Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.003125
Output: $0.003125
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 500 output tokens:
- Input Cost: $0.250000
- Output Cost: $0.003125
- Total Cost: $0.140625
- Cost per 1K tokens: $0.000701
- Tokens per dollar: 1,425,778 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: 13 minutes, 45.31 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 243 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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Get my instant AI audit — $39 →GPT-5.5 OpenAI 1000000 🏔️ Context Cliff
💰 Total Cost Calculation (from Plugin)
Output: $0.011250 (rounded ~ $0.01)
Output: $0.011250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 500 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.011250 (rounded ~ $0.01)
- Total Cost: $0.561250 (rounded ~ $0.56)
- Cost per 1K tokens: $0.002799
- Tokens per dollar: 357,238 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 8 minutes, 30.98 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 393 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-5.5. 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-5.5 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.007063 (rounded ~ $0.01) Best Value | ↓ 95% cheaper | ↓ 98.7% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.008563 (rounded ~ $0.01) | ↓ 93.9% cheaper | ↓ 98.5% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.008563 (rounded ~ $0.01) | ↓ 93.9% cheaper | ↓ 98.5% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.013938 (rounded ~ $0.01) | ↓ 90.1% cheaper | ↓ 97.5% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.021094 (rounded ~ $0.02) | ↓ 85% cheaper | ↓ 96.2% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.021188 (rounded ~ $0.02) | ↓ 84.9% cheaper | ↓ 96.2% cheaper |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.028125 (rounded ~ $0.03) | ↓ 80% cheaper | ↓ 95% cheaper |
| #8 |
GPT-5.6 Luna
OpenAI
|
$0.028250 (rounded ~ $0.03) | ↓ 79.9% cheaper | ↓ 95% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.042188 (rounded ~ $0.04) | ↓ 70% cheaper | ↓ 92.5% cheaper |
| #10 |
Gemini 3.5 Flash
Google
|
$0.042375 (rounded ~ $0.04) | ↓ 69.9% cheaper | ↓ 92.4% cheaper |
| #11 |
Claude Sonnet 5
Anthropic
|
$0.056250 (rounded ~ $0.06) | ↓ 60% cheaper | ↓ 90% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.056500 (rounded ~ $0.06) | ↓ 59.8% cheaper | ↓ 89.9% cheaper |
| #13 |
GPT-5.6 Terra
OpenAI
|
$0.070625 | ↓ 49.8% cheaper | ↓ 87.4% cheaper |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$0.084375 (rounded ~ $0.08) | ↓ 40% cheaper | ↓ 85% cheaper |
| #15 |
Claude Opus 5
Anthropic
|
$0.140625 | Same price | ↓ 74.9% cheaper |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.140625 | Same price | ↓ 74.9% cheaper |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.140625 | Same price | ↓ 74.9% cheaper |
| #18 |
GPT-5.4
OpenAI
|
$0.141250 (rounded ~ $0.14) | ↑ 0.4% more | ↓ 74.8% cheaper |
| #19 |
GPT-5.4 Thinking
OpenAI
|
$0.141250 (rounded ~ $0.14) | ↑ 0.4% more | ↓ 74.8% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.141250 (rounded ~ $0.14) | ↑ 0.4% more | ↓ 74.8% cheaper |
| #21 |
GPT-5.5 Instant
OpenAI
|
$0.141250 (rounded ~ $0.14) | ↑ 0.4% more | ↓ 74.8% cheaper |
| #22 |
GPT-5.6 Sol
OpenAI
|
$0.141250 (rounded ~ $0.14) | ↑ 0.4% more | ↓ 74.8% cheaper |
| #23 |
Grok 4.3
xAI
|
$0.222000 (rounded ~ $0.22) | ↑ 57.9% more | ↓ 60.4% cheaper |
| #24 |
Grok 4.20 Beta
xAI
|
$0.222000 (rounded ~ $0.22) | ↑ 57.9% more | ↓ 60.4% cheaper |
| #25 |
Gemini 3.1 Pro
Google
|
$0.224500 (rounded ~ $0.22) | ↑ 59.6% more | ↓ 60% cheaper |
| #26 |
Claude Fable 5.1
Anthropic
|
$0.262500 (rounded ~ $0.26) | ↑ 86.7% more | ↓ 53.2% cheaper |
| #27 |
Claude Mythos 5.1
Anthropic
|
$0.262500 (rounded ~ $0.26) | ↑ 86.7% more | ↓ 53.2% cheaper |
| #28 |
Claude Fable 5
Anthropic
|
$0.281250 (rounded ~ $0.28) | ↑ 100% more | ↓ 49.9% cheaper |
| #29 |
Claude Mythos 5
Anthropic
|
$0.281250 (rounded ~ $0.28) | ↑ 100% more | ↓ 49.9% cheaper |
| #30 |
GPT-5.5
OpenAI
|
$0.561250 (rounded ~ $0.56) | ↑ 299.1% more | Same price |
| #31 |
GPT-6 Astra
OpenAI
|
$1.125000 (rounded ~ $1.13) | ↑ 700% more | ↑ 100.4% more |
| #32 |
GPT-6 Astra
OpenAI
|
$1.125000 (rounded ~ $1.13) | ↑ 700% more | ↑ 100.4% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
When scaling RAG pipelines for real estate portfolios, the choice between Claude Opus 4.7 and GPT-5.5 often comes down to the specific nature of your document analysis. Claude Opus 4.7 is frequently favored for tasks requiring deep, nuanced understanding of complex legal documents, lease agreements, and survey reports. Its architecture allows for precise extraction of clauses and maintaining context over large, dense documents, which is essential for accurate retrieval in legal or compliance-heavy real estate workflows.
Conversely, GPT-5.5 excels in agentic environments where the chatbot needs to perform multi-step reasoning or execute complex function calls. If your RAG chatbot functions more like an autonomous agent—performing tasks like booking viewings, querying CRM data, and cross-referencing multiple property databases—GPT-5.5’s tool-calling capabilities and operational speed offer a distinct advantage.
For teams managing 10 million tokens monthly, evaluate your pipeline’s primary bottleneck. If your system is retrieval-heavy with high reliance on structured extraction, Claude provides superior fidelity. If your system is action-oriented with frequent external API interactions, GPT-5.5 is often the more versatile choice. Consider deploying a hybrid approach where Claude handles the deep analysis and GPT-5.5 orchestrates the action-based workflows to optimize both quality and operational efficiency.