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: $0.070000
- Cost per 1K tokens: $0.000686
- Tokens per dollar: 1,457,143 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, 59.95 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: $0.180000
Output: $0.180000
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: $1.500000
- Output Cost: $0.180000
- Total Cost: $0.870000
- Cost per 1K tokens: $0.008529 (rounded ~ $0.01)
- Tokens per dollar: 117,241 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 250ms time to first token:
- Processing Time: 5 minutes, 12.01 seconds
- Latency: 250 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 327 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 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 GPT-5.4 Pro |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001300 Best Value | ↓ 98.1% cheaper | ↓ 99.9% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.003625 | ↓ 94.8% cheaper | ↓ 99.6% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.004700 | ↓ 93.3% cheaper | ↓ 99.5% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.004700 | ↓ 93.3% cheaper | ↓ 99.5% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.006500 (rounded ~ $0.01) | ↓ 90.7% cheaper | ↓ 99.3% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.010500 | ↓ 85% cheaper | ↓ 98.8% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.010875 | ↓ 84.5% cheaper | ↓ 98.8% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.013500 (rounded ~ $0.01) | ↓ 80.7% cheaper | ↓ 98.4% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.014000 (rounded ~ $0.01) | ↓ 80% cheaper | ↓ 98.4% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.014500 (rounded ~ $0.01) | ↓ 79.3% cheaper | ↓ 98.3% cheaper |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.014500 (rounded ~ $0.01) | ↓ 79.3% cheaper | ↓ 98.3% cheaper |
| #12 |
o4-mini
OpenAI
|
$0.014850 (rounded ~ $0.01) | ↓ 78.8% cheaper | ↓ 98.3% cheaper |
| #13 |
Gemini 3.6 Flash
Google
|
$0.021000 (rounded ~ $0.02) | ↓ 70% cheaper | ↓ 97.6% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$0.021750 (rounded ~ $0.02) | ↓ 68.9% cheaper | ↓ 97.5% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.027125 (rounded ~ $0.03) | ↓ 61.3% cheaper | ↓ 96.9% cheaper |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.027125 (rounded ~ $0.03) | ↓ 61.3% cheaper | ↓ 96.9% cheaper |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.028000 (rounded ~ $0.03) | ↓ 60% cheaper | ↓ 96.8% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.036250 (rounded ~ $0.04) | ↓ 48.2% cheaper | ↓ 95.8% cheaper |
| #19 |
Gemini 2.5 Pro
Google
|
$0.038750 (rounded ~ $0.04) | ↓ 44.6% cheaper | ↓ 95.5% cheaper |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.042000 (rounded ~ $0.04) | ↓ 40% cheaper | ↓ 95.2% cheaper |
| #21 |
Grok 4.3
xAI
|
$0.050000 | ↓ 28.6% cheaper | ↓ 94.3% cheaper |
| #22 |
Grok 4.20 Beta
xAI
|
$0.050000 | ↓ 28.6% cheaper | ↓ 94.3% cheaper |
| #23 |
Gemini 3.1 Pro
Google
|
$0.058000 (rounded ~ $0.06) | ↓ 17.1% cheaper | ↓ 93.3% cheaper |
| #24 |
Claude Opus 5
Anthropic
|
$0.070000 | Same price | ↓ 92% cheaper |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.070000 | Same price | ↓ 92% cheaper |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.070000 | Same price | ↓ 92% cheaper |
| #27 |
GPT-5.4
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 3.6% more | ↓ 91.7% cheaper |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 3.6% more | ↓ 91.7% cheaper |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 3.6% more | ↓ 91.7% cheaper |
| #30 |
GPT-5.6 Sol
OpenAI
|
$0.072500 (rounded ~ $0.07) | ↑ 3.6% more | ↓ 91.7% cheaper |
| #31 |
Claude Fable 5.1
Anthropic
|
$0.128750 (rounded ~ $0.13) | ↑ 83.9% more | ↓ 85.2% cheaper |
| #32 |
Claude Mythos 5.1
Anthropic
|
$0.128750 (rounded ~ $0.13) | ↑ 83.9% more | ↓ 85.2% cheaper |
| #33 |
o3 Deep Research
OpenAI
|
$0.135000 (rounded ~ $0.14) | ↑ 92.9% more | ↓ 84.5% cheaper |
| #34 |
Claude Fable 5
Anthropic
|
$0.140000 | ↑ 100% more | ↓ 83.9% cheaper |
| #35 |
Claude Mythos 5
Anthropic
|
$0.140000 | ↑ 100% more | ↓ 83.9% cheaper |
| #36 |
GPT-5.5
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↑ 107.1% more | ↓ 83.3% cheaper |
| #37 |
o3 Pro
OpenAI
|
$0.270000 | ↑ 285.7% more | ↓ 69% cheaper |
| #38 |
GPT-6 Astra
OpenAI
|
$0.280000 | ↑ 300% more | ↓ 67.8% cheaper |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.325500 (rounded ~ $0.33) | ↑ 365% more | ↓ 62.6% cheaper |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.325500 (rounded ~ $0.33) | ↑ 365% more | ↓ 62.6% cheaper |
Mistral Small 3 Mistral AI
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
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
For a AAA game studio managing global marketing campaigns, the bottleneck in A/B testing isn’t just volume—it’s maintaining the brand’s unique narrative voice across thousands of variations. When scaling to 100M tokens monthly, the choice between Claude Opus 4.7 and GPT-5.4 Pro often comes down to the specific nature of your copy optimization.
Claude Opus 4.7 has emerged as a powerhouse for creative nuance. It excels at preserving the subtle, stylistic traits of specific character archetypes, making it the preferred choice when your A/B testing requires strict adherence to distinct brand voices or narrative personas. Its ability to handle complex creative constraints without sounding “robotic” makes it ideal for generating 20+ variations of a single campaign hook that all still feel authentically human and on-brand.
GPT-5.4 Pro, conversely, shines in agentic, data-heavy pipelines. If your marketing automation involves integrating real-time performance data—such as click-through rates or conversion metrics—back into your prompt chain, GPT-5.4 Pro’s advanced reasoning and tool-use capabilities are superior. It is designed to act as a digital coworker that can not only generate copy but analyze why a specific variant is underperforming compared to others, facilitating a self-improving loop.
For enterprise architects, the decision pivots on whether you prioritize stylistic creative fidelity (Claude) or data-driven optimization efficiency (GPT). Both models handle large-scale, high-concurrency requests effectively, but their architectural strengths define the ultimate ROI of your marketing automation pipeline.