GPT-5.4 mini OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.005625 (rounded ~ $0.01)
Output: $0.005625 (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 5,000 output tokens:
- Input Cost: $0.093750 (rounded ~ $0.09)
- Output Cost: $0.005625 (rounded ~ $0.01)
- Total Cost: $0.082500 (rounded ~ $0.08)
- Cost per 1K tokens: $0.000163
- Tokens per dollar: 6,121,212 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: 18 minutes, 0.88 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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💰 Total Cost Calculation (from Plugin)
Output: $0.001563
Output: $0.001563
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 5,000 output tokens:
- Input Cost: $0.031250 (rounded ~ $0.03)
- Output Cost: $0.001563
- Total Cost: $0.027188 (rounded ~ $0.03)
- Cost per 1K tokens: $0.000054
- Tokens per dollar: 18,574,713 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: 10 minutes, 35.89 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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This calculator shows the math for Claude Haiku 4.6. 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 GPT-5.4 mini| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini | vs Claude Haiku 4.6 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.027500 (rounded ~ $0.03) Best Value | ↓ 66.7% cheaper | ↑ 1.1% more |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.033875 (rounded ~ $0.03) | ↓ 58.9% cheaper | ↑ 24.6% more |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.033875 (rounded ~ $0.03) | ↓ 58.9% cheaper | ↑ 24.6% more |
| #4 |
Gemini 3.8 Flash
Google
|
$0.081563 (rounded ~ $0.08) | ↓ 1.1% cheaper | ↑ 200% more |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.110000 | ↑ 33.3% more | ↑ 304.6% more |
| #6 |
Gemini 3.6 Flash
Google
|
$0.163125 (rounded ~ $0.16) | ↑ 97.7% more | ↑ 500% more |
| #7 |
Gemini 3.5 Flash
Google
|
$0.165000 (rounded ~ $0.17) | ↑ 100% more | ↑ 506.9% more |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.217500 (rounded ~ $0.22) | ↑ 163.6% more | ↑ 700% more |
| #9 |
Gemini 3.1 Flash
Google
|
$0.220000 | ↑ 166.7% more | ↑ 709.2% more |
| #10 |
GPT-5.6 Terra
OpenAI
|
$0.275000 (rounded ~ $0.28) | ↑ 233.3% more | ↑ 911.5% more |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.326250 (rounded ~ $0.33) | ↑ 295.5% more | ↑ 1100% more |
| #12 |
Claude Opus 4.7
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 559.1% more | ↑ 1900% more |
| #13 |
Claude Opus 5
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 559.1% more | ↑ 1900% more |
| #14 |
Claude Opus 4.8
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 559.1% more | ↑ 1900% more |
| #15 |
Claude Opus 4.6
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 559.1% more | ↑ 1900% more |
| #16 |
Gemini 2.5 Pro
Google
|
$0.550000 | ↑ 566.7% more | ↑ 1923% more |
| #17 |
GPT-5.6 Sol
OpenAI
|
$0.550000 | ↑ 566.7% more | ↑ 1923% more |
| #18 |
Grok 4.3
xAI
|
$0.840000 | ↑ 918.2% more | ↑ 2989.7% more |
| #19 |
Grok 4.20 Beta
xAI
|
$0.840000 | ↑ 918.2% more | ↑ 2989.7% more |
| #20 |
Gemini 3.1 Pro
Google
|
$0.865000 (rounded ~ $0.87) | ↑ 948.5% more | ↑ 3081.6% more |
| #21 |
Claude Fable 5.1
Anthropic
|
$1.068750 (rounded ~ $1.07) | ↑ 1195.5% more | ↑ 3831% more |
| #22 |
Claude Mythos 5.1
Anthropic
|
$1.068750 (rounded ~ $1.07) | ↑ 1195.5% more | ↑ 3831% more |
| #23 |
GPT-5.4
OpenAI
|
$1.081250 (rounded ~ $1.08) | ↑ 1210.6% more | ↑ 3877% more |
| #24 |
GPT-5.4 Thinking
OpenAI
|
$1.081250 (rounded ~ $1.08) | ↑ 1210.6% more | ↑ 3877% more |
| #25 |
Claude Fable 5
Anthropic
|
$1.087500 (rounded ~ $1.09) | ↑ 1218.2% more | ↑ 3900% more |
| #26 |
Claude Mythos 5
Anthropic
|
$1.087500 (rounded ~ $1.09) | ↑ 1218.2% more | ↑ 3900% more |
| #27 |
GPT-5.5
OpenAI
|
$2.162500 (rounded ~ $2.16) | ↑ 2521.2% more | ↑ 7854% more |
| #28 |
GPT-6 Astra
OpenAI
|
$4.350000 | ↑ 5172.7% more | ↑ 15900% more |
| #29 |
GPT-6 Astra
OpenAI
|
$4.350000 | ↑ 5172.7% more | ↑ 15900% 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 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 multiple brand accounts, A/B testing 20 variations per campaign is standard practice to optimize conversion rates [1.1.3]. Scaling this volume requires models that balance creative nuance with instruction-following reliability. When processing 500,000 tokens for batch experimentation, the choice often comes down to model temperament and structured output capabilities.
GPT-5.4 mini has emerged as a strong contender for structured tasks. It excels at following precise formatting constraints—essential when you need to generate 20 consistent variations for a campaign without breaking your deployment schema. It is often described as more “innovative” in its suggestion generation, making it effective for brainstorming divergent angles during the initial hypothesis phase.
Claude Haiku 4.6, conversely, is favored for its adherence to brand tone and ability to maintain narrative consistency across high-volume outputs. If your A/B tests rely on subtle adjustments to brand voice rather than just structural changes, Haiku’s ability to avoid repetitive or muted emotional responses provides a distinct advantage.
For most social media managers, the decision hinges on the goal of the test. If you prioritize strict adherence to your existing copy framework and JSON-like structural requirements, GPT-5.4 mini is the logical choice. If your priority is creative variety while maintaining a consistent emotional resonance across diverse audiences, Claude Haiku 4.6 offers a more polished result. Both models are optimized for high-speed, cost-efficient processing, making them suitable for the iterative nature of modern A/B testing pipelines.