Gemini 2.5 Flash-Lite
$52.38 / month- Input cost
- $27.38
- Output cost
- $25.00
- Per 1,000 calls
- $0.2095
- Pricing profile
- standard / text
Source-tracked model comparison
GPT-5.4 Nano vs Gemini 2.5 Flash-Lite: which has lower support-triage API cost?
Compare verified pricing and model limits for lowest-cost model routing for support triage. The cost example uses a support ticket triage workload and does not assume equal model quality.
Direct cost answer: Gemini 2.5 Flash-Lite is estimated at $52.38 per month and gpt-5.4-nano at $132.88 for 1,500 input tokens, 250 output tokens, and 250,000 monthly requests. Gemini 2.5 Flash-Lite is $80.50 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 | Gemini 2.5 Flash-Lite | gpt-5.4-nano |
|---|---|---|
| Provider | OpenAI | |
| API model ID | gemini-2.5-flash-lite | gpt-5.4-nano |
| Input / 1M | $0.10 | $0.20 |
| Cached input / 1M | $0.01 | $0.02 |
| Output / 1M | $0.40 | $1.25 |
| Context window | 1,048,576 tokens | 400,000 tokens |
| Maximum output | 65,536 tokens | 128,000 tokens |
| Accepted input | text, image, video, audio, pdf | text, image |
Example workload
Support ticket triage cost scenario
1,500 input and 250 output tokens per request, 250,000 monthly requests, and 30% cached input.
gpt-5.4-nano
$132.88 / month- Input cost
- $54.75
- Output cost
- $78.13
- Per 1,000 calls
- $0.5315
- Pricing profile
- standard / short context
Cost result: Gemini 2.5 Flash-Lite is $80.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which model meets the triage accuracy requirement?
- What percentage of tickets needs escalation?
- Do provider availability requirements rule out either option?
What this estimate leaves out
This estimate covers generation tokens only and does not assume equal routing accuracy between models.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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