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 200,000 input tokens and 2,000 output tokens:
- Input Cost: $0.250000
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $0.150000
- Cost per 1K tokens: $0.000743
- Tokens per dollar: 1,346,667 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, 12.64 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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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: $0.018000 (rounded ~ $0.02)
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 200,000 input tokens and 2,000 output tokens:
- Input Cost: $0.400000
- Output Cost: $0.018000 (rounded ~ $0.02)
- Total Cost: $0.238000 (rounded ~ $0.24)
- Cost per 1K tokens: $0.001178
- Tokens per dollar: 848,739 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 8 minutes, 35.28 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.
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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
|
$0.007625 (rounded ~ $0.01) Best Value | ↓ 94.9% cheaper | ↓ 96.8% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.009500 | ↓ 93.7% cheaper | ↓ 96% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.009500 | ↓ 93.7% cheaper | ↓ 96% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.014500 (rounded ~ $0.01) | ↓ 90.3% cheaper | ↓ 93.9% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.022500 (rounded ~ $0.02) | ↓ 85% cheaper | ↓ 90.5% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.022875 (rounded ~ $0.02) | ↓ 84.8% cheaper | ↓ 90.4% cheaper |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.030000 | ↓ 80% cheaper | ↓ 87.4% cheaper |
| #8 |
GPT-5.6 Luna
OpenAI
|
$0.030500 | ↓ 79.7% cheaper | ↓ 87.2% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.045000 (rounded ~ $0.05) | ↓ 70% cheaper | ↓ 81.1% cheaper |
| #10 |
Gemini 3.5 Flash
Google
|
$0.045750 (rounded ~ $0.05) | ↓ 69.5% cheaper | ↓ 80.8% cheaper |
| #11 |
Claude Sonnet 5
Anthropic
|
$0.060000 | ↓ 60% cheaper | ↓ 74.8% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.061000 (rounded ~ $0.06) | ↓ 59.3% cheaper | ↓ 74.4% cheaper |
| #13 |
GPT-5.6 Terra
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↓ 49.2% cheaper | ↓ 68% cheaper |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$0.090000 | ↓ 40% cheaper | ↓ 62.2% cheaper |
| #15 |
Claude Opus 5
Anthropic
|
$0.150000 | Same price | ↓ 37% cheaper |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.150000 | Same price | ↓ 37% cheaper |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.150000 | Same price | ↓ 37% cheaper |
| #18 |
GPT-5.4
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 1.7% more | ↓ 35.9% cheaper |
| #19 |
GPT-5.4 Thinking
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 1.7% more | ↓ 35.9% cheaper |
| #20 |
Gemini 2.5 Pro
Google
|
$0.152500 (rounded ~ $0.15) | ↑ 1.7% more | ↓ 35.9% cheaper |
| #21 |
GPT-5.5 Instant
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 1.7% more | ↓ 35.9% cheaper |
| #22 |
GPT-5.6 Sol
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↑ 1.7% more | ↓ 35.9% cheaper |
| #23 |
Grok 4.3
xAI
|
$0.228000 (rounded ~ $0.23) | ↑ 52% more | ↓ 4.2% cheaper |
| #24 |
Grok 4.20 Beta
xAI
|
$0.228000 (rounded ~ $0.23) | ↑ 52% more | ↓ 4.2% cheaper |
| #25 |
Gemini 3.1 Pro
Google
|
$0.238000 (rounded ~ $0.24) | ↑ 58.7% more | Same price |
| #26 |
Claude Fable 5.1
Anthropic
|
$0.281250 (rounded ~ $0.28) | ↑ 87.5% more | ↑ 18.2% more |
| #27 |
Claude Mythos 5.1
Anthropic
|
$0.281250 (rounded ~ $0.28) | ↑ 87.5% more | ↑ 18.2% more |
| #28 |
Claude Fable 5
Anthropic
|
$0.300000 | ↑ 100% more | ↑ 26.1% more |
| #29 |
Claude Mythos 5
Anthropic
|
$0.300000 | ↑ 100% more | ↑ 26.1% more |
| #30 |
GPT-5.5
OpenAI
|
$0.595000 (rounded ~ $0.60) | ↑ 296.7% more | ↑ 150% more |
| #31 |
GPT-6 Astra
OpenAI
|
$1.200000 | ↑ 700% more | ↑ 404.2% more |
| #32 |
GPT-6 Astra
OpenAI
|
$1.200000 | ↑ 700% more | ↑ 404.2% 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
For financial analysts building RAG systems to parse 10-K filings, the choice between Claude Opus 4.7 and Gemini 3.1 Pro often hinges on the trade-off between reasoning depth and multimodal throughput. Claude Opus 4.7 has established itself as a premier model for complex reasoning tasks, frequently outperforming peers in benchmarks assessing multi-step financial logic and adherence to precise output structures. When your RAG pipeline requires the model to synthesize contradictory data points across multiple 100-page filings or maintain a rigid schema, Claude’s performance is typically superior for maintaining consistency over long context windows.
Conversely, Gemini 3.1 Pro is often preferred in high-throughput pipelines where document intake includes significant amounts of visual data—such as complex infographics, handwritten margin notes in scanned PDFs, or dense financial tables that are notoriously difficult for text-only models to interpret. Because Gemini 3.1 Pro is natively multimodal, it can extract data from these visual elements without requiring a separate pre-processing layer, which can simplify infrastructure significantly.
For 50M-token monthly workloads, teams must decide if their primary challenge is reasoning or ingestion. If your pipeline involves deep thematic synthesis where the AI must “think” to reconcile different reporting periods, Claude is the standard. If your bottleneck is the sheer variety of document formats, charts, and diagrams within your earnings reports, Gemini’s integrated vision capabilities provide a more efficient end-to-end workflow, reducing the need for complex, fragmented pre-processing architectures.