Claude Opus 4.7 vs Gemini 3.1 Pro for 1 Million Token Translation Batches

Claude Opus 4.7 has been replaced by Claude Opus 5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: 1,000,000 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 Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $1.250000Best $2.000000Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.018000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.700000 Best Value $1.118000 (rounded ~ $1.12) Most Expensive
Processing Time 1 hour, 8 minutes, 43.80 seconds Slowest 44 minutes, 40.53 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.000699Best $0.001116Worst
Tokens per Dollar 1,431,429Best Value 896,243Worst 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
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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)
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

$0.700000 Total Cost
$0.625000 Input Cost
$0.012500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.000699Cost per 1K
1,431,429Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

68m 43s 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

$0.700000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% Cached 📊 Batch API
👁️
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) $1.262500 (rounded ~ $1.26) Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.700000 Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.562500 (rounded ~ $0.56) 44.6% 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 2,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.700000
  • Cost per 1K tokens: $0.000699
  • Tokens per dollar: 1,431,429 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, 8 minutes, 43.80 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for brand-sensitive marketing copy; use Gemini 3.1 Pro for high-volumediverse multilingual catalog localization.

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

$1.118000 (rounded ~ $1.12)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% Cached 📊 Batch API
👁️
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) $2.018000 (rounded ~ $2.02) Input: $2.000000
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $1.118000 (rounded ~ $1.12) Input: $2.000000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.900000 44.6% 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 2,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $1.118000 (rounded ~ $1.12)
  • Cost per 1K tokens: $0.001116
  • Tokens per dollar: 896,243 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: 44 minutes, 40.53 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for brand-sensitive marketing copy; use Gemini 3.1 Pro for high-volumediverse multilingual catalog localization.

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: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Gemini 3.5 Flash-Lite
Google
 $0.042500 (rounded ~ $0.04) Best Value ↓ 93.9% cheaper ↓ 96.2% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.105000 (rounded ~ $0.11) ↓ 85% cheaper ↓ 90.6% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.210000 ↓ 70% cheaper ↓ 81.2% cheaper
#4 Gemini 2.5 Pro
Google
 $0.702500 (rounded ~ $0.70) ↑ 0.4% more ↓ 37.2% cheaper
#5 GPT-5.4
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 99.6% more ↑ 25% more
#6 GPT-5.4 Thinking
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 99.6% more ↑ 25% more
#7 GPT-6 Astra
OpenAI
 $5.600000 ↑ 700% more ↑ 400.9% more
#8 GPT-6 Astra
OpenAI
 $5.600000 ↑ 700% more ↑ 400.9% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.042500 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 93.9%
vs Gemini 3.1 Pro: ↓ 96.2%
🥈

Gemini 3.8 Flash
Google

$0.105000 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 90.6%
🥉

Gemini 3.6 Flash
Google

$0.210000
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81.2%
#4

Gemini 2.5 Pro
Google

$0.702500 (rounded ~ $0.70)
vs Claude Opus 4.7: ↑ 0.4%
vs Gemini 3.1 Pro: ↓ 37.2%
#5

GPT-5.4
OpenAI

$1.397500 (rounded ~ $1.40)
vs Claude Opus 4.7: ↑ 99.6%
vs Gemini 3.1 Pro: ↑ 25%
#6

GPT-5.4 Thinking
OpenAI

$1.397500 (rounded ~ $1.40)
vs Claude Opus 4.7: ↑ 99.6%
vs Gemini 3.1 Pro: ↑ 25%
#7

GPT-6 Astra
OpenAI

$5.600000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.9%
#8

GPT-6 Astra
OpenAI

$5.600000
vs Claude Opus 4.7: ↑ 700%
vs Gemini 3.1 Pro: ↑ 400.9%
✨ 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 marketing managers tasked with localizing large product catalogs, choosing between Claude Opus 4.7 and Gemini 3.1 Pro is a strategic decision that goes beyond simple word-for-word conversion. Claude Opus 4.7 excels in scenarios where cultural nuance, tone-of-voice consistency, and professional polish are paramount. It is particularly effective for high-value marketing collateral where the translation must feel native and emotionally resonant rather than strictly functional. Its ability to follow complex, multi-step instructions makes it a strong contender for maintaining brand voice across 12 distinct languages.

Gemini 3.1 Pro, conversely, leverages Google’s deep integration across diverse linguistic datasets, making it an exceptionally robust workhorse for large-scale, high-volume translation pipelines. If your requirement is broad-spectrum reliability across 100+ languages with consistent performance, Gemini’s architecture offers a reliable backbone. Its multimodal capabilities also allow it to ingest product images alongside text, which is an advantage if your catalog includes charts, infographics, or technical diagrams that need to be localized alongside the copy.

When evaluating these for a translation pipeline, consider your deployment environment. If you operate within the Google Cloud ecosystem, Gemini 3.1 Pro provides seamless integration paths that can accelerate your time-to-market. Conversely, if your priority is achieving the highest level of linguistic precision for a premium brand, Claude Opus 4.7’s sophisticated reasoning often provides the necessary edge to avoid generic, robotic-sounding output. Both models support large context windows, allowing for bulk processing of catalog segments without constant, fragmented API calls.

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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