, 28.09 seconds
  • Latency: 195 milliseconds to first token
  • Base Throughput: 460 tokens/second
  • Effective Throughput: 451 tokens/second (temperature-adjusted)

Best Use Cases

Extracting key clauses and identifying liabilities in long-form legal documents where precision and instruction adherence are paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5. 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

$0.238000 (rounded ~ $0.24)
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) $0.418000 (rounded ~ $0.42) Input: $0.400000
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $0.238000 (rounded ~ $0.24) Input: $0.400000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.180000 43.1% 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 200,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.400000
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $0.238000 (rounded ~ $0.24)
  • Cost per 1K tokens: $0.001178
  • Tokens per dollar: 848,739 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: 8 minutes, 35.28 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Extracting key clauses and identifying liabilities in long-form legal documents where precision and instruction adherence are paramount.

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 Sonnet 5
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5 vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
$0.007625 (rounded ~ $0.01) Best Value ↓ 87.3% cheaper ↓ 96.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.009500 ↓ 84.2% cheaper ↓ 96% cheaper
🥉 Gemini 2.5 Flash
Google
$0.009500 ↓ 84.2% cheaper ↓ 96% cheaper
#4 Mistral Large 3
Mistral AI
$0.014500 (rounded ~ $0.01) ↓ 75.8% cheaper ↓ 93.9% cheaper
#5 Gemini 3.8 Flash
Google
$0.022500 (rounded ~ $0.02) ↓ 62.5% cheaper ↓ 90.5% cheaper
#6 GPT-5.4 mini
OpenAI
$0.022875 (rounded ~ $0.02) ↓ 61.9% cheaper ↓ 90.4% cheaper
#7 Claude Haiku 4.5
Anthropic
$0.030000 ↓ 50% cheaper ↓ 87.4% cheaper
#8 GPT-5.6 Luna
OpenAI
$0.030500 ↓ 49.2% cheaper ↓ 87.2% cheaper
#9 Gemini 3.6 Flash
Google
$0.045000 (rounded ~ $0.05) ↓ 25% cheaper ↓ 81.1% cheaper
#10 Gemini 3.5 Flash
Google
$0.045750 (rounded ~ $0.05) ↓ 23.8% cheaper ↓ 80.8% cheaper
#11 Gemini 3.1 Flash
Google
$0.061000 (rounded ~ $0.06) ↑ 1.7% more ↓ 74.4% cheaper
#12 GPT-5.6 Terra
OpenAI
$0.076250 (rounded ~ $0.08) ↑ 27.1% more ↓ 68% cheaper
#13 Claude Sonnet 4.6
Anthropic
$0.090000 ↑ 50% more ↓ 62.2% cheaper
#14 Claude Opus 4.7
Anthropic
$0.150000 ↑ 150% more ↓ 37% cheaper
#15 Claude Opus 5
Anthropic
$0.150000 ↑ 150% more ↓ 37% cheaper
#16 Claude Opus 4.8
Anthropic
$0.150000 ↑ 150% more ↓ 37% cheaper
#17 Claude Opus 4.6
Anthropic
$0.150000 ↑ 150% more ↓ 37% cheaper
#18 GPT-5.4
OpenAI
$0.152500 (rounded ~ $0.15) ↑ 154.2% more ↓ 35.9% cheaper
#19 GPT-5.4 Thinking
OpenAI
$0.152500 (rounded ~ $0.15) ↑ 154.2% more ↓ 35.9% cheaper
#20 Gemini 2.5 Pro
Google
$0.152500 (rounded ~ $0.15) ↑ 154.2% more ↓ 35.9% cheaper
#21 GPT-5.5 Instant
OpenAI
$0.152500 (rounded ~ $0.15) ↑ 154.2% more ↓ 35.9% cheaper
#22 GPT-5.6 Sol
OpenAI
$0.152500 (rounded ~ $0.15) ↑ 154.2% more ↓ 35.9% cheaper
#23 Grok 4.3
xAI
$0.228000 (rounded ~ $0.23) ↑ 280% more ↓ 4.2% cheaper
#24 Grok 4.20 Beta
xAI
$0.228000 (rounded ~ $0.23) ↑ 280% more ↓ 4.2% cheaper
#25 Gemini 3.1 Pro
Google
$0.238000 (rounded ~ $0.24) ↑ 296.7% more Same price
#26 Claude Fable 5.1
Anthropic
$0.281250 (rounded ~ $0.28) ↑ 368.8% more ↑ 18.2% more
#27 Claude Mythos 5.1
Anthropic
$0.281250 (rounded ~ $0.28) ↑ 368.8% more ↑ 18.2% more
#28 Claude Fable 5
Anthropic
$0.300000 ↑ 400% more ↑ 26.1% more
#29 Claude Mythos 5
Anthropic
$0.300000 ↑ 400% more ↑ 26.1% more
#30 GPT-5.5
OpenAI
$0.595000 (rounded ~ $0.60) ↑ 891.7% more ↑ 150% more
#31 GPT-6 Astra
OpenAI
$1.200000 ↑ 1900% more ↑ 404.2% more
#32 GPT-6 Astra
OpenAI
$1.200000 ↑ 1900% more ↑ 404.2% more
🏆

