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 400,000 input tokens and 5,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.005625 (rounded ~ $0.01)
- Total Cost: $0.067125 (rounded ~ $0.07)
- Cost per 1K tokens: $0.000166
- Tokens per dollar: 6,033,520 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: 14 minutes, 26.88 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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← Back to GPT-5.4 mini| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.022375 (rounded ~ $0.02) Best Value | ↓ 66.7% cheaper |
| 🥈 |
Nemotron 3 Super
NVIDIA
|
$0.025625 (rounded ~ $0.03) | ↓ 61.8% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.027725 (rounded ~ $0.03) | ↓ 58.7% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.027725 (rounded ~ $0.03) | ↓ 58.7% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.066188 (rounded ~ $0.07) | ↓ 1.4% cheaper |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.089500 | ↑ 33.3% more |
| #7 |
Gemini 3.6 Flash
Google
|
$0.132375 (rounded ~ $0.13) | ↑ 97.2% more |
| #8 |
Gemini 3.5 Flash
Google
|
$0.134250 (rounded ~ $0.13) | ↑ 100% more |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.176500 (rounded ~ $0.18) | ↑ 162.9% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.179000 | ↑ 166.7% more |
| #11 |
GPT-5.6 Terra
OpenAI
|
$0.223750 (rounded ~ $0.22) | ↑ 233.3% more |
| #12 |
Claude Sonnet 4.6
Anthropic
|
$0.264750 (rounded ~ $0.26) | ↑ 294.4% more |
| #13 |
Claude Opus 4.7
Anthropic
|
$0.441250 (rounded ~ $0.44) | ↑ 557.4% more |
| #14 |
Claude Opus 5
Anthropic
|
$0.441250 (rounded ~ $0.44) | ↑ 557.4% more |
| #15 |
Claude Opus 4.8
Anthropic
|
$0.441250 (rounded ~ $0.44) | ↑ 557.4% more |
| #16 |
Claude Opus 4.6
Anthropic
|
$0.441250 (rounded ~ $0.44) | ↑ 557.4% more |
| #17 |
Gemini 2.5 Pro
Google
|
$0.447500 (rounded ~ $0.45) | ↑ 566.7% more |
| #18 |
GPT-5.6 Sol
OpenAI
|
$0.447500 (rounded ~ $0.45) | ↑ 566.7% more |
| #19 |
Grok 4.3
xAI
|
$0.676000 (rounded ~ $0.68) | ↑ 907.1% more |
| #20 |
Grok 4.20 Beta
xAI
|
$0.676000 (rounded ~ $0.68) | ↑ 907.1% more |
| #21 |
Gemini 3.1 Pro
Google
|
$0.701000 (rounded ~ $0.70) | ↑ 944.3% more |
| #22 |
Claude Fable 5.1
Anthropic
|
$0.867500 (rounded ~ $0.87) | ↑ 1192.4% more |
| #23 |
Claude Mythos 5.1
Anthropic
|
$0.867500 (rounded ~ $0.87) | ↑ 1192.4% more |
| #24 |
GPT-5.4
OpenAI
|
$0.876250 (rounded ~ $0.88) | ↑ 1205.4% more |
| #25 |
GPT-5.4 Thinking
OpenAI
|
$0.876250 (rounded ~ $0.88) | ↑ 1205.4% more |
| #26 |
Claude Fable 5
Anthropic
|
$0.882500 (rounded ~ $0.88) | ↑ 1214.7% more |
| #27 |
Claude Mythos 5
Anthropic
|
$0.882500 (rounded ~ $0.88) | ↑ 1214.7% more |
| #28 |
GPT-5.5
OpenAI
|
$1.752500 (rounded ~ $1.75) | ↑ 2510.8% more |
| #29 |
GPT-6 Astra
OpenAI
|
$3.530000 | ↑ 5158.8% more |
| #30 |
GPT-6 Astra
OpenAI
|
$3.530000 | ↑ 5158.8% 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
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
Optimizing Script Production at Scale
For mobile app developers focused on high-volume video script production, GPT-5.4 mini provides a compelling balance of cost and capability. When managing workflows involving thousands of long-form scripts, efficiency is paramount. This model is engineered to handle substantial token volumes while maintaining the structured reasoning necessary for compelling narrative generation.
The primary advantage here is the model’s throughput. By utilizing a optimized parameter set, it delivers consistent creative outputs without the overhead associated with larger, more complex models. This makes it an ideal workhorse for automating the initial drafting phases of video production pipelines where rapid iteration is more valuable than complex, multi-step problem solving.
Developers should consider this model for use cases where the script structure is standardized and the primary goal is scaling production. Its performance characteristics are well-suited for repetitive tasks that require a steady, reliable output quality. By focusing on script-to-script consistency and prompt adherence, developers can ensure that the generated content aligns with their brand voice while significantly reducing the per-request expenditure. Integration is straightforward, allowing for seamless deployment within existing mobile backend architectures.