Long-Form Video Pipelines: Claude Opus 4.7 vs Gemini 3.1 Pro for 1 Million Tokens

Claude Opus 4.7 vs Gemini 3.1 Pro
Complete Comparison: 1,000,000 input tokens × 10,000 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) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (40% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 10,000 10,000
Cost Breakdown
Input Cost $1.250000Best $2.000000Worst
Output Cost $0.062500 (rounded ~ $0.06)Best $0.090000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.862500 (rounded ~ $0.86) Best Value $1.370000 Most Expensive
Processing Time 1 hour, 9 minutes, 16.72 seconds Slowest 45 minutes, 1.93 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000854Best $0.001356Worst
Tokens per Dollar 1,171,014Best Value 737,226Worst 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
40
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

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

$0.862500 Total Cost
$0.750000 Input Cost
$0.062500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,010,000Total Tokens
$0.000854Cost per 1K
1,171,014Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

69m 16s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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 Opus 4.7 Anthropic 1000000

$0.862500 (rounded ~ $0.86)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 40% 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) $1.312500 (rounded ~ $1.31) Input: $1.250000
Output: $0.062500 (rounded ~ $0.06)
Optimized Cost $0.862500 (rounded ~ $0.86) Input: $1.250000
Output: $0.062500 (rounded ~ $0.06)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 34.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 10,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.062500 (rounded ~ $0.06)
  • Total Cost: $0.862500 (rounded ~ $0.86)
  • Cost per 1K tokens: $0.000854
  • Tokens per dollar: 1,171,014 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 hour, 9 minutes, 16.72 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Comparing premium creative output (Claude) against massive context ingestion (Gemini) for high-volume video script factories.

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

$1.370000
Total Cost
⚡ 40% 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) $2.090000 Input: $2.000000
Output: $0.090000
Optimized Cost $1.370000 Input: $2.000000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.720000 34.4% 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 1,000,000 input tokens and 10,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.090000
  • Total Cost: $1.370000
  • Cost per 1K tokens: $0.001356
  • Tokens per dollar: 737,226 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: 45 minutes, 1.93 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Comparing premium creative output (Claude) against massive context ingestion (Gemini) for high-volume video script factories.

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: 1,000,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Grok 4.20 Beta
xAI
 $0.335000 (rounded ~ $0.34) Best Value ↓ 61.2% cheaper ↓ 75.5% cheaper
🥈 Gemini 2.5 Pro
Google
 $0.875000 (rounded ~ $0.88) ↑ 1.4% more ↓ 36.1% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.370000 ↑ 58.8% more Same price
#4 GPT-5.4
OpenAI
 $1.712500 (rounded ~ $1.71) ↑ 98.6% more ↑ 25% more
#5 GPT-5.4 Thinking
OpenAI
 $1.712500 (rounded ~ $1.71) ↑ 98.6% more ↑ 25% more
#6 GPT-5.4 Thinking
OpenAI
 $1.712500 (rounded ~ $1.71) ↑ 98.6% more ↑ 25% more
🏆

Grok 4.20 Beta
xAI

$0.335000 (rounded ~ $0.34)
vs Claude Opus 4.7: ↓ 61.2%
vs Gemini 3.1 Pro: ↓ 75.5%
🥈

Gemini 2.5 Pro
Google

$0.875000 (rounded ~ $0.88)
vs Claude Opus 4.7: ↑ 1.4%
vs Gemini 3.1 Pro: ↓ 36.1%
🥉

Gemini 3.1 Pro
Google

$1.370000
vs Claude Opus 4.7: ↑ 58.8%
vs Gemini 3.1 Pro: Same
#4

GPT-5.4
OpenAI

$1.712500 (rounded ~ $1.71)
vs Claude Opus 4.7: ↑ 98.6%
vs Gemini 3.1 Pro: ↑ 25%
#5

GPT-5.4 Thinking
OpenAI

$1.712500 (rounded ~ $1.71)
vs Claude Opus 4.7: ↑ 98.6%
vs Gemini 3.1 Pro: ↑ 25%
#6

GPT-5.4 Thinking
OpenAI

$1.712500 (rounded ~ $1.71)
vs Claude Opus 4.7: ↑ 98.6%
vs Gemini 3.1 Pro: ↑ 25%
✨ 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.

Deep Context vs. Creative Nuance in Video Production

When scaling a video script pipeline to 1 million tokens and beyond, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the source material density. Enterprise teams frequently use RAG to ground scripts in thousands of pages of brand guidelines or historical footage transcripts. This makes context window management the primary technical hurdle for any CTO architecting the system.

Claude Opus 4.7 is widely recognized for its sophisticated grasp of tone and “human-like” prose, making it the preferred choice for high-end marketing and storytelling where creative nuance is non-negotiable. It handles complex multi-step instructions with high fidelity. Conversely, Gemini 3.1 Pro offers a significantly larger context buffer, which is vital for pipelines requiring the ingestion of massive datasets—such as summarizing hundreds of hours of video transcripts to generate a new series script.

  • Contextual Grounding: Gemini’s massive window allows for direct ingestion of long-form data without complex and lossy chunking strategies.
  • Creative Fidelity: Claude typically requires fewer iterative prompts to achieve a production-ready script draft, saving developer time.
  • Infrastructure Fit: Gemini offers tight integration with Google Cloud’s media processing stack, while Claude provides more flexibility for multi-cloud strategies.

For a startup, the decision hinges on whether your pipeline is retrieval-heavy or creativity-heavy. Gemini wins on raw data ingestion and context length, while Claude remains the benchmark for final creative output quality and stylistic adherence.

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.