Gemini(Google)

Gemma 3n E4B

Gemini(Google) • API Price Comparison

📏 Context: 8,192 tokensAdded Mar 19, 2026

Gemma 3n E4B is a large language model by Gemini(Google) with a 8K-token context window. Prices are collected daily from official provider pages and every tracked channel, then cross-checked by a data-accuracy audit.

Model performance benchmarks

Scores retain their original benchmark, version and metric. We do not combine them into a site-wide score; results from different versions are not directly comparable.

29.6%
DiamondArtificial Analysis current suite · ACCURACYAs of 2026-09-20
4.5%
Text onlyArtificial Analysis current suite · ACCURACYAs of 2026-09-20
8.1%
MainArtificial Analysis current suite · PASS_RATEAs of 2026-09-04
2.3%
HardArtificial Analysis current suite · SUCCESS_RATEAs of 2026-09-20
27.9%
MainArtificial Analysis current suite · ACCURACYAs of 2026-09-20
26.2%
MainArtificial Analysis current suite · ACCURACYAs of 2026-09-20
💰 Cheapest Option
N/A
-/1M input
-/1M output
🏢 Official Price
N/A
No official channel available
🇨🇳 Best in China
No China-friendly options
📊 Channel Price Comparison
Compare gemma-3n-e4b API prices across all available channels • 0 channels available
ChannelTypeInput / 1MOutput / 1MRate LimitChinavs Official
📈 Price History
Every scraper-detected price change is recorded. Same-day multiple changes take the last value; unchanged channels carry the last observed price forward.
No price history yet. New price changes will appear after the next scraper run.
💵 Estimated Monthly Costs
Based on typical usage patterns (input:output = 2:1 ratio); all channels converted to USD for comparison
Usage LevelTokens/Month
🐣 Light0.1M in + 0.1M out
📊 Medium1.0M in + 0.5M out
🚀 Heavy10.0M in + 5.0M out
🏢 Enterprise100.0M in + 50.0M out

Frequently asked questions about gemma-3n-e4b

What is the context window of Gemma 3n E4B?

Gemma 3n E4B offers a 8,192-token context window.

How often are Gemma 3n E4B prices updated, and how reliable is the data?

Prices are scraped daily 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.

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