Claude Opus 4.7 vs Gemini 3.1 Pro: 1 Million Tokens for Autonomous Browser Agents

Claude Opus 4.7 has been replaced by Claude Opus 5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
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Opus 4.7
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (20% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $5.000000Worst $4.000000Best
Output Cost $0.050000Worst $0.036000 (rounded ~ $0.04)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $4.150000 Most Expensive $3.316000 (rounded ~ $3.32) Best Value
Processing Time 1 hour, 5 minutes, 31.10 seconds Slowest 42 minutes, 35.28 seconds Fastest
Tokens per Second 260Slowest 400Fastest
Time to First Token 400ms Worst 220ms Best
Cost per 1K tokens $0.004142Worst $0.003309Best
Tokens per Dollar 241,446Worst Value 302,171Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $4.000000Best
Output Cost / 1M (Base) $25.000000Worst $18.000000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: No optimizations applied
$4.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: No optimizations applied
$18.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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)
20%
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

$4.150000 Total Cost
$4.000000 Input Cost
$0.050000 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
$0.004142Cost per 1K
241,446Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

65m 31s Processing Time
260 Tokens/Second
400ms Time to First Token
255 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

$4.150000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% 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) $5.050000 Input: $5.000000
Output: $0.050000
Optimized Cost $4.150000 Input: $5.000000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.900000 17.8% discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.050000
  • Total Cost: $4.150000
  • Cost per 1K tokens: $0.004142
  • Tokens per dollar: 241,446 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, 5 minutes, 31.10 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexmulti-step browser automation where reasoning reliability is the top priority.

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

$3.316000 (rounded ~ $3.32)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% 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) $4.036000 (rounded ~ $4.04) Input: $4.000000
Output: $0.036000 (rounded ~ $0.04)
Optimized Cost $3.316000 (rounded ~ $3.32) Input: $4.000000
Output: $0.036000 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.720000 17.8% discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $4.000000
  • Output Cost: $0.036000 (rounded ~ $0.04)
  • Total Cost: $3.316000 (rounded ~ $3.32)
  • Cost per 1K tokens: $0.003309
  • Tokens per dollar: 302,171 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: 42 minutes, 35.28 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexmulti-step browser automation where reasoning reliability is the top priority.

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
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs Gemini 3.1 Pro
🏆 Gemini 3.5 Flash-Lite
Google
 $0.251000 (rounded ~ $0.25) Best Value ↓ 94% cheaper ↓ 92.4% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.622500 (rounded ~ $0.62) ↓ 85% cheaper ↓ 81.2% cheaper
🥉 Gemini 3.6 Flash
Google
 $1.245000 (rounded ~ $1.25) ↓ 70% cheaper ↓ 62.5% cheaper
#4 Gemini 2.5 Pro
Google
 $2.080000 ↓ 49.9% cheaper ↓ 37.3% cheaper
#5 GPT-5.4
OpenAI
 $4.145000 (rounded ~ $4.15) ↓ 0.1% cheaper ↑ 25% more
#6 GPT-5.4 Thinking
OpenAI
 $4.145000 (rounded ~ $4.15) ↓ 0.1% cheaper ↑ 25% more
#7 GPT-6 Astra
OpenAI
 $16.600000 ↑ 300% more ↑ 400.6% more
#8 GPT-6 Astra
OpenAI
 $16.600000 ↑ 300% more ↑ 400.6% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.251000 (rounded ~ $0.25)
vs Claude Opus 4.7: ↓ 94%
vs Gemini 3.1 Pro: ↓ 92.4%
🥈

Gemini 3.8 Flash
Google

$0.622500 (rounded ~ $0.62)
vs Claude Opus 4.7: ↓ 85%
vs Gemini 3.1 Pro: ↓ 81.2%
🥉

Gemini 3.6 Flash
Google

$1.245000 (rounded ~ $1.25)
vs Claude Opus 4.7: ↓ 70%
vs Gemini 3.1 Pro: ↓ 62.5%
#4

Gemini 2.5 Pro
Google

$2.080000
vs Claude Opus 4.7: ↓ 49.9%
vs Gemini 3.1 Pro: ↓ 37.3%
#5

GPT-5.4
OpenAI

$4.145000 (rounded ~ $4.15)
vs Claude Opus 4.7: ↓ 0.1%
vs Gemini 3.1 Pro: ↑ 25%
#6

GPT-5.4 Thinking
OpenAI

$4.145000 (rounded ~ $4.15)
vs Claude Opus 4.7: ↓ 0.1%
vs Gemini 3.1 Pro: ↑ 25%
#7

GPT-6 Astra
OpenAI

$16.600000
vs Claude Opus 4.7: ↑ 300%
vs Gemini 3.1 Pro: ↑ 400.6%
#8

GPT-6 Astra
OpenAI

$16.600000
vs Claude Opus 4.7: ↑ 300%
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 the Right Model for Agentic Workflows

Agentic browser automation demands more than just raw text generation; it requires reliable function calling, precise navigation, and the ability to maintain context over 20-50 multi-step tool interactions per session. When evaluating models for these tasks, the primary challenge is minimizing error rates in DOM interpretation and navigation sequences.

Claude Opus 4.7 is often favored for its deep reasoning capabilities and strict adherence to complex instructions. In browser-based agents, this translates to fewer abandoned sessions where the agent loses its place or misunderstands a button’s purpose on a cluttered webpage. It excels when the browser environment involves intricate workflows, like multi-stage form submission or data extraction from dynamic, non-standard layouts.

Conversely, Gemini 3.1 Pro leverages native multimodal integration that can be a significant advantage when browser tasks involve visual queues—such as identifying elements in a screenshot or interacting with canvas-based web apps. Its architecture is tuned for high-throughput environments, making it a compelling candidate if your browser agents need to run in parallel at high velocity without sacrificing the intent of the automation.

For freelance copywriters and developers scaling automation, consider the trade-off between the depth of reasoning required for your specific site interactions and the speed of response needed for a smooth user experience. Testing both with your specific browser automation framework is recommended to gauge how each handles your target site’s unique DOM structure.

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.

Compare across providers

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