Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.012500 (rounded ~ $0.01)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
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: $0.475000 (rounded ~ $0.48)
- Cost per 1K tokens: $0.000474
- Tokens per dollar: 2,109,474 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, 7 minutes, 26.72 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 248 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.270000
Output: $0.270000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 2,000 output tokens:
- Input Cost: $30.000000
- Output Cost: $0.270000
- Total Cost: $11.370000
- Cost per 1K tokens: $0.011347 (rounded ~ $0.01)
- Tokens per dollar: 88,127 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 250ms time to first token:
- Processing Time: 50 minutes, 6.18 seconds
- Latency: 250 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 333 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Claude Opus 4.7| Rank | AI Model & Provider | Total Cost | vs Claude Opus 4.7 | vs GPT-5.4 Pro |
|---|---|---|---|---|
| 🏆 |
Grok 4.20 Beta
xAI
|
$0.188000 (rounded ~ $0.19) Best Value | ↓ 60.4% cheaper | ↓ 98.3% cheaper |
| 🥈 |
Gemini 2.5 Pro
Google
|
$0.477500 (rounded ~ $0.48) | ↑ 0.5% more | ↓ 95.8% cheaper |
| 🥉 |
Gemini 3.1 Pro
Google
|
$0.758000 (rounded ~ $0.76) | ↑ 59.6% more | ↓ 93.3% cheaper |
| #4 |
GPT-5.4
OpenAI
|
$0.947500 (rounded ~ $0.95) | ↑ 99.5% more | ↓ 91.7% cheaper |
| #5 |
GPT-5.4 Thinking
OpenAI
|
$0.947500 (rounded ~ $0.95) | ↑ 99.5% more | ↓ 91.7% cheaper |
| #6 |
GPT-5.4 Thinking
OpenAI
|
$0.947500 (rounded ~ $0.95) | ↑ 99.5% more | ↓ 91.7% cheaper |
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.4 Thinking OpenAI
Navigating the Frontier of Enterprise RAG
For organizations managing 100M-token-plus RAG pipelines, the decision between Claude Opus 4.7 and GPT-5.4 Pro often comes down to the specific nature of the reasoning required. Both models support massive context windows, making them capable of ingesting entire enterprise knowledge bases for retrieval-augmented generation. However, their architectural strengths differ in ways that impact long-term pipeline performance.
Claude Opus 4.7: The Precision Specialist
Claude Opus 4.7 is increasingly favored for tasks where high-fidelity instruction following and nuanced, agentic coding are paramount. In RAG pipelines involving dense technical documentation or legal frameworks, Opus 4.7’s ability to maintain focus across massive context windows with minimal drift is a significant advantage. It excels at extracting precise entities and relationships, reducing the need for iterative prompting and manual verification.
GPT-5.4 Pro: The Reasoning Workhorse
GPT-5.4 Pro, by contrast, is built for deep, multi-step analytical work. For RAG systems that require advanced synthesis—such as summarizing complex findings across dozens of disparate sources or performing competitive intelligence research—GPT-5.4 Pro’s reasoning capabilities often yield more comprehensive, decision-ready outputs. Its strength lies in handling high-stakes workflows where the cost of a hallucinated or incomplete answer is high.
Ultimately, the choice depends on your pipeline’s intent. If your primary goal is surgical extraction and reliable adherence to strict formatting guidelines, Claude Opus 4.7 is a robust choice. If your pipeline demands sophisticated, multi-perspective synthesis and rigorous problem-solving, GPT-5.4 Pro provides the analytical depth required to transform raw data into actionable enterprise intelligence.