GPT-5.4 mini OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.000900
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 350,000 input tokens and 800 output tokens:
- Input Cost: $0.065625 (rounded ~ $0.07)
- Output Cost: $0.000900
- Total Cost: $0.048806 (rounded ~ $0.05)
- Cost per 1K tokens: $0.000139
- Tokens per dollar: 7,187,604 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: 12 minutes, 30.89 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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← Back to GPT-5.4 mini| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.016269 (rounded ~ $0.02) Best Value | ↓ 66.7% cheaper |
| 🥈 |
Nemotron 3 Super
NVIDIA
|
$0.019327 | ↓ 60.4% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.019663 | ↓ 59.7% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.019663 | ↓ 59.7% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.048656 (rounded ~ $0.05) | ↓ 0.3% cheaper |
| #6 |
Claude Haiku 4.5
Anthropic
|
$0.064875 (rounded ~ $0.06) | ↑ 32.9% more |
| #7 |
GPT-5.6 Luna
OpenAI
|
$0.065075 (rounded ~ $0.07) | ↑ 33.3% more |
| #8 |
Gemini 3.6 Flash
Google
|
$0.097313 (rounded ~ $0.10) | ↑ 99.4% more |
| #9 |
Gemini 3.5 Flash
Google
|
$0.097613 (rounded ~ $0.10) | ↑ 100% more |
| #10 |
Claude Sonnet 5
Anthropic
|
$0.129750 | ↑ 165.8% more |
| #11 |
Gemini 3.1 Flash
Google
|
$0.130150 | ↑ 166.7% more |
| #12 |
GPT-5.6 Terra
OpenAI
|
$0.162688 (rounded ~ $0.16) | ↑ 233.3% more |
| #13 |
Claude Sonnet 4.6
Anthropic
|
$0.194625 (rounded ~ $0.19) | ↑ 298.8% more |
| #14 |
Claude Opus 4.7
Anthropic
|
$0.324375 (rounded ~ $0.32) | ↑ 564.6% more |
| #15 |
Claude Opus 5
Anthropic
|
$0.324375 (rounded ~ $0.32) | ↑ 564.6% more |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.324375 (rounded ~ $0.32) | ↑ 564.6% more |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.324375 (rounded ~ $0.32) | ↑ 564.6% more |
| #18 |
Gemini 2.5 Pro
Google
|
$0.325375 (rounded ~ $0.33) | ↑ 566.7% more |
| #19 |
GPT-5.5 Instant
OpenAI
|
$0.325375 (rounded ~ $0.33) | ↑ 566.7% more |
| #20 |
GPT-5.6 Sol
OpenAI
|
$0.325375 (rounded ~ $0.33) | ↑ 566.7% more |
| #21 |
Grok 4.3
xAI
|
$0.514200 (rounded ~ $0.51) | ↑ 953.6% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.514200 (rounded ~ $0.51) | ↑ 953.6% more |
| #23 |
Gemini 3.1 Pro
Google
|
$0.518200 (rounded ~ $0.52) | ↑ 961.7% more |
| #24 |
Claude Fable 5.1
Anthropic
|
$0.629063 | ↑ 1188.9% more |
| #25 |
Claude Mythos 5.1
Anthropic
|
$0.629063 | ↑ 1188.9% more |
| #26 |
GPT-5.4
OpenAI
|
$0.647750 (rounded ~ $0.65) | ↑ 1227.2% more |
| #27 |
GPT-5.4 Thinking
OpenAI
|
$0.647750 (rounded ~ $0.65) | ↑ 1227.2% more |
| #28 |
Claude Fable 5
Anthropic
|
$0.648750 (rounded ~ $0.65) | ↑ 1229.2% more |
| #29 |
Claude Mythos 5
Anthropic
|
$0.648750 (rounded ~ $0.65) | ↑ 1229.2% more |
| #30 |
GPT-5.5
OpenAI
|
$1.295500 (rounded ~ $1.30) | ↑ 2554.4% more |
| #31 |
GPT-6 Astra
OpenAI
|
$2.595000 (rounded ~ $2.60) | ↑ 5216.9% more |
| #32 |
GPT-6 Astra
OpenAI
|
$2.595000 (rounded ~ $2.60) | ↑ 5216.9% more |
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Claude Haiku 4.5 Anthropic
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-5.5 Instant OpenAI
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
As e-commerce operations scale, the cost of generating product descriptions can quickly become a significant overhead. For store owners looking to optimize their margins without sacrificing basic SEO requirements, GPT-5.4 mini has emerged as a go-to solution. It provides a strategic balance for standard, routine content tasks where the complexity of the output is lower, but the requirement for reliability and speed is constant.
GPT-5.4 mini is specifically engineered for high-volume, straightforward reasoning tasks. Unlike frontier-tier models that may be overkill for generating standard product specs, tags, or SEO metadata, this model is lean. It manages to deliver functional, high-quality descriptions that meet search engine requirements while operating at an efficiency level that keeps API bills manageable. It is particularly effective for businesses that rely on template-based descriptions or need to process large, repetitive batches of inventory data.
When planning a 350K-token run, the value proposition is clear: you are paying for the performance you actually need rather than the intelligence headroom you don’t. By leveraging GPT-5.4 mini for these baseline tasks, you can allocate your larger budget toward high-impact marketing copy or complex brand storytelling that actually requires the reasoning depth of frontier-class models. For the typical indie hacker or small-to-mid-sized store owner, this model represents the sweet spot between operational sustainability and production-ready output quality.