GPT-4o mini
$78.75 / month- Input cost
- $33.75
- Output cost
- $45.00
- Per 1,000 calls
- $1.575
- Pricing profile
- standard
Source-tracked model comparison
GPT-5.4 Mini vs GPT-4o Mini: what changes in API cost for developer assistance?
Compare verified pricing and model limits for moving a compact OpenAI workload from GPT-4o Mini to GPT-5.4 Mini. The cost example uses a developer assistant backend workload and does not assume equal model quality.
Direct cost answer: GPT-4o mini is estimated at $78.75 per month and gpt-5.4-mini at $491.25 for 5,000 input tokens, 1,500 output tokens, and 50,000 monthly requests. GPT-4o mini is $412.50 lower under these assumptions. This does not identify a quality winner.
Tracked facts
Pricing and model limits
Prices are USD per 1M tokens under each model's verified default profile.
| Field | GPT-4o mini | gpt-5.4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| API model ID | gpt-4o-mini | gpt-5.4-mini |
| Input / 1M | $0.15 | $0.75 |
| Cached input / 1M | $0.075 | $0.075 |
| Output / 1M | $0.60 | $4.50 |
| Context window | 128,000 tokens | 400,000 tokens |
| Maximum output | 16,384 tokens | 128,000 tokens |
| Accepted input | text, image | text, image |
Example workload
Developer assistant backend cost scenario
5,000 input and 1,500 output tokens per request, 50,000 monthly requests, and 20% cached input.
gpt-5.4-mini
$491.25 / month- Input cost
- $153.75
- Output cost
- $337.50
- Per 1,000 calls
- $9.825
- Pricing profile
- standard / short context
Cost result: GPT-4o mini is $412.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Does GPT-5.4 Mini reduce retries on the target coding tasks?
- Which existing GPT-4o Mini prompts require migration changes?
- Does the measured quality change justify the tracked price difference?
What this estimate leaves out
The calculation does not compare coding quality and excludes indexing, execution sandboxes, and repository storage.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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