Claude Opus 4.7 vs Gemini 3.1 Pro for 800K-Token RAG Pipelines

Claude Opus 4.7 has been replaced by Claude Opus 5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: 800,000 input tokens × 1,000 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 800,000 800,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $1.000000Best $1.600000Worst
Output Cost $0.006250 (rounded ~ $0.01)Best $0.009000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.556250 (rounded ~ $0.56) Best Value $0.889000 (rounded ~ $0.89) Most Expensive
Processing Time 52 minutes, 53.37 seconds Slowest 34 minutes, 22.76 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000694Best $0.001110Worst
Tokens per Dollar 1,440,000Best Value 901,012Worst 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
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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

$0.556250 Total Cost
$0.500000 Input Cost
$0.006250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
801,000Total Tokens
$0.000694Cost per 1K
1,440,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

52m 53s Processing Time
260 Tokens/Second
400ms Time to First Token
252 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

$0.556250 (rounded ~ $0.56)
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) $1.006250 (rounded ~ $1.01) Input: $1.000000
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.556250 (rounded ~ $0.56) Input: $1.000000
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 44.7% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 800,000 input tokens and 1,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.556250 (rounded ~ $0.56)
  • Cost per 1K tokens: $0.000694
  • Tokens per dollar: 1,440,000 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: 52 minutes, 53.37 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 252 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-precision analytical tasks and complex reasoning; choose Gemini 3.1 Pro for high-throughput multimodal synthesis.

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

$0.889000 (rounded ~ $0.89)
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) $1.609000 (rounded ~ $1.61) Input: $1.600000
Output: $0.009000
Optimized Cost $0.889000 (rounded ~ $0.89) Input: $1.600000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.720000 44.7% 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 800,000 input tokens and 1,000 output tokens:

  • Input Cost: $1.600000
  • Output Cost: $0.009000
  • Total Cost: $0.889000 (rounded ~ $0.89)
  • Cost per 1K tokens: $0.001110
  • Tokens per dollar: 901,012 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: 34 minutes, 22.76 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-precision analytical tasks and complex reasoning; choose Gemini 3.1 Pro for high-throughput multimodal synthesis.