Gemini 3.1 Flash Lite
Google

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 87.3%
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.009500
vs Claude Sonnet 5: ↓ 84.2%
vs Gemini 3.1 Pro: ↓ 96%
🥉

Gemini 2.5 Flash
Google

$0.009500
vs Claude Sonnet 5: ↓ 84.2%
vs Gemini 3.1 Pro: ↓ 96%
#4

Mistral Large 3
Mistral AI

$0.014500 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 75.8%
vs Gemini 3.1 Pro: ↓ 93.9%
#5

Gemini 3.8 Flash
Google

$0.022500 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 62.5%
vs Gemini 3.1 Pro: ↓ 90.5%
#6

GPT-5.4 mini
OpenAI

$0.022875 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 61.9%
vs Gemini 3.1 Pro: ↓ 90.4%
#7

Claude Haiku 4.5
Anthropic

$0.030000
vs Claude Sonnet 5: ↓ 50%
vs Gemini 3.1 Pro: ↓ 87.4%
#8

GPT-5.6 Luna
OpenAI

$0.030500
vs Claude Sonnet 5: ↓ 49.2%
vs Gemini 3.1 Pro: ↓ 87.2%
#9

Gemini 3.6 Flash
Google

$0.045000 (rounded ~ $0.05)
vs Claude Sonnet 5: ↓ 25%
vs Gemini 3.1 Pro: ↓ 81.1%
#10

Gemini 3.5 Flash
Google

$0.045750 (rounded ~ $0.05)
vs Claude Sonnet 5: ↓ 23.8%
vs Gemini 3.1 Pro: ↓ 80.8%
#11

Gemini 3.1 Flash
Google

$0.061000 (rounded ~ $0.06)
vs Claude Sonnet 5: ↑ 1.7%
vs Gemini 3.1 Pro: ↓ 74.4%
#12

GPT-5.6 Terra
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 27.1%
vs Gemini 3.1 Pro: ↓ 68%
#13

Claude Sonnet 4.6
Anthropic

$0.090000
vs Claude Sonnet 5: ↑ 50%
vs Gemini 3.1 Pro: ↓ 62.2%
#14

Claude Opus 4.7
Anthropic

$0.150000
vs Claude Sonnet 5: ↑ 150%
vs Gemini 3.1 Pro: ↓ 37%
#15

Claude Opus 5
Anthropic

$0.150000
vs Claude Sonnet 5: ↑ 150%
vs Gemini 3.1 Pro: ↓ 37%
#16

Claude Opus 4.8
Anthropic

$0.150000
vs Claude Sonnet 5: ↑ 150%
vs Gemini 3.1 Pro: ↓ 37%
#17

Claude Opus 4.6
Anthropic

$0.150000
vs Claude Sonnet 5: ↑ 150%
vs Gemini 3.1 Pro: ↓ 37%
#18

GPT-5.4
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 154.2%
vs Gemini 3.1 Pro: ↓ 35.9%
#19

