Gemini 2.5 Pro
$715.00 / month- Input cost
- $365.00
- Output cost
- $350.00
- Per 1,000 calls
- $14.30
- Pricing profile
- standard / short context
Source-tracked model comparison
How much does Gemini 2.5 Pro cost compared with Gemini 2.5 Flash for RAG?
Compare verified pricing and model limits for quality-sensitive and routine Gemini requests. The cost example uses a rag question answering workload and does not assume equal model quality.
Direct cost answer: Gemini 2.5 Pro is estimated at $715.00 per month and Gemini 2.5 Flash at $175.10 for 8,000 input tokens, 700 output tokens, and 50,000 monthly requests. Gemini 2.5 Flash is $539.90 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 Pro | Gemini 2.5 Flash |
|---|---|---|
| Provider | ||
| API model ID | gemini-2.5-pro | gemini-2.5-flash |
| Input / 1M | $1.25 | $0.30 |
| Cached input / 1M | $0.125 | $0.03 |
| Output / 1M | $10.00 | $2.50 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 65,536 tokens | 65,536 tokens |
| Accepted input | text, image, video, audio, pdf | text, image, video, audio |
Example workload
RAG question answering cost scenario
8,000 input and 700 output tokens per request, 50,000 monthly requests, and 30% cached input.
Gemini 2.5 Flash
$175.10 / month- Input cost
- $87.60
- Output cost
- $87.50
- Per 1,000 calls
- $3.502
- Pricing profile
- standard / text
Cost result: Gemini 2.5 Flash is $539.90 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which queries need the Pro model in a measured evaluation?
- Does retrieved context cross a prompt-size pricing threshold?
- Can a router escalate only difficult questions?
What this estimate leaves out
The calculation covers tracked text-token rates only and does not include vector database, embedding, reranking, or storage charges.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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