Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.093750 (rounded ~ $0.09)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.031250 (rounded ~ $0.03)
- Output Cost: $0.093750 (rounded ~ $0.09)
- Total Cost: $0.119375
- Cost per 1K tokens: $0.000149
- Tokens per dollar: 6,701,571 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 75ms time to first token:
- Processing Time: 16 minutes, 47.24 seconds
- Latency: 75 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.337500 (rounded ~ $0.34)
Output: $0.337500 (rounded ~ $0.34)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.093750 (rounded ~ $0.09)
- Output Cost: $0.337500 (rounded ~ $0.34)
- Total Cost: $0.414375 (rounded ~ $0.41)
- Cost per 1K tokens: $0.000518
- Tokens per dollar: 1,930,618 tokens
- Context Window: 400000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 180ms time to first token:
- Processing Time: 28 minutes, 32.18 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-5.4 mini. 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 Haiku 4.6| Rank | AI Model & Provider | Total Cost | vs Claude Haiku 4.6 | vs GPT-5.4 mini |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.138125 (rounded ~ $0.14) Best Value | ↑ 15.7% more | ↓ 66.7% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.218250 (rounded ~ $0.22) | ↑ 82.8% more | ↓ 47.3% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.218250 (rounded ~ $0.22) | ↑ 82.8% more | ↓ 47.3% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.358125 (rounded ~ $0.36) | ↑ 200% more | ↓ 13.6% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.552500 (rounded ~ $0.55) | ↑ 362.8% more | ↑ 33.3% more |
| #6 |
Gemini 3.6 Flash
Google
|
$0.716250 (rounded ~ $0.72) | ↑ 500% more | ↑ 72.9% more |
| #7 |
Gemini 3.5 Flash
Google
|
$0.828750 (rounded ~ $0.83) | ↑ 594.2% more | ↑ 100% more |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.955000 (rounded ~ $0.96) | ↑ 700% more | ↑ 130.5% more |
| #9 |
Gemini 3.1 Flash
Google
|
$1.105000 (rounded ~ $1.11) | ↑ 825.7% more | ↑ 166.7% more |
| #10 |
GPT-5.6 Terra
OpenAI
|
$1.381250 (rounded ~ $1.38) | ↑ 1057.1% more | ↑ 233.3% more |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$1.432500 (rounded ~ $1.43) | ↑ 1100% more | ↑ 245.7% more |
| #12 |
Grok 4.3
xAI
|
$2.020000 | ↑ 1592.1% more | ↑ 387.5% more |
| #13 |
Grok 4.20 Beta
xAI
|
$2.020000 | ↑ 1592.1% more | ↑ 387.5% more |
| #14 |
Claude Opus 4.7
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 476.2% more |
| #15 |
Claude Opus 5
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 476.2% more |
| #16 |
Claude Opus 4.8
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 476.2% more |
| #17 |
Claude Opus 4.6
Anthropic
|
$2.387500 (rounded ~ $2.39) | ↑ 1900% more | ↑ 476.2% more |
| #18 |
Gemini 2.5 Pro
Google
|
$2.762500 (rounded ~ $2.76) | ↑ 2214.1% more | ↑ 566.7% more |
| #19 |
GPT-5.6 Sol
OpenAI
|
$2.762500 (rounded ~ $2.76) | ↑ 2214.1% more | ↑ 566.7% more |
| #20 |
Gemini 3.1 Pro
Google
|
$3.520000 | ↑ 2848.7% more | ↑ 749.5% more |
| #21 |
GPT-5.4
OpenAI
|
$4.400000 | ↑ 3585.9% more | ↑ 961.8% more |
| #22 |
GPT-5.4 Thinking
OpenAI
|
$4.400000 | ↑ 3585.9% more | ↑ 961.8% more |
| #23 |
Claude Fable 5.1
Anthropic
|
$4.756250 (rounded ~ $4.76) | ↑ 3884.3% more | ↑ 1047.8% more |
| #24 |
Claude Mythos 5.1
Anthropic
|
$4.756250 (rounded ~ $4.76) | ↑ 3884.3% more | ↑ 1047.8% more |
| #25 |
Claude Fable 5
Anthropic
|
$4.775000 (rounded ~ $4.78) | ↑ 3900% more | ↑ 1052.3% more |
| #26 |
Claude Mythos 5
Anthropic
|
$4.775000 (rounded ~ $4.78) | ↑ 3900% more | ↑ 1052.3% more |
| #27 |
GPT-5.5
OpenAI
|
$8.800000 | ↑ 7271.7% more | ↑ 2023.7% more |
| #28 |
GPT-6 Astra
OpenAI
|
$19.100000 | ↑ 15900% more | ↑ 4509.4% more |
| #29 |
GPT-6 Astra
OpenAI
|
$19.100000 | ↑ 15900% more | ↑ 4509.4% 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
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
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
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
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 customer support leads managing high-volume email workflows, selecting the right model is less about raw intelligence and more about latency, reliability, and tone consistency. When drafting 500 personalized emails daily—requiring roughly 500,000 input tokens—you need an engine that balances speed with the nuance required for professional communication. Claude Haiku 4.6 and GPT-5.4 mini both position themselves as the primary contenders for this scale, yet they excel in different operational environments. Claude Haiku 4.6 is frequently praised for its human-like writing voice. It often requires less prompt engineering to avoid the ‘robotic’ tone that plagues automated email systems, making it a strong choice if your primary goal is maintaining brand warmth and empathy across diverse customer scenarios. Its ability to adhere to structured instructions makes it reliable for consistent email formatting. Conversely, GPT-5.4 mini offers a distinct advantage in tool-integration and architectural flexibility. If your email drafting pipeline is part of a larger, complex agentic workflow—where the model must call tools, search internal databases, or interact with other APIs before finalizing the text—GPT-5.4 mini often provides more robust support. Its ecosystem maturity means it plugs into existing development stacks with minimal friction. When deciding between the two, consider your infrastructure constraints. If you prioritize writing quality and natural language nuances for customer-facing support, Claude often wins. If you need a workhorse model that integrates deeply into a complex, multi-step automation pipeline, GPT-5.4 mini is likely the more efficient architectural fit.