Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.015625 (rounded ~ $0.02)
Output: $0.015625 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,500 output tokens:
- Input Cost: $0.625000 (rounded ~ $0.63)
- Output Cost: $0.015625 (rounded ~ $0.02)
- Total Cost: $0.359375
- Cost per 1K tokens: $0.000715
- Tokens per dollar: 1,398,261 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: 33 minutes, 10.85 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 252 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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💰 Total Cost Calculation (from Plugin)
Output: $0.022500 (rounded ~ $0.02)
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,500 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.022500 (rounded ~ $0.02)
- Total Cost: $0.572500 (rounded ~ $0.57)
- Cost per 1K tokens: $0.001139
- Tokens per dollar: 877,729 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: 21 minutes, 34.12 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 388 tokens/second (temperature-adjusted)
Best Use Cases
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.
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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 Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.018125 (rounded ~ $0.02) Best Value | ↓ 95% cheaper | ↓ 96.8% cheaper |
| 🥈 |
Nemotron 3 Super
Mistral AI
|
$0.021138 (rounded ~ $0.02) | ↓ 94.1% cheaper | ↓ 96.3% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.022188 (rounded ~ $0.02) | ↓ 93.8% cheaper | ↓ 96.1% cheaper |
| #4 |
Grok 4.3
xAI
|
$0.087500 (rounded ~ $0.09) | ↓ 75.7% cheaper | ↓ 84.7% cheaper |
| #5 |
Gemini 3.5 Flash
Google
|
$0.108750 (rounded ~ $0.11) | ↓ 69.7% cheaper | ↓ 81% cheaper |
| #6 |
Grok 4.20 Beta
xAI
|
$0.141250 (rounded ~ $0.14) | ↓ 60.7% cheaper | ↓ 75.3% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.145000 (rounded ~ $0.15) | ↓ 59.7% cheaper | ↓ 74.7% cheaper |
| #8 |
Claude Sonnet 4.6
Anthropic
|
$0.215625 (rounded ~ $0.22) | ↓ 40% cheaper | ↓ 62.3% cheaper |
| #9 |
Claude Opus 4.8
Anthropic
|
$0.359375 | Same price | ↓ 37.2% cheaper |
| #10 |
Claude Opus 4.6
Anthropic
|
$0.359375 | Same price | ↓ 37.2% cheaper |
| #11 |
Gemini 2.5 Pro
Google
|
$0.362500 (rounded ~ $0.36) | ↑ 0.9% more | ↓ 36.7% cheaper |
| #12 |
Gemini 3.1 Pro
Google
|
$0.572500 (rounded ~ $0.57) | ↑ 59.3% more | Same price |
| #13 |
GPT-5.4
OpenAI
|
$0.715625 (rounded ~ $0.72) | ↑ 99.1% more | ↑ 25% more |
| #14 |
GPT-5.4 Thinking
OpenAI
|
$0.715625 (rounded ~ $0.72) | ↑ 99.1% more | ↑ 25% more |
| #15 |
GPT-5.5
OpenAI
|
$1.431250 (rounded ~ $1.43) | ↑ 298.3% more | ↑ 150% more |
| #16 |
GPT-5.5
OpenAI
|
$1.431250 (rounded ~ $1.43) | ↑ 298.3% more | ↑ 150% more |
Gemini 3.1 Flash Lite Google
Nemotron 3 Super Mistral AI
Gemini 2.5 Flash Google
Grok 4.3 xAI
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
Gemini 3.1 Flash Google
Claude Sonnet 4.6 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 OpenAI
GPT-5.5 OpenAI
Choosing the Right Engine for Massive Document Ingest
For newsletter publishers and SaaS founders processing 500-page PDFs, context handling is the primary bottleneck. Whether you are synthesizing research reports, parsing legal contracts, or analyzing technical manuals, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often comes down to the nature of your input data rather than raw throughput.
Claude Opus 4.7 has emerged as the gold standard for dense, text-heavy reasoning. If your 500K-token documents require extracting nuanced insights, identifying logical contradictions, or synthesizing abstract arguments across disparate sections, Opus 4.7’s reasoning capabilities excel. Its ability to maintain coherence across massive context windows makes it the preferred choice for tasks where the quality of the summary is more critical than the speed of the generation.
Gemini 3.1 Pro, conversely, dominates when your long documents include complex visual data. If your reports are packed with charts, data tables, or wireframes that contain critical context, Gemini’s native multimodal architecture allows it to “see” and incorporate these elements directly into the summary without requiring pre-processing or OCR external to the model. Its massive context window is purpose-built for high-volume, multi-source workflows. For pipelines that prioritize speed and integrated multimodal understanding, Gemini often provides a more efficient path to actionable intelligence.
Ultimately, compare these based on your specific document structure: use Claude for complex, text-heavy synthesis and Gemini for visually dense, high-volume ingestion.