Claude Opus 4.7 vs Gemini 3.1 Pro for 20K-Token Tutoring Sessions

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 20,000 input tokens × 1,500 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (40% cached)
Input Tokens 20,000 20,000
Output Tokens 1,500 1,500
Cost Breakdown
Input Cost $0.100000Worst $0.040000Best
Output Cost $0.037500 (rounded ~ $0.04)Worst $0.018000 (rounded ~ $0.02)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.101500 (rounded ~ $0.10) Most Expensive $0.043600 (rounded ~ $0.04) Best Value
Processing Time 1 minute, 28.66 seconds Slowest 57.69 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.004721Worst $0.002028Best
Tokens per Dollar 211,823Worst Value 493,119Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $2.000000Best
Output Cost / 1M (Base) $25.000000Worst $12.000000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: No optimizations applied
$2.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: No optimizations applied
$12.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
40
✓ 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)
40%
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

$0.101500 Total Cost
$0.060000 Input Cost
$0.037500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
21,500Total Tokens
$0.004721Cost per 1K
211,823Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 28s Processing Time
260 Tokens/Second
400ms Time to First Token
243 Effective Speed

Model Comparison

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Model Information

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🔄 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

$0.101500 (rounded ~ $0.10)
Total Cost
⚡ 40% Cached 🔧 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) $0.137500 (rounded ~ $0.14) Input: $0.100000
Output: $0.037500 (rounded ~ $0.04)
Optimized Cost $0.101500 (rounded ~ $0.10) Input: $0.100000
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.036000 (rounded ~ $0.04) 26.2% discount

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.037500 (rounded ~ $0.04)
  • Total Cost: $0.101500 (rounded ~ $0.10)
  • Cost per 1K tokens: $0.004721
  • Tokens per dollar: 211,823 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 minute, 28.66 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-fidelitySocratic text-based reasoning; choose Gemini 3.1 Pro for interactivemultimodal-heavy tutoring environments.

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

$0.043600 (rounded ~ $0.04)
Total Cost
⚡ 40% Cached 🔧 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) $0.058000 (rounded ~ $0.06) Input: $0.040000
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $0.043600 (rounded ~ $0.04) Input: $0.040000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.014400 (rounded ~ $0.01) 24.8% discount

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.040000
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $0.043600 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.002028
  • Tokens per dollar: 493,119 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: 57.69 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-fidelitySocratic text-based reasoning; choose Gemini 3.1 Pro for interactivemultimodal-heavy tutoring environments.

