GPT-5.4 mini OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.000225
Output: $0.000225
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 200 output tokens:
- Input Cost: $0.018750 (rounded ~ $0.02)
- Output Cost: $0.000225
- Total Cost: $0.010538
- Cost per 1K tokens: $0.000105
- Tokens per dollar: 9,508,897 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: 3 minutes, 34.61 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 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001390 Best Value | ↓ 86.8% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.002825 | ↓ 73.2% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.003513 | ↓ 66.7% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.004250 | ↓ 59.7% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.006950 (rounded ~ $0.01) | ↓ 34% cheaper |
| #6 |
o4-mini Deep Research
OpenAI
|
$0.013950 (rounded ~ $0.01) | ↑ 32.4% more |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.014000 (rounded ~ $0.01) | ↑ 32.9% more |
| #8 |
Gemini 3.1 Flash
Google
|
$0.014050 (rounded ~ $0.01) | ↑ 33.3% more |
| #9 |
o4-mini
OpenAI
|
$0.015345 (rounded ~ $0.02) | ↑ 45.6% more |
| #10 |
Grok 4.3
xAI
|
$0.017313 (rounded ~ $0.02) | ↑ 64.3% more |
| #11 |
Gemini 3.5 Flash
Google
|
$0.021075 (rounded ~ $0.02) | ↑ 100% more |
| #12 |
GPT-5.3 Codex Spark
OpenAI
|
$0.024763 (rounded ~ $0.02) | ↑ 135% more |
| #13 |
GPT-5.3 Instant
OpenAI
|
$0.024763 (rounded ~ $0.02) | ↑ 135% more |
| #14 |
Grok 4.20 Beta
xAI
|
$0.027800 (rounded ~ $0.03) | ↑ 163.8% more |
| #15 |
Gemini 2.5 Pro
Google
|
$0.035375 (rounded ~ $0.04) | ↑ 235.7% more |
| #16 |
Claude Sonnet 4.6
Anthropic
|
$0.042000 (rounded ~ $0.04) | ↑ 298.6% more |
| #17 |
Gemini 3.1 Pro
Google
|
$0.056200 (rounded ~ $0.06) | ↑ 433.3% more |
| #18 |
Claude Opus 4.7
Anthropic
|
$0.070000 | ↑ 564.3% more |
| #19 |
Claude Opus 4.8
Anthropic
|
$0.070000 | ↑ 564.3% more |
| #20 |
Claude Opus 4.6
Anthropic
|
$0.070000 | ↑ 564.3% more |
| #21 |
GPT-5.4
OpenAI
|
$0.070250 | ↑ 566.7% more |
| #22 |
GPT-5.4 Thinking
OpenAI
|
$0.070250 | ↑ 566.7% more |
| #23 |
GPT-5.5 Instant
OpenAI
|
$0.070250 | ↑ 566.7% more |
| #24 |
o3 Deep Research
OpenAI
|
$0.139500 | ↑ 1223.8% more |
| #25 |
GPT-5.5
OpenAI
|
$0.140500 | ↑ 1233.3% more |
| #26 |
o3 Pro
OpenAI
|
$0.279000 (rounded ~ $0.28) | ↑ 2547.7% more |
| #27 |
GPT-5.2 Pro
OpenAI
|
$0.297150 (rounded ~ $0.30) | ↑ 2719.9% more |
| #28 |
GPT-5.2 Pro
OpenAI
|
$0.297150 (rounded ~ $0.30) | ↑ 2719.9% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
For teams managing 10,000 monthly invoice extractions, balancing cost and reasoning capability is paramount. GPT-5.4 mini has emerged as the premier choice for this mid-market workload. Its 400K context window provides ample space for analyzing large, multi-page invoices in a single pass, which is a major efficiency improvement over older models that required chunking documents into smaller segments.
GPT-5.4 mini brings many of the frontier capabilities of the larger GPT-5.4 family into a faster, more efficient package. For data extraction, this means better handling of ambiguous fields and complex table structures that often trip up cheaper, smaller models. Its ability to perform function calling and output structured JSON is highly reliable, which is essential for ensuring that extracted invoice data integrates seamlessly into your accounting ERP or database systems.
Beyond cost, the decision to use GPT-5.4 mini is driven by speed and the reduced need for complex engineering workarounds. Because the model is optimized for high-volume API workloads, you spend less engineering time on latency optimization and retries. If your workflow involves agentic steps—such as automatically flagging invoices with missing data or performing validation checks against existing purchase orders—GPT-5.4 mini’s improved reasoning makes it a versatile tool that can handle more than just simple OCR tasks. It is the most robust option for teams that need consistent performance at scale without the premium price of a reasoning-heavy flagship model.