gemini-3.5-transcribe
Gemini(Google) • API Price Comparison
gemini-3.5-transcribe is a large language model by Gemini(Google) with a 1M-token context window. Across the 1 API channels tracked here, input pricing ranges from $2.00 per 1M input tokens; the cheapest is Gemini(Google) at $2.00 per 1M input tokens. The official channel (Gemini(Google)) charges $2.00 per 1M input tokens and $12.00 per 1M output tokens. None of the tracked channels are directly reachable from mainland China without a proxy or VPN. Prices are collected hourly from official provider pages and every tracked channel, then cross-checked by a daily data-accuracy audit.
| Usage Level | Tokens/Month | Gemini(Google) |
|---|---|---|
| 🐣 Light | 0.1M in + 0.1M out | $0.80 |
| 📊 Medium | 1.0M in + 0.5M out | $8.00 |
| 🚀 Heavy | 10.0M in + 5.0M out | $80.00 |
| 🏢 Enterprise | 100.0M in + 50.0M out | $800.00 |
Frequently asked questions about gemini-3.5-transcribe
What is the cheapest API provider for gemini-3.5-transcribe?
Of the channels tracked here, Gemini(Google) is the cheapest at $2.00 per 1M input tokens and $12.00 per 1M output tokens (about $2.00 per 1M input). Confirm on the provider's page; figures are updated hourly.
What is the official API price of gemini-3.5-transcribe?
Gemini(Google) lists gemini-3.5-transcribe at $2.00 per 1M input tokens and $12.00 per 1M output tokens.
Can I use gemini-3.5-transcribe from mainland China?
None of the tracked channels are directly reachable from mainland China; reaching the official or international channels normally requires a proxy or VPN.
What is the context window of gemini-3.5-transcribe?
gemini-3.5-transcribe offers a 1,000,000-token context window.
How often are gemini-3.5-transcribe prices updated, and how reliable is the data?
Prices are scraped hourly from official pricing pages and every tracked channel, with every significant change recorded in a price-history log. A daily read-only data audit cross-checks each channel against the model producer's published price and flags stale or inconsistent rows for correction.