Gemini 3.1 Pro vs Claude Opus 4.7 for 10M-Token Long-Document Summarization

Claude Opus 4.7 has been replaced by Claude Opus 5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

Gemini 3.1 Pro vs Claude Opus 4.7
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 Gemini 3.1 Pro
Google
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $1.000000Worst $0.625000 (rounded ~ $0.63)Best
Output Cost $0.018000 (rounded ~ $0.02)Worst $0.012500 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.568000 (rounded ~ $0.57) Most Expensive $0.356250 (rounded ~ $0.36) Best Value
Processing Time 21 minutes, 32.83 seconds Fastest 33 minutes, 8.87 seconds Slowest
Tokens per Second 400Fastest 260Slowest
Time to First Token 220ms Best 400ms Worst
Cost per 1K tokens $0.001131Worst $0.000710Best
Tokens per Dollar 883,803Worst Value 1,409,123Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Worst $1.250000Best
Output Cost / 1M (Base) $9.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $1.000000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $4.500000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 1,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
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

$0.568000 Total Cost
$0.500000 Input Cost
$0.018000 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
$0.001131Cost per 1K
883,803Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

21m 32s Processing Time
400 Tokens/Second
220ms Time to First Token
388 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.

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, 32.83 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.1 Pro for high-throughput multimodal summarization; Claude Opus 4.7 for high-fidelityreasoning-intensive document analysis.

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 →

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: 33 minutes, 8.87 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 252 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.1 Pro for high-throughput multimodal summarization; Claude Opus 4.7 for high-fidelityreasoning-intensive document analysis.

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 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 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 Gemini 3.1 Pro vs Claude Opus 4.7
🏆 Gemini 3.1 Flash Lite
Google
 $0.017938 (rounded ~ $0.02) Best Value ↓ 96.8% cheaper ↓ 95% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.021875 (rounded ~ $0.02) ↓ 96.1% cheaper ↓ 93.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 96.1% cheaper ↓ 93.9% cheaper
#4 Gemini 3.8 Flash
Google
 $0.053438 (rounded ~ $0.05) ↓ 90.6% cheaper ↓ 85% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.071750 (rounded ~ $0.07) ↓ 87.4% cheaper ↓ 79.9% cheaper
#6 Gemini 3.6 Flash
Google
 $0.106875 (rounded ~ $0.11) ↓ 81.2% cheaper ↓ 70% cheaper
#7 Gemini 3.5 Flash
Google
 $0.107625 (rounded ~ $0.11) ↓ 81.1% cheaper ↓ 69.8% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.142500 (rounded ~ $0.14) ↓ 74.9% cheaper ↓ 60% cheaper
#9 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↓ 74.7% cheaper ↓ 59.7% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.179375 ↓ 68.4% cheaper ↓ 49.6% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↓ 62.4% cheaper ↓ 40% cheaper
#12 Claude Opus 4.7
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 37.3% cheaper Same price
#13 Claude Opus 5
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 37.3% cheaper Same price
#14 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 37.3% cheaper Same price
#15 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 37.3% cheaper Same price
#16 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↓ 36.8% cheaper ↑ 0.7% more
#17 GPT-5.6 Sol
OpenAI
 $0.358750 (rounded ~ $0.36) ↓ 36.8% cheaper ↑ 0.7% more
#18 Grok 4.3
xAI
 $0.558000 (rounded ~ $0.56) ↓ 1.8% cheaper ↑ 56.6% more
#19 Grok 4.20 Beta
xAI
 $0.558000 (rounded ~ $0.56) ↓ 1.8% cheaper ↑ 56.6% more
#20 Claude Fable 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↑ 17.2% more ↑ 86.8% more
#21 Claude Mythos 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↑ 17.2% more ↑ 86.8% more
#22 GPT-5.4
OpenAI
 $0.710000 ↑ 25% more ↑ 99.3% more
#23 GPT-5.4 Thinking
OpenAI
 $0.710000 ↑ 25% more ↑ 99.3% more
#24 Claude Fable 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 25.4% more ↑ 100% more
#25 Claude Mythos 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 25.4% more ↑ 100% more
#26 GPT-5.5
OpenAI
 $1.420000 ↑ 150% more ↑ 298.6% more
#27 GPT-6 Astra
OpenAI
 $2.850000 ↑ 401.8% more ↑ 700% more
#28 GPT-6 Astra
OpenAI
 $2.850000 ↑ 401.8% more ↑ 700% more
🏆

Gemini 3.1 Flash Lite
Google

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

Gemini 3.5 Flash-Lite
Google

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

Gemini 2.5 Flash
Google

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

Gemini 3.8 Flash
Google

$0.053438 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 90.6%
vs Claude Opus 4.7: ↓ 85%
#5

GPT-5.6 Luna
OpenAI

$0.071750 (rounded ~ $0.07)
vs Gemini 3.1 Pro: ↓ 87.4%
vs Claude Opus 4.7: ↓ 79.9%
#6

