Claude Opus 4.7 vs Gemini 3.1 Pro: 50K-Token Literature Reviews

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 50,000 input tokens × 15,000 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 50,000 50,000
Output Tokens 15,000 15,000
Cost Breakdown
Input Cost $0.062500 (rounded ~ $0.06)Worst $0.050000Best
Output Cost $0.093750 (rounded ~ $0.09)Worst $0.090000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.128125 (rounded ~ $0.13) Most Expensive $0.117500 (rounded ~ $0.12) Best Value
Processing Time 4 minutes, 27.68 seconds Slowest 2 minutes, 54.06 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.001971Worst $0.001808Best
Tokens per Dollar 507,317Worst Value 553,191Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Worst $1.000000Best
Output Cost / 1M (Base) $6.250000Worst $6.000000Best
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Worst
Optimizations: 50.0% batch
$0.500000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Worst
Optimizations: 50.0% batch
$3.000000Best
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

$0.128125 Total Cost
$0.031250 Input Cost
$0.093750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.001971Cost per 1K
507,317Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 27s Processing Time
260 Tokens/Second
400ms Time to First Token
243 Effective Speed

Model Comparison

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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

$0.128125 (rounded ~ $0.13)
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) $0.156250 (rounded ~ $0.16) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)
Optimized Cost $0.128125 (rounded ~ $0.13) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.028125 (rounded ~ $0.03) 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.062500 (rounded ~ $0.06)
  • Output Cost: $0.093750 (rounded ~ $0.09)
  • Total Cost: $0.128125 (rounded ~ $0.13)
  • Cost per 1K tokens: $0.001971
  • Tokens per dollar: 507,317 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: 4 minutes, 27.68 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus for high-quality long-form narrative drafting; Gemini 3.1 Pro for data-heavychart-rich literature reviews.

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

$0.117500 (rounded ~ $0.12)
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) $0.140000 Input: $0.050000
Output: $0.090000
Optimized Cost $0.117500 (rounded ~ $0.12) Input: $0.050000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.022500 (rounded ~ $0.02) 16.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.090000
  • Total Cost: $0.117500 (rounded ~ $0.12)
  • Cost per 1K tokens: $0.001808
  • Tokens per dollar: 553,191 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: 2 minutes, 54.06 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus for high-quality long-form narrative drafting; Gemini 3.1 Pro for data-heavychart-rich literature reviews.

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: 50,000
Output Tokens: 15,000
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
🏆 Mistral Small 3
Mistral AI
 $0.001813 Best Value ↓ 98.6% cheaper ↓ 98.5% cheaper
🥈 Grok Code Fast 1
xAI
 $0.007000 (rounded ~ $0.01) ↓ 94.5% cheaper ↓ 94% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.007344 (rounded ~ $0.01) ↓ 94.3% cheaper ↓ 93.8% cheaper
#4 Mistral Large 3
Mistral AI
 $0.009063 ↓ 92.9% cheaper ↓ 92.3% cheaper
#5 Gemini 2.5 Flash
Google
 $0.011438 (rounded ~ $0.01) ↓ 91.1% cheaper ↓ 90.3% cheaper
#6 Grok 4.3
xAI
 $0.017969 (rounded ~ $0.02) ↓ 86% cheaper ↓ 84.7% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.021875 (rounded ~ $0.02) ↓ 82.9% cheaper ↓ 81.4% cheaper
#8 GPT-5.4 mini
OpenAI
 $0.022031 (rounded ~ $0.02) ↓ 82.8% cheaper ↓ 81.3% cheaper
#9 o4-mini
OpenAI
 $0.024063 (rounded ~ $0.02) ↓ 81.2% cheaper ↓ 79.5% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.025625 (rounded ~ $0.03) ↓ 80% cheaper ↓ 78.2% cheaper
#11 Gemini 3.1 Flash
Google
 $0.029375 ↓ 77.1% cheaper ↓ 75% cheaper
#12 Grok 4.20 Beta
xAI
 $0.036250 (rounded ~ $0.04) ↓ 71.7% cheaper ↓ 69.1% cheaper
#13 Gemini 3.5 Flash
Google
 $0.044063 (rounded ~ $0.04) ↓ 65.6% cheaper ↓ 62.5% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.064531 (rounded ~ $0.06) ↓ 49.6% cheaper ↓ 45.1% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.064531 (rounded ~ $0.06) ↓ 49.6% cheaper ↓ 45.1% cheaper
#16 Claude Sonnet 4.6
Anthropic
 $0.076875 (rounded ~ $0.08) ↓ 40% cheaper ↓ 34.6% cheaper
#17 Gemini 2.5 Pro
Google
 $0.092188 (rounded ~ $0.09) ↓ 28% cheaper ↓ 21.5% cheaper
#18 Gemini 3.1 Pro
Google
 $0.117500 (rounded ~ $0.12) ↓ 8.3% cheaper Same price
#19 Claude Opus 4.8
Anthropic
 $0.128125 (rounded ~ $0.13) Same price ↑ 9% more
#20 Claude Opus 4.6
Anthropic
 $0.128125 (rounded ~ $0.13) Same price ↑ 9% more
#21 GPT-5.4
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 14.6% more ↑ 25% more
#22 GPT-5.4 Thinking
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 14.6% more ↑ 25% more
#23 GPT-5.5 Instant
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 14.6% more ↑ 25% more
#24 o3 Deep Research
OpenAI
 $0.218750 (rounded ~ $0.22) ↑ 70.7% more ↑ 86.2% more
#25 GPT-5.5
OpenAI
 $0.293750 (rounded ~ $0.29) ↑ 129.3% more ↑ 150% more
#26 o3 Pro
OpenAI
 $0.437500 (rounded ~ $0.44) ↑ 241.5% more ↑ 272.3% more
#27 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 504.4% more ↑ 559% more
#28 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 504.4% more ↑ 559% more
🏆

