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 500,000 input tokens and 2,000 output tokens:
- Input Cost: $0.625000 (rounded ~ $0.63)
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $0.356250 (rounded ~ $0.36)
- Cost per 1K tokens: $0.000710
- Tokens per dollar: 1,409,123 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: 34 minutes, 26.10 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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💰 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 500,000 input tokens and 2,000 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.018000 (rounded ~ $0.02)
- Total Cost: $0.568000 (rounded ~ $0.57)
- Cost per 1K tokens: $0.001131
- Tokens per dollar: 883,803 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: 22 minutes, 23.03 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 374 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
|
$0.017938 (rounded ~ $0.02) Best Value | ↓ 95% cheaper | ↓ 96.8% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 93.9% cheaper | ↓ 96.1% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 93.9% cheaper | ↓ 96.1% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.053438 (rounded ~ $0.05) | ↓ 85% cheaper | ↓ 90.6% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.071750 (rounded ~ $0.07) | ↓ 79.9% cheaper | ↓ 87.4% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.106875 (rounded ~ $0.11) | ↓ 70% cheaper | ↓ 81.2% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.107625 (rounded ~ $0.11) | ↓ 69.8% cheaper | ↓ 81.1% cheaper |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.142500 (rounded ~ $0.14) | ↓ 60% cheaper | ↓ 74.9% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.143500 (rounded ~ $0.14) | ↓ 59.7% cheaper | ↓ 74.7% cheaper |
| #10 |
GPT-5.6 Terra
OpenAI
|
$0.179375 | ↓ 49.6% cheaper | ↓ 68.4% cheaper |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.213750 (rounded ~ $0.21) | ↓ 40% cheaper | ↓ 62.4% cheaper |
| #12 |
Claude Opus 5
Anthropic
|
$0.356250 (rounded ~ $0.36) | Same price | ↓ 37.3% cheaper |
| #13 |
Claude Opus 4.8
Anthropic
|
$0.356250 (rounded ~ $0.36) | Same price | ↓ 37.3% cheaper |
| #14 |
Claude Opus 4.6
Anthropic
|
$0.356250 (rounded ~ $0.36) | Same price | ↓ 37.3% cheaper |
| #15 |
Gemini 2.5 Pro
Google
|
$0.358750 (rounded ~ $0.36) | ↑ 0.7% more | ↓ 36.8% cheaper |
| #16 |
GPT-5.6 Sol
OpenAI
|
$0.358750 (rounded ~ $0.36) | ↑ 0.7% more | ↓ 36.8% cheaper |
| #17 |
Grok 4.3
xAI
|
$0.558000 (rounded ~ $0.56) | ↑ 56.6% more | ↓ 1.8% cheaper |
| #18 |
Grok 4.20 Beta
xAI
|
$0.558000 (rounded ~ $0.56) | ↑ 56.6% more | ↓ 1.8% cheaper |
| #19 |
Gemini 3.1 Pro
Google
|
$0.568000 (rounded ~ $0.57) | ↑ 59.4% more | Same price |
| #20 |
Claude Fable 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↑ 86.8% more | ↑ 17.2% more |
| #21 |
Claude Mythos 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↑ 86.8% more | ↑ 17.2% more |
| #22 |
GPT-5.4
OpenAI
|
$0.710000 | ↑ 99.3% more | ↑ 25% more |
| #23 |
GPT-5.4 Thinking
OpenAI
|
$0.710000 | ↑ 99.3% more | ↑ 25% more |
| #24 |
Claude Fable 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↑ 100% more | ↑ 25.4% more |
| #25 |
Claude Mythos 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↑ 100% more | ↑ 25.4% more |
| #26 |
GPT-5.5
OpenAI
|
$1.420000 | ↑ 298.6% more | ↑ 150% more |
| #27 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↑ 700% more | ↑ 401.8% more |
| #28 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↑ 700% more | ↑ 401.8% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
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
Gemini 2.5 Pro Google
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
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Optimizing Large-Scale Tutoring Pipelines
For EdTech platforms managing 100M+ tokens monthly, selecting the right model requires balancing reasoning depth against the need for massive context integration. Educational tutoring often involves complex, multi-modal session logs, lengthy student historical data, and nuanced curriculum mapping that demands high-fidelity output.
Claude Opus 4.7 stands out for its high-effort reasoning and precise instruction following. In one-on-one tutoring scenarios, its ability to maintain consistency over long-running sessions—handling everything from Socratic questioning techniques to detailed feedback loops—is unparalleled. It is particularly effective for pedagogical applications where the model must synthesize diverse source materials to tailor its approach to the individual learner’s pace.
Gemini 3.1 Pro offers a different strategic advantage. With its expansive context window and native multimodal capabilities, it excels at digesting entire academic semesters’ worth of transcripts, video lecture recordings, and student interaction history in a single pass. For platforms that rely heavily on asynchronous review of video-based tutoring or need to cross-reference vast document libraries, the ability to ingest these data types without complex chunking workflows is a major efficiency driver.
When planning your infrastructure, consider the specific tutoring modality. If your primary need is deep, logical, and highly personalized student interaction, the reasoning capabilities of Claude are often the primary selection criteria. If your platform focus is on data-heavy multimodal analysis or rapid synthesis of large student cohorts, the structural capacity of Gemini 3.1 Pro provides a more seamless architectural fit.