GPT-4o mini
$76.50 / month- Input cost
- $52.50
- Output cost
- $24.00
- Per 1,000 calls
- $0.153
- Pricing profile
- standard
Source-tracked model comparison
Which has lower API cost for high-volume routing: GPT-4o Mini or Gemini 2.5 Flash-Lite?
Compare verified pricing and model limits for low-cost, high-volume API routing. The cost example uses a classification and routing workload and does not assume equal model quality.
Direct cost answer: GPT-4o mini is estimated at $76.50 per month and Gemini 2.5 Flash-Lite at $51.00 for 700 input tokens, 80 output tokens, and 500,000 monthly requests. Gemini 2.5 Flash-Lite is $25.50 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 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Provider | OpenAI | |
| API model ID | gpt-4o-mini | gemini-2.5-flash-lite |
| Input / 1M | $0.15 | $0.10 |
| Cached input / 1M | $0.075 | $0.01 |
| Output / 1M | $0.60 | $0.40 |
| Context window | 128,000 tokens | 1,048,576 tokens |
| Maximum output | 16,384 tokens | 65,536 tokens |
| Accepted input | text, image | text, image, video, audio, pdf |
Example workload
Classification and routing cost scenario
700 input and 80 output tokens per request, 500,000 monthly requests, and 0% cached input.
Gemini 2.5 Flash-Lite
$51.00 / month- Input cost
- $35.00
- Output cost
- $16.00
- Per 1,000 calls
- $0.102
- Pricing profile
- standard / text
Cost result: Gemini 2.5 Flash-Lite is $25.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which provider already fits the deployment stack?
- Does the task need capabilities tracked for both models?
- How often will output exceed the short classification target?
What this estimate leaves out
Quality and latency are not assumed equal across models; validate labels on a representative evaluation set.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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