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: 20,000
Output Tokens: 1,500
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001730 Best Value ↓ 98.3% cheaper ↓ 96% cheaper
🥈 Grok Code Fast 1
xAI
 $0.004810 ↓ 95.3% cheaper ↓ 89% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.005450 (rounded ~ $0.01) ↓ 94.6% cheaper ↓ 87.5% cheaper
#4 Gemini 2.5 Flash
Google
 $0.007590 (rounded ~ $0.01) ↓ 92.5% cheaper ↓ 82.6% cheaper
#5 Mistral Large 3
Mistral AI
 $0.008650 (rounded ~ $0.01) ↓ 91.5% cheaper ↓ 80.2% cheaper
#6 Gemini 3.1 Flash
Google
 $0.010900 ↓ 89.3% cheaper ↓ 75% cheaper
#7 Kimi K2.5
Moonshot AI
 $0.012516 (rounded ~ $0.01) ↓ 87.7% cheaper ↓ 71.3% cheaper
#8 GPT-5.4 mini
OpenAI
 $0.016350 (rounded ~ $0.02) ↓ 83.9% cheaper ↓ 62.5% cheaper
#9 Kimi K2.6
Moonshot AI
 $0.018692 (rounded ~ $0.02) ↓ 81.6% cheaper ↓ 57.1% cheaper
#10 o4-mini Deep Research
OpenAI
 $0.018800 (rounded ~ $0.02) ↓ 81.5% cheaper ↓ 56.9% cheaper
#11 Grok 4.3
xAI
 $0.019750 ↓ 80.5% cheaper ↓ 54.7% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.020300 ↓ 80% cheaper ↓ 53.4% cheaper
#13 o4-mini
OpenAI
 $0.020680 ↓ 79.6% cheaper ↓ 52.6% cheaper
#14 Gemini 2.5 Pro
Google
 $0.031000 (rounded ~ $0.03) ↓ 69.5% cheaper ↓ 28.9% cheaper
#15 Gemini 3.5 Flash
Google
 $0.032700 (rounded ~ $0.03) ↓ 67.8% cheaper ↓ 25% cheaper
#16 Grok 4.20 Beta
xAI
 $0.034600 (rounded ~ $0.03) ↓ 65.9% cheaper ↓ 20.6% cheaper
#17 GPT-5.3 Codex Spark
OpenAI
 $0.043400 (rounded ~ $0.04) ↓ 57.2% cheaper ↓ 0.5% cheaper
#18 GPT-5.3 Instant
OpenAI
 $0.043400 (rounded ~ $0.04) ↓ 57.2% cheaper ↓ 0.5% cheaper
#19 Gemini 3.1 Pro
Google
 $0.043600 (rounded ~ $0.04) ↓ 57% cheaper Same price
#20 GPT-5.4
OpenAI
 $0.054500 (rounded ~ $0.05) ↓ 46.3% cheaper ↑ 25% more
#21 GPT-5.4 Thinking
OpenAI
 $0.054500 (rounded ~ $0.05) ↓ 46.3% cheaper ↑ 25% more
#22 Claude Sonnet 4.6
Anthropic
 $0.060900 ↓ 40% cheaper ↑ 39.7% more
#23 Claude Opus 4.8
Anthropic
 $0.101500 (rounded ~ $0.10) Same price ↑ 132.8% more
#24 Claude Opus 4.6
Anthropic
 $0.101500 (rounded ~ $0.10) Same price ↑ 132.8% more
#25 GPT-5.5
OpenAI
 $0.109000 (rounded ~ $0.11) ↑ 7.4% more ↑ 150% more
#26 GPT-5.5 Instant
OpenAI
 $0.109000 (rounded ~ $0.11) ↑ 7.4% more ↑ 150% more
#27 o3 Deep Research
OpenAI
 $0.188000 (rounded ~ $0.19) ↑ 85.2% more ↑ 331.2% more
#28 o3 Pro
OpenAI
 $0.376000 (rounded ~ $0.38) ↑ 270.4% more ↑ 762.4% more
#29 GPT-5.2 Pro
OpenAI
 $0.520800 ↑ 413.1% more ↑ 1094.5% more
#30 GPT-5.2 Pro
OpenAI
 $0.520800 ↑ 413.1% more ↑ 1094.5% more
🏆

Mistral Small 3
Mistral AI

$0.001730
vs Claude Opus 4.7: ↓ 98.3%
vs Gemini 3.1 Pro: ↓ 96%
🥈

Grok Code Fast 1
xAI

$0.004810
vs Claude Opus 4.7: ↓ 95.3%
vs Gemini 3.1 Pro: ↓ 89%
🥉

Gemini 3.1 Flash Lite
Google

$0.005450 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 94.6%
vs Gemini 3.1 Pro: ↓ 87.5%
#4

Gemini 2.5 Flash
Google

$0.007590 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 92.5%
vs Gemini 3.1 Pro: ↓ 82.6%
#5

Mistral Large 3
Mistral AI

$0.008650 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 91.5%
vs Gemini 3.1 Pro: ↓ 80.2%
#6

Gemini 3.1 Flash
Google

$0.010900
vs Claude Opus 4.7: ↓ 89.3%
vs Gemini 3.1 Pro: ↓ 75%
#7

Kimi K2.5
Moonshot AI

$0.012516 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 87.7%
vs Gemini 3.1 Pro: ↓ 71.3%
#8

GPT-5.4 mini
OpenAI

$0.016350 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 83.9%
vs Gemini 3.1 Pro: ↓ 62.5%
#9

Kimi K2.6
Moonshot AI

$0.018692 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 81.6%
vs Gemini 3.1 Pro: ↓ 57.1%
#10

o4-mini Deep Research
OpenAI

$0.018800 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 81.5%
vs Gemini 3.1 Pro: ↓ 56.9%
#11

