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 100,000 input tokens and 2,000 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $0.081250 (rounded ~ $0.08)
- Cost per 1K tokens: $0.000797
- Tokens per dollar: 1,255,385 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: 6 minutes, 40.33 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 255 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.012000 (rounded ~ $0.01)
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 2,000 output tokens:
- Input Cost: $0.100000
- Output Cost: $0.012000 (rounded ~ $0.01)
- Total Cost: $0.067000 (rounded ~ $0.07)
- Cost per 1K tokens: $0.000657
- Tokens per dollar: 1,522,388 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: 4 minutes, 20.28 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 392 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.
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| Rank | AI Model & Provider | Total Cost | vs Claude Opus 4.7 | vs Gemini 3.1 Pro |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001525 Best Value | ↓ 98.1% cheaper | ↓ 97.7% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.003500 | ↓ 95.7% cheaper | ↓ 94.8% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.004188 | ↓ 94.8% cheaper | ↓ 93.8% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 93.4% cheaper | ↓ 92% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007625 (rounded ~ $0.01) | ↓ 90.6% cheaper | ↓ 88.6% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.012563 (rounded ~ $0.01) | ↓ 84.5% cheaper | ↓ 81.3% cheaper |
| #7 |
o4-mini Deep Research
OpenAI
|
$0.015750 (rounded ~ $0.02) | ↓ 80.6% cheaper | ↓ 76.5% cheaper |
| #8 |
Claude Haiku 4.5
Anthropic
|
$0.016250 (rounded ~ $0.02) | ↓ 80% cheaper | ↓ 75.7% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.016750 (rounded ~ $0.02) | ↓ 79.4% cheaper | ↓ 75% cheaper |
| #10 |
o4-mini
OpenAI
|
$0.017325 (rounded ~ $0.02) | ↓ 78.7% cheaper | ↓ 74.1% cheaper |
| #11 |
Grok 4.3
xAI
|
$0.018438 (rounded ~ $0.02) | ↓ 77.3% cheaper | ↓ 72.5% cheaper |
| #12 |
Gemini 3.5 Flash
Google
|
$0.025125 (rounded ~ $0.03) | ↓ 69.1% cheaper | ↓ 62.5% cheaper |
| #13 |
Grok 4.20 Beta
xAI
|
$0.030500 | ↓ 62.5% cheaper | ↓ 54.5% cheaper |
| #14 |
GPT-5.3 Codex Spark
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 61.8% cheaper | ↓ 53.6% cheaper |
| #15 |
GPT-5.3 Instant
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 61.8% cheaper | ↓ 53.6% cheaper |
| #16 |
Gemini 2.5 Pro
Google
|
$0.044375 (rounded ~ $0.04) | ↓ 45.4% cheaper | ↓ 33.8% cheaper |
| #17 |
Claude Sonnet 4.6
Anthropic
|
$0.048750 (rounded ~ $0.05) | ↓ 40% cheaper | ↓ 27.2% cheaper |
| #18 |
Gemini 3.1 Pro
Google
|
$0.067000 (rounded ~ $0.07) | ↓ 17.5% cheaper | Same price |
| #19 |
Claude Opus 4.8
Anthropic
|
$0.081250 (rounded ~ $0.08) | Same price | ↑ 21.3% more |
| #20 |
Claude Opus 4.6
Anthropic
|
$0.081250 (rounded ~ $0.08) | Same price | ↑ 21.3% more |
| #21 |
GPT-5.4
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 25% more |
| #22 |
GPT-5.4 Thinking
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 25% more |
| #23 |
GPT-5.5 Instant
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 25% more |
| #24 |
o3 Deep Research
OpenAI
|
$0.157500 (rounded ~ $0.16) | ↑ 93.8% more | ↑ 135.1% more |
| #25 |
GPT-5.5
OpenAI
|
$0.167500 (rounded ~ $0.17) | ↑ 106.2% more | ↑ 150% more |
| #26 |
o3 Pro
OpenAI
|
$0.315000 (rounded ~ $0.32) | ↑ 287.7% more | ↑ 370.1% more |
| #27 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 358.8% more | ↑ 456.3% more |
| #28 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 358.8% more | ↑ 456.3% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Navigating Financial Complexity
Financial earnings analysis requires models that can not only ingest vast amounts of structured and unstructured data but also maintain logical integrity across lengthy, complex documents. For localization managers and financial analysts, the choice between Claude Opus 4.7 and Gemini 3.1 Pro hinges on specific organizational needs regarding reasoning and data handling.
Claude Opus 4.7 excels in scenarios where deep, nuanced reasoning is non-negotiable. Its architecture is optimized for following complex, layered instructions, making it particularly effective when extracting specific financial covenants or interpreting management commentary in 10-K filings. It maintains a strong track record of reliability, ensuring that the relationships between disparate financial data points are accurately preserved without losing the thread of the document.
Conversely, Gemini 3.1 Pro offers a distinct advantage in multimodal reasoning. Its ability to process text, tables, and images simultaneously is a major benefit when dealing with financial reports that are dense with charts, appendices, and diagrams. If your pipeline involves visual verification or extracting data directly from screenshots and graphical presentations, Gemini’s native multimodal capabilities provide a smoother integration path.
Ultimately, Claude Opus 4.7 is your choice for high-stakes, precision-oriented document review where logic and instruction-following are the primary metrics. Gemini 3.1 Pro stands out for workflows where the document surface area includes a high volume of visual data that must be synthesized alongside the core text. Both models support large context windows, ensuring that your long-form financial analysis remains coherent and comprehensive.