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: 800,000
Output Tokens: 1,000
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
🏆 Gemini 3.1 Flash Lite
Google
 $0.027875 (rounded ~ $0.03) Best Value ↓ 95% cheaper ↓ 96.9% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.033625 (rounded ~ $0.03) ↓ 94% cheaper ↓ 96.2% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.033625 (rounded ~ $0.03) ↓ 94% cheaper ↓ 96.2% cheaper
#4 Gemini 3.8 Flash
Google
 $0.083438 (rounded ~ $0.08) ↓ 85% cheaper ↓ 90.6% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.111500 (rounded ~ $0.11) ↓ 80% cheaper ↓ 87.5% cheaper
#6 Gemini 3.6 Flash
Google
 $0.166875 (rounded ~ $0.17) ↓ 70% cheaper ↓ 81.2% cheaper
#7 Gemini 3.5 Flash
Google
 $0.167250 (rounded ~ $0.17) ↓ 69.9% cheaper ↓ 81.2% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.222500 (rounded ~ $0.22) ↓ 60% cheaper ↓ 75% cheaper
#9 Gemini 3.1 Flash
Google
 $0.223000 (rounded ~ $0.22) ↓ 59.9% cheaper ↓ 74.9% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.278750 (rounded ~ $0.28) ↓ 49.9% cheaper ↓ 68.6% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.333750 (rounded ~ $0.33) ↓ 40% cheaper ↓ 62.5% cheaper
#12 Claude Opus 5
Anthropic
 $0.556250 (rounded ~ $0.56) Same price ↓ 37.4% cheaper
#13 Claude Opus 4.8
Anthropic
 $0.556250 (rounded ~ $0.56) Same price ↓ 37.4% cheaper
#14 Claude Opus 4.6
Anthropic
 $0.556250 (rounded ~ $0.56) Same price ↓ 37.4% cheaper
#15 Gemini 2.5 Pro
Google
 $0.557500 (rounded ~ $0.56) ↑ 0.2% more ↓ 37.3% cheaper
#16 GPT-5.6 Sol
OpenAI
 $0.557500 (rounded ~ $0.56) ↑ 0.2% more ↓ 37.3% cheaper
#17 Grok 4.3
xAI
 $0.884000 (rounded ~ $0.88) ↑ 58.9% more ↓ 0.6% cheaper
#18 Grok 4.20 Beta
xAI
 $0.884000 (rounded ~ $0.88) ↑ 58.9% more ↓ 0.6% cheaper
#19 Gemini 3.1 Pro
Google
 $0.889000 (rounded ~ $0.89) ↑ 59.8% more Same price
#20 Claude Fable 5.1
Anthropic
 $1.037500 (rounded ~ $1.04) ↑ 86.5% more ↑ 16.7% more
#21 Claude Mythos 5.1
Anthropic
 $1.037500 (rounded ~ $1.04) ↑ 86.5% more ↑ 16.7% more
#22 GPT-5.4
OpenAI
 $1.111250 (rounded ~ $1.11) ↑ 99.8% more ↑ 25% more
#23 GPT-5.4 Thinking
OpenAI
 $1.111250 (rounded ~ $1.11) ↑ 99.8% more ↑ 25% more
#24 Claude Fable 5
Anthropic
 $1.112500 (rounded ~ $1.11) ↑ 100% more ↑ 25.1% more
#25 Claude Mythos 5
Anthropic
 $1.112500 (rounded ~ $1.11) ↑ 100% more ↑ 25.1% more
#26 GPT-5.5
OpenAI
 $2.222500 (rounded ~ $2.22) ↑ 299.6% more ↑ 150% more
#27 GPT-6 Astra
OpenAI
 $4.450000 ↑ 700% more ↑ 400.6% more
#28 GPT-6 Astra
OpenAI
 $4.450000 ↑ 700% more ↑ 400.6% more
🏆

Gemini 3.1 Flash Lite
Google

$0.027875 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 95%
vs Gemini 3.1 Pro: ↓ 96.9%
🥈

Gemini 3.5 Flash-Lite
Google

$0.033625 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 94%
vs Gemini 3.1 Pro: ↓ 96.2%
🥉

Gemini 2.5 Flash
Google

$0.033625 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 94%
vs Gemini 3.1 Pro: ↓ 96.2%
#4

Gemini 3.8 Flash
Google

$0.083438 (rounded ~ $0.08)
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 90.6%
#5

GPT-5.6 Luna
OpenAI

$0.111500 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 80%
vs Gemini 3.1 Pro: ↓ 87.5%
#6

Gemini 3.6 Flash
Google

$0.166875 (rounded ~ $0.17)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81.2%
#7

Gemini 3.5 Flash
Google

$0.167250 (rounded ~ $0.17)
vs Claude Opus 4.7: ↓ 69.9%
vs Gemini 3.1 Pro: ↓ 81.2%
#8

Claude Sonnet 5
Anthropic

$0.222500 (rounded ~ $0.22)
vs Claude Opus 4.7: ↓ 60%
vs Gemini 3.1 Pro: ↓ 75%
#9

Gemini 3.1 Flash
Google

$0.223000 (rounded ~ $0.22)
vs Claude Opus 4.7: ↓ 59.9%
vs Gemini 3.1 Pro: ↓ 74.9%
#10

GPT-5.6 Terra
OpenAI

$0.278750 (rounded ~ $0.28)
vs Claude Opus 4.7: ↓ 49.9%
vs Gemini 3.1 Pro: ↓ 68.6%
#11

Claude Sonnet 4.6
Anthropic

$0.333750 (rounded ~ $0.33)
vs Claude Opus 4.7: ↓ 40%
vs Gemini 3.1 Pro: ↓ 62.5%
#12

Claude Opus 5
Anthropic

$0.556250 (rounded ~ $0.56)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.4%
#13

