Gemini 3.6 Flash
$242.25 / month- Input cost
- $204.75
- Output cost
- $37.50
- Per 1,000 calls
- $121.13
- Pricing profile
- standard
Source-tracked model comparison
Gemini 3.6 Flash vs Gemini 3.7 Flash: what changes for an existing API workload?
Compare verified pricing and model limits for migration within the Gemini 3 Flash series. The cost example uses a long-context research workload and does not assume equal model quality.
Direct cost answer: Gemini 3.6 Flash is estimated at $242.25 per month and Gemini 3.7 Flash at $242.25 for 150,000 input tokens, 5,000 output tokens, and 2,000 monthly requests. Gemini 3.6 Flash is $0.00 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 3.6 Flash | Gemini 3.7 Flash |
|---|---|---|
| API access provider | ||
| API model ID | gemini-3.6-flash | gemini-3.7-flash |
| Input / 1M | $0.75 | $0.75 |
| Cached input / 1M | $0.075 | $0.075 |
| Output / 1M | $3.75 | $3.75 |
| 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 |
Example workload
Long-context research cost scenario
150,000 input and 5,000 output tokens per request, 2,000 monthly requests, and 10% cached input.
Gemini 3.7 Flash
$242.25 / month- Input cost
- $204.75
- Output cost
- $37.50
- Per 1,000 calls
- $121.13
- Pricing profile
- standard
Cost result: Gemini 3.6 Flash is $0.00 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Does Gemini 3.7 Flash improve the target workflow enough to migrate?
- Are the current token rates identical for this workload?
- What regression tests are needed before changing endpoints?
What this estimate leaves out
Models whose tracked context window is below the scenario input are excluded from the compatible-model table.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.