Gemma 3n E4B Instruct
Jun 2025
Gemma 3n E4B InstructCompare inon