Claude Opus 4.8
Anthropic

$0.556250 (rounded ~ $0.56)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.4%
#14

Claude Opus 4.6
Anthropic

$0.556250 (rounded ~ $0.56)
vs Claude Opus 4.7: Same
vs Gemini 3.1 Pro: ↓ 37.4%
#15

Gemini 2.5 Pro
Google

$0.557500 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 0.2%
vs Gemini 3.1 Pro: ↓ 37.3%
#16

GPT-5.6 Sol
OpenAI

$0.557500 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 0.2%
vs Gemini 3.1 Pro: ↓ 37.3%
#17

Grok 4.3
xAI

$0.884000 (rounded ~ $0.88)
vs Claude Opus 4.7: ↑ 58.9%
vs Gemini 3.1 Pro: ↓ 0.6%
#18

Grok 4.20 Beta
xAI

$0.884000 (rounded ~ $0.88)
vs Claude Opus 4.7: ↑ 58.9%
vs Gemini 3.1 Pro: ↓ 0.6%
#19

Gemini 3.1 Pro
Google

$0.889000 (rounded ~ $0.89)
vs Claude Opus 4.7: ↑ 59.8%
vs Gemini 3.1 Pro: Same
#20

Claude Fable 5.1
Anthropic

$1.037500 (rounded ~ $1.04)
vs Claude Opus 4.7: ↑ 86.5%
vs Gemini 3.1 Pro: ↑ 16.7%
#21

Claude Mythos 5.1
Anthropic

$1.037500 (rounded ~ $1.04)
vs Claude Opus 4.7: ↑ 86.5%
vs Gemini 3.1 Pro: ↑ 16.7%
#22

GPT-5.4
OpenAI

$1.111250 (rounded ~ $1.11)
vs Claude Opus 4.7: ↑ 99.8%
vs Gemini 3.1 Pro: ↑ 25%
#23

GPT-5.4 Thinking
OpenAI

$1.111250 (rounded ~ $1.11)
vs Claude Opus 4.7: ↑ 99.8%
vs Gemini 3.1 Pro: ↑ 25%
#24

Claude Fable 5
Anthropic

$1.112500 (rounded ~ $1.11)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25.1%
#25

Claude Mythos 5
Anthropic

$1.112500 (rounded ~ $1.11)
vs Claude Opus 4.7: ↑ 100%
vs Gemini 3.1 Pro: ↑ 25.1%
#26

GPT-5.5
OpenAI

$2.222500 (rounded ~ $2.22)
vs Claude Opus 4.7: ↑ 299.6%
vs Gemini 3.1 Pro: ↑ 150%
#27

GPT-6 Astra
OpenAI

$4.450000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.6%
#28

GPT-6 Astra
OpenAI

$4.450000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.6%
✨ 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 High-Volume RAG

When engineering RAG pipelines that ingest 800K-token document sets, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often hinges on the specific nature of your retrieval requirements and downstream reasoning needs. Both models offer massive context windows that allow for loading entire document corpora directly, but their operational strengths diverge in production.

Claude Opus 4.7 excels in scenarios requiring rigorous multi-step reasoning, high-fidelity instruction following, and nuanced creative outputs. If your use case involves extracting complex legal or financial insights where document coherence is paramount, Opus 4.7’s structural intelligence often yields superior results. It is particularly effective at self-verification, which reduces the need for heavy-handed post-processing agents.

Gemini 3.1 Pro, conversely, is built for scale and native multimodality. Its architecture is heavily optimized for massive information synthesis. If your document pipelines are heavily multimodal—containing embedded charts, technical diagrams, or complex layouts—Gemini 3.1 Pro’s native vision capabilities provide a distinct advantage. Furthermore, developers frequently find that Gemini’s performance at the edge of its context window is highly consistent, making it a robust choice for high-volume, automated summarization tasks where latency and throughput are as critical as deep reasoning depth. For pipelines where you need to balance reasoning quality against high-frequency retrieval, test Gemini for its throughput efficiency and Claude for its precision-first workflows.

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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