Claude Sonnet 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.005000 (rounded ~ $0.01)
Output: $0.005000 (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: $0.250000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.142500 (rounded ~ $0.14)
- Cost per 1K tokens: $0.000284
- Tokens per dollar: 3,522,807 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 460 tokens per second and 195ms time to first token:
- Processing Time: 19 minutes, 27.88 seconds
- Latency: 195 milliseconds to first token
- Base Throughput: 460 tokens/second
- Effective Throughput: 430 tokens/second (temperature-adjusted)
Best Use Cases
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Get my instant AI audit — $39 →GPT-5.4 OpenAI 1024000 🏔️ Context Cliff
💰 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 2,000 output tokens:
- Input Cost: $1.250000
- Output Cost: $0.022500 (rounded ~ $0.02)
- Total Cost: $0.710000
- Cost per 1K tokens: $0.001414
- Tokens per dollar: 707,042 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 21 minutes, 19.08 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 393 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-5.4. 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 Sonnet 5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5 | vs GPT-5.4 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.017938 (rounded ~ $0.02) Best Value | ↓ 87.4% cheaper | ↓ 97.5% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 84.6% cheaper | ↓ 96.9% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 84.6% cheaper | ↓ 96.9% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.053438 (rounded ~ $0.05) | ↓ 62.5% cheaper | ↓ 92.5% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.071750 (rounded ~ $0.07) | ↓ 49.6% cheaper | ↓ 89.9% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.106875 (rounded ~ $0.11) | ↓ 25% cheaper | ↓ 84.9% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.107625 (rounded ~ $0.11) | ↓ 24.5% cheaper | ↓ 84.8% cheaper |
| #8 |
Gemini 3.1 Flash
Google
|
$0.143500 (rounded ~ $0.14) | ↑ 0.7% more | ↓ 79.8% cheaper |
| #9 |
GPT-5.6 Terra
OpenAI
|
$0.179375 | ↑ 25.9% more | ↓ 74.7% cheaper |
| #10 |
Claude Sonnet 4.6
Anthropic
|
$0.213750 (rounded ~ $0.21) | ↑ 50% more | ↓ 69.9% cheaper |
| #11 |
Claude Opus 4.7
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 150% more | ↓ 49.8% cheaper |
| #12 |
Claude Opus 5
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 150% more | ↓ 49.8% cheaper |
| #13 |
Claude Opus 4.8
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 150% more | ↓ 49.8% cheaper |
| #14 |
Claude Opus 4.6
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 150% more | ↓ 49.8% cheaper |
| #15 |
Gemini 2.5 Pro
Google
|
$0.358750 (rounded ~ $0.36) | ↑ 151.8% more | ↓ 49.5% cheaper |
| #16 |
GPT-5.6 Sol
OpenAI
|
$0.358750 (rounded ~ $0.36) | ↑ 151.8% more | ↓ 49.5% cheaper |
| #17 |
Grok 4.3
xAI
|
$0.558000 (rounded ~ $0.56) | ↑ 291.6% more | ↓ 21.4% cheaper |
| #18 |
Grok 4.20 Beta
xAI
|
$0.558000 (rounded ~ $0.56) | ↑ 291.6% more | ↓ 21.4% cheaper |
| #19 |
Gemini 3.1 Pro
Google
|
$0.568000 (rounded ~ $0.57) | ↑ 298.6% more | ↓ 20% cheaper |
| #20 |
Claude Fable 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↑ 367.1% more | ↓ 6.2% cheaper |
| #21 |
Claude Mythos 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↑ 367.1% more | ↓ 6.2% cheaper |
| #22 |
GPT-5.4
OpenAI
|
$0.710000 | ↑ 398.2% more | Same price |
| #23 |
GPT-5.4 Thinking
OpenAI
|
$0.710000 | ↑ 398.2% more | Same price |
| #24 |
Claude Fable 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↑ 400% more | ↑ 0.4% more |
| #25 |
Claude Mythos 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↑ 400% more | ↑ 0.4% more |
| #26 |
GPT-5.5
OpenAI
|
$1.420000 | ↑ 896.5% more | ↑ 100% more |
| #27 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↑ 1900% more | ↑ 301.4% more |
| #28 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↑ 1900% more | ↑ 301.4% 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
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 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
For marketing teams managing high-volume A/B testing, the choice between Claude Sonnet 5 and GPT-5.4 often comes down to the specific nature of the copy. Claude Sonnet 5 is frequently preferred for its ability to maintain consistent brand voice over long context windows, which is essential when testing dozens of campaign variations that must remain aligned with a single brand style guide. It excels at generating nuanced, human-like copy that feels less ‘formulaic’ than earlier iterations.
GPT-5.4, by contrast, shines in its reasoning capabilities. If your A/B testing workflow involves complex logical dependencies—such as dynamically adjusting copy based on performance data from previous iterations or cross-referencing multi-file briefs—GPT-5.4’s ability to plan and execute multi-step agentic tasks is a significant advantage. It is particularly effective for teams that need to generate variations that are not just linguistically different but structurally optimized for specific conversion funnels.
Ultimately, if your primary goal is creative linguistic diversity, Claude Sonnet 5 offers a refined, ‘less robotic’ output. If your workflow requires the model to act as a logical analyst that iterates based on complex, multi-variable constraints, GPT-5.4 provides the stronger agentic framework. For a 500K-token batch, testing both on a small subset of your campaign is the best way to determine which model’s reasoning style aligns better with your specific conversion goals.