GPT-5.4 Thinking
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 154.2%
vs Gemini 3.1 Pro: ↓ 35.9%
#20

Gemini 2.5 Pro
Google

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 154.2%
vs Gemini 3.1 Pro: ↓ 35.9%
#21

GPT-5.5 Instant
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 154.2%
vs Gemini 3.1 Pro: ↓ 35.9%
#22

GPT-5.6 Sol
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 154.2%
vs Gemini 3.1 Pro: ↓ 35.9%
#23

Grok 4.3
xAI

$0.228000 (rounded ~ $0.23)
vs Claude Sonnet 5: ↑ 280%
vs Gemini 3.1 Pro: ↓ 4.2%
#24

Grok 4.20 Beta
xAI

$0.228000 (rounded ~ $0.23)
vs Claude Sonnet 5: ↑ 280%
vs Gemini 3.1 Pro: ↓ 4.2%
#25

Gemini 3.1 Pro
Google

$0.238000 (rounded ~ $0.24)
vs Claude Sonnet 5: ↑ 296.7%
vs Gemini 3.1 Pro: Same
#26

Claude Fable 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs Claude Sonnet 5: ↑ 368.8%
vs Gemini 3.1 Pro: ↑ 18.2%
#27

Claude Mythos 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs Claude Sonnet 5: ↑ 368.8%
vs Gemini 3.1 Pro: ↑ 18.2%
#28

Claude Fable 5
Anthropic

$0.300000
vs Claude Sonnet 5: ↑ 400%
vs Gemini 3.1 Pro: ↑ 26.1%
#29

Claude Mythos 5
Anthropic

$0.300000
vs Claude Sonnet 5: ↑ 400%
vs Gemini 3.1 Pro: ↑ 26.1%
#30

GPT-5.5
OpenAI

$0.595000 (rounded ~ $0.60)
vs Claude Sonnet 5: ↑ 891.7%
vs Gemini 3.1 Pro: ↑ 150%
#31

GPT-6 Astra
OpenAI

$1.200000
vs Claude Sonnet 5: ↑ 1900%
vs Gemini 3.1 Pro: ↑ 404.2%
#32

GPT-6 Astra
OpenAI

$1.200000
vs Claude Sonnet 5: ↑ 1900%
vs Gemini 3.1 Pro: ↑ 404.2%
✨ 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.

Legal contract review requires high precision and an understanding of nuanced clauses. When processing 200K-token documents for clause extraction, the choice between model providers often comes down to internal reasoning capabilities and instruction following. Developers building legal-tech MVPs must weigh how each model handles structured output versus long-range document context.

Claude Sonnet 5 is frequently favored in the legal technology space for its ability to adhere to complex formatting constraints. In contract review, where you often need to output structured JSON identifying specific dates, parties, and liabilities, its tendency to prioritize instruction adherence makes it a highly reliable choice for pipeline integration. It is particularly adept at maintaining consistency across long documents, which is essential for ensuring that clause definitions remain unified from the preamble to the signature page.

Gemini 3.1 Pro offers a different advantage, particularly with its massive context windows and multimodal capabilities. For firms that need to process scanned PDFs or hybrid documents where tables and text interact, its architectural approach to handling long-range dependencies is effective. It excels when you need to maintain a global understanding of a document while performing granular extraction tasks. For creators building legal tech MVPs, the decision usually hinges on the specific data structure required. If your workflow relies heavily on strict, schema-compliant JSON extraction, the refined reasoning of the Claude family offers consistency. Conversely, if your pipeline involves extracting data from diverse document formats, Gemini provides robust utility for high-stakes legal document review.

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.