Grok 4.3
xAI

$0.019750
vs Claude Opus 4.7: ↓ 80.5%
vs Gemini 3.1 Pro: ↓ 54.7%
#12

Claude Haiku 4.5
Anthropic

$0.020300
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 53.4%
#13

o4-mini
OpenAI

$0.020680
vs Claude Opus 4.7: ↓ 79.6%
vs Gemini 3.1 Pro: ↓ 52.6%
#14

Gemini 2.5 Pro
Google

$0.031000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 69.5%
vs Gemini 3.1 Pro: ↓ 28.9%
#15

Gemini 3.5 Flash
Google

$0.032700 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 67.8%
vs Gemini 3.1 Pro: ↓ 25%
#16

Grok 4.20 Beta
xAI

$0.034600 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 65.9%
vs Gemini 3.1 Pro: ↓ 20.6%
#17

GPT-5.3 Codex Spark
OpenAI

$0.043400 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 57.2%
vs Gemini 3.1 Pro: ↓ 0.5%
#18

GPT-5.3 Instant
OpenAI

$0.043400 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 57.2%
vs Gemini 3.1 Pro: ↓ 0.5%
#19

Gemini 3.1 Pro
Google

$0.043600 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 57%
vs Gemini 3.1 Pro: Same
#20

GPT-5.4
OpenAI

$0.054500 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 46.3%
vs Gemini 3.1 Pro: ↑ 25%
#21

GPT-5.4 Thinking
OpenAI

$0.054500 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 46.3%
vs Gemini 3.1 Pro: ↑ 25%
#22

Claude Sonnet 4.6
Anthropic

$0.060900
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↑ 39.7%
#23

Claude Opus 4.8
Anthropic

$0.101500 (rounded ~ $0.10)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 132.8%
#24

Claude Opus 4.6
Anthropic

$0.101500 (rounded ~ $0.10)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↑ 132.8%
#25

GPT-5.5
OpenAI

$0.109000 (rounded ~ $0.11)
vs Claude Opus 4.7: ↑ 7.4%
vs Gemini 3.1 Pro: ↑ 150%
#26

GPT-5.5 Instant
OpenAI

$0.109000 (rounded ~ $0.11)
vs Claude Opus 4.7: ↑ 7.4%
vs Gemini 3.1 Pro: ↑ 150%
#27

o3 Deep Research
OpenAI

$0.188000 (rounded ~ $0.19)
vs Claude Opus 4.7: ↑ 85.2%
vs Gemini 3.1 Pro: ↑ 331.2%
#28

o3 Pro
OpenAI

$0.376000 (rounded ~ $0.38)
vs Claude Opus 4.7: ↑ 270.4%
vs Gemini 3.1 Pro: ↑ 762.4%
#29

GPT-5.2 Pro
OpenAI

$0.520800
vs Claude Opus 4.7: ↑ 413.1%
vs Gemini 3.1 Pro: ↑ 1094.5%
#30

GPT-5.2 Pro
OpenAI

$0.520800
vs Claude Opus 4.7: ↑ 413.1%
vs Gemini 3.1 Pro: ↑ 1094.5%
✨ 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.

For educational tutoring platforms, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often hinges on the balance between pedagogical nuance and multimodal capabilities. Claude Opus 4.7 is frequently favored for its ability to maintain a consistent, Socratic tone, which is critical for one-on-one tutoring where guiding a student to an answer is more effective than simply providing it. Its reasoning architecture is highly optimized for structured, multi-step explanations, making it a reliable partner for complex STEM subjects where clarity and logical progression are paramount.

Conversely, Gemini 3.1 Pro excels when the tutoring session requires rich multimodal inputs. If your tutoring workflow includes analyzing student-uploaded diagrams, handwritten math, or explaining concepts through integrated video clips, Gemini’s native multimodal understanding provides a seamless, integrated experience that reduces the need for external pre-processing steps. While Claude offers exceptional depth in text-based reasoning and instructional safety, Gemini’s strengths in visual and auditory processing allow for a more dynamic and inclusive learning environment, especially for visual learners. Teams building adaptive tutoring systems should weigh whether their primary hurdle is the complexity of the instructional logic or the diversity of the student-provided input data. For pure reasoning-heavy curricula, Claude often holds a slight edge; for versatile, interactive platforms, Gemini’s ecosystem support is a significant advantage.

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.