Mistral Small 3
Mistral AI

$0.001813
vs Claude Opus 4.7: ↓ 98.6%
vs Gemini 3.1 Pro: ↓ 98.5%
🥈

Grok Code Fast 1
xAI

$0.007000 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 94.5%
vs Gemini 3.1 Pro: ↓ 94%
🥉

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 94.3%
vs Gemini 3.1 Pro: ↓ 93.8%
#4

Mistral Large 3
Mistral AI

$0.009063
vs Claude Opus 4.7: ↓ 92.9%
vs Gemini 3.1 Pro: ↓ 92.3%
#5

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 91.1%
vs Gemini 3.1 Pro: ↓ 90.3%
#6

Grok 4.3
xAI

$0.017969 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 86%
vs Gemini 3.1 Pro: ↓ 84.7%
#7

o4-mini Deep Research
OpenAI

$0.021875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 82.9%
vs Gemini 3.1 Pro: ↓ 81.4%
#8

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 82.8%
vs Gemini 3.1 Pro: ↓ 81.3%
#9

o4-mini
OpenAI

$0.024063 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 81.2%
vs Gemini 3.1 Pro: ↓ 79.5%
#10

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 78.2%
#11

Gemini 3.1 Flash
Google

$0.029375
vs Claude Opus 4.7: ↓ 77.1%
vs Gemini 3.1 Pro: ↓ 75%
#12

Grok 4.20 Beta
xAI

$0.036250 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 71.7%
vs Gemini 3.1 Pro: ↓ 69.1%
#13

Gemini 3.5 Flash
Google

$0.044063 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 65.6%
vs Gemini 3.1 Pro: ↓ 62.5%
#14

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 49.6%
vs Gemini 3.1 Pro: ↓ 45.1%
#15

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 49.6%
vs Gemini 3.1 Pro: ↓ 45.1%
#16

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 34.6%
#17

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)
vs Claude Opus 4.7: ↓ 28%
vs Gemini 3.1 Pro: ↓ 21.5%
#18

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)
vs Claude Opus 4.7: ↓ 8.3%
vs Gemini 3.1 Pro: Same
#19

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 9%
#20

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 9%
#21

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 14.6%
vs Gemini 3.1 Pro: ↑ 25%
#22

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 14.6%
vs Gemini 3.1 Pro: ↑ 25%
#23

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 14.6%
vs Gemini 3.1 Pro: ↑ 25%
#24

o3 Deep Research
OpenAI

$0.218750 (rounded ~ $0.22)
vs Claude Opus 4.7: ↑ 70.7%
vs Gemini 3.1 Pro: ↑ 86.2%
#25

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)
vs Claude Opus 4.7: ↑ 129.3%
vs Gemini 3.1 Pro: ↑ 150%
#26

o3 Pro
OpenAI

$0.437500 (rounded ~ $0.44)
vs Claude Opus 4.7: ↑ 241.5%
vs Gemini 3.1 Pro: ↑ 272.3%
#27

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Claude Opus 4.7: ↑ 504.4%
vs Gemini 3.1 Pro: ↑ 559%
#28

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Claude Opus 4.7: ↑ 504.4%
vs Gemini 3.1 Pro: ↑ 559%
✨ 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.

Selecting the Right Engine for Large-Scale Review

Comparing Claude Opus 4.7 and Gemini 3.1 Pro reveals a critical decision point for researchers: do you prioritize reasoning reliability or multimodal breadth? Both models handle the 50,000-token context requirements of a comprehensive literature review, but they serve different phases of the research lifecycle.

Claude Opus 4.7: The Architect of Synthesis
Claude Opus 4.7 excels in long-form coherence. When drafting a literature review, the model maintains a consistent academic tone and follows complex, multi-layered structural instructions. Its ability to manage large output constraints makes it ideal for generating long, polished sections of a paper that require minimal revision. Researchers often prefer Opus 4.7 for its tendency to adhere strictly to stylistic and formatting guidelines, reducing the need for iterative corrections.

Gemini 3.1 Pro: The Multimodal Specialist
Gemini 3.1 Pro is the superior choice when your literature review is heavily visual or data-driven. If your inputs include thousands of pages of research containing complex diagrams, figures, and experimental charts, Gemini’s multimodal prowess allows it to extract and synthesize information that text-only models might miss. It effectively bridges the gap between raw data interpretation and narrative synthesis.

Decision Factors:

  • Choose Claude Opus 4.7 if your drafting process is heavily text-focused and requires high-quality, long-form argumentative consistency.
  • Choose Gemini 3.1 Pro if you are performing heavy analysis on datasets, charts, and image-heavy PDFs as part of your research.

Both models offer the context window necessary to hold your entire literature review in memory, preventing the fragmentation often seen with smaller models.

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.