Gemini 3.6 Flash
Google

$0.106875 (rounded ~ $0.11)
vs Gemini 3.1 Pro: ↓ 81.2%
vs Claude Opus 4.7: ↓ 70%
#7

Gemini 3.5 Flash
Google

$0.107625 (rounded ~ $0.11)
vs Gemini 3.1 Pro: ↓ 81.1%
vs Claude Opus 4.7: ↓ 69.8%
#8

Claude Sonnet 5
Anthropic

$0.142500 (rounded ~ $0.14)
vs Gemini 3.1 Pro: ↓ 74.9%
vs Claude Opus 4.7: ↓ 60%
#9

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs Gemini 3.1 Pro: ↓ 74.7%
vs Claude Opus 4.7: ↓ 59.7%
#10

GPT-5.6 Terra
OpenAI

$0.179375
vs Gemini 3.1 Pro: ↓ 68.4%
vs Claude Opus 4.7: ↓ 49.6%
#11

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs Gemini 3.1 Pro: ↓ 62.4%
vs Claude Opus 4.7: ↓ 40%
#12

Claude Opus 4.7
Anthropic

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

Claude Opus 5
Anthropic

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

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs Gemini 3.1 Pro: ↓ 37.3%
vs Claude Opus 4.7: Same
#15

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs Gemini 3.1 Pro: ↓ 37.3%
vs Claude Opus 4.7: Same
#16

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs Gemini 3.1 Pro: ↓ 36.8%
vs Claude Opus 4.7: ↑ 0.7%
#17

GPT-5.6 Sol
OpenAI

$0.358750 (rounded ~ $0.36)
vs Gemini 3.1 Pro: ↓ 36.8%
vs Claude Opus 4.7: ↑ 0.7%
#18

Grok 4.3
xAI

$0.558000 (rounded ~ $0.56)
vs Gemini 3.1 Pro: ↓ 1.8%
vs Claude Opus 4.7: ↑ 56.6%
#19

Grok 4.20 Beta
xAI

$0.558000 (rounded ~ $0.56)
vs Gemini 3.1 Pro: ↓ 1.8%
vs Claude Opus 4.7: ↑ 56.6%
#20

Claude Fable 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs Gemini 3.1 Pro: ↑ 17.2%
vs Claude Opus 4.7: ↑ 86.8%
#21

Claude Mythos 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs Gemini 3.1 Pro: ↑ 17.2%
vs Claude Opus 4.7: ↑ 86.8%
#22

GPT-5.4
OpenAI

$0.710000
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 99.3%
#23

GPT-5.4 Thinking
OpenAI

$0.710000
vs Gemini 3.1 Pro: ↑ 25%
vs Claude Opus 4.7: ↑ 99.3%
#24

Claude Fable 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Gemini 3.1 Pro: ↑ 25.4%
vs Claude Opus 4.7: ↑ 100%
#25

Claude Mythos 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Gemini 3.1 Pro: ↑ 25.4%
vs Claude Opus 4.7: ↑ 100%
#26

GPT-5.5
OpenAI

$1.420000
vs Gemini 3.1 Pro: ↑ 150%
vs Claude Opus 4.7: ↑ 298.6%
#27

GPT-6 Astra
OpenAI

$2.850000
vs Gemini 3.1 Pro: ↑ 401.8%
vs Claude Opus 4.7: ↑ 700%
#28

GPT-6 Astra
OpenAI

$2.850000
vs Gemini 3.1 Pro: ↑ 401.8%
vs Claude Opus 4.7: ↑ 700%
✨ 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 Your Summarization Engine

For translation agencies scaling long-document summarization pipelines, the choice between Gemini 3.1 Pro and Claude Opus 4.7 often comes down to your primary bottleneck: reasoning depth versus multimodal flexibility. When processing 200-500 page PDFs, you are essentially asking the model to build a mental map of a vast, complex document set before distilling it into a target language.

Claude Opus 4.7 remains the industry standard for reasoning-heavy tasks. If your summarization requires deep structural awareness—such as maintaining the logical hierarchy of a legal contract or a technical manual—Opus 4.7 demonstrates superior instruction-following and consistency. It avoids the hallucination traps that sometimes occur when models lose the thread of long, nuanced arguments.

Gemini 3.1 Pro, conversely, offers a distinct advantage in large-context multimodal processing. Its native ability to ingest and synthesize information across text, charts, and embedded visuals within a massive context window makes it highly efficient for documents that are heavy on data visualization or mixed-media content. If your translation workflow involves frequent extraction from dense, visually complex PDFs, Gemini 3.1 Pro’s architectural approach often results in faster iteration cycles.

Ultimately, these models represent two different philosophies. Use Claude Opus 4.7 when the priority is the integrity of complex, multi-layered arguments. Turn to Gemini 3.1 Pro when your summarization tasks require handling massive document sets where multimodal data density is high. Both models support high-volume pipelines, so your choice should be driven by the inherent complexity of your source files.

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

Gemini 3.1 Pro currently costs $2.00 / $12.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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