Gemini 2.5 Flash
$218.00 / month- Input cost
- $93.00
- Output cost
- $125.00
- Per 1,000 calls
- $2.18
- Pricing profile
- standard / text
Source-tracked model comparison
When does Gemini 2.5 Flash-Lite cost less than Gemini 2.5 Flash?
Compare verified pricing and model limits for routing within the Gemini family. The cost example uses a structured data extraction workload and does not assume equal model quality.
Direct cost answer: Gemini 2.5 Flash is estimated at $218.00 per month and Gemini 2.5 Flash-Lite at $51.00 for 4,000 input tokens, 500 output tokens, and 100,000 monthly requests. Gemini 2.5 Flash-Lite is $167.00 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 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Provider | ||
| API model ID | gemini-2.5-flash | gemini-2.5-flash-lite |
| Input / 1M | $0.30 | $0.10 |
| Cached input / 1M | $0.03 | $0.01 |
| Output / 1M | $2.50 | $0.40 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 65,536 tokens | 65,536 tokens |
| Accepted input | text, image, video, audio | text, image, video, audio, pdf |
Example workload
Structured data extraction cost scenario
4,000 input and 500 output tokens per request, 100,000 monthly requests, and 25% cached input.
Gemini 2.5 Flash-Lite
$51.00 / month- Input cost
- $31.00
- Output cost
- $20.00
- Per 1,000 calls
- $0.51
- Pricing profile
- standard / text
Cost result: Gemini 2.5 Flash-Lite is $167.00 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which records need the higher-cost model?
- Can validation failures trigger selective escalation?
- Do modality or thinking-token rules affect the real workload?
What this estimate leaves out
Document parsing, OCR, validation infrastructure, and failed-record handling are outside this token estimate.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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