Claude Opus 4.7 Anthropic 1000000
$0.925000 (rounded ~ $0.93)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
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)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost
$0.925000 (rounded ~ $0.93)
Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.337500 (rounded ~ $0.34)
26.7% 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: $0.925000 (rounded ~ $0.93)
- Cost per 1K tokens: $0.000923
- Tokens per dollar: 1,083,243 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
Choose Claude for superior reasoning and drafting quality; choose Gemini for massive context windows and Google ecosystem integration.
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
$1.478000 (rounded ~ $1.48)
Total Cost
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)
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost
$1.478000 (rounded ~ $1.48)
Input: $2.000000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.540000
26.8% 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: $1.478000 (rounded ~ $1.48)
- Cost per 1K tokens: $0.001475
- Tokens per dollar: 677,943 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: 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
Choose Claude for superior reasoning and drafting quality; choose Gemini for massive context windows and Google ecosystem integration.
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:
30%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Claude Opus 4.7 | vs Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Grok 4.20 Beta
xAI
|
$0.368000 (rounded ~ $0.37) Best Value | ↓ 60.2% cheaper | ↓ 75.1% cheaper |
| 🥈 |
Gemini 2.5 Pro
Google
|
$0.927500 (rounded ~ $0.93) | ↑ 0.3% more | ↓ 37.2% cheaper |
| 🥉 |
Gemini 3.1 Pro
Google
|
$1.478000 (rounded ~ $1.48) | ↑ 59.8% more | Same price |
| #4 |
GPT-5.4
OpenAI
|
$1.847500 (rounded ~ $1.85) | ↑ 99.7% more | ↑ 25% more |
| #5 |
GPT-5.4 Thinking
OpenAI
|
$1.847500 (rounded ~ $1.85) | ↑ 99.7% more | ↑ 25% more |
| #6 |
GPT-5.4 Thinking
OpenAI
|
$1.847500 (rounded ~ $1.85) | ↑ 99.7% more | ↑ 25% more |
🏆
Grok 4.20 Beta
Grok 4.20 Beta xAI
$0.368000 (rounded ~ $0.37)
vs Claude Opus 4.7:
↓ 60.2%
vs Gemini 3.1 Pro:
↓ 75.1%
🥈
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.927500 (rounded ~ $0.93)
vs Claude Opus 4.7:
↑ 0.3%
vs Gemini 3.1 Pro:
↓ 37.2%
🥉
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$1.478000 (rounded ~ $1.48)
vs Claude Opus 4.7:
↑ 59.8%
vs Gemini 3.1 Pro:
Same
#4
GPT-5.4
GPT-5.4 OpenAI
$1.847500 (rounded ~ $1.85)
vs Claude Opus 4.7:
↑ 99.7%
vs Gemini 3.1 Pro:
↑ 25%
#5
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$1.847500 (rounded ~ $1.85)
vs Claude Opus 4.7:
↑ 99.7%
vs Gemini 3.1 Pro:
↑ 25%
#6
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$1.847500 (rounded ~ $1.85)
vs Claude Opus 4.7:
↑ 99.7%
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.
Optimizing Research Pipelines for High-Volume Newsletters
For publishers managing a 50K-subscriber list, the ability to query vast archives of daily research summaries is a competitive necessity. When scaling RAG (Retrieval-Augmented Generation) systems to handle 100 million tokens monthly, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the nature of your source material.
- Instruction Adherence: Claude Opus 4.7 is widely recognized for its superior ability to follow complex, multi-step formatting requirements, making it ideal for generating final newsletter drafts from raw research notes.
- Context Window Utilization: Gemini 3.1 Pro offers an expansive context window that excels at “needle-in-a-haystack” retrieval across months of historical data without needing complex chunking strategies.
While both models provide enterprise-grade reliability, publishers should evaluate their existing cloud architecture. Gemini’s deep integration with Google Workspace tools can streamline workflows for teams already using the Google ecosystem, whereas Claude’s artifacts and structured output capabilities often reduce the need for manual post-processing of marketing copy and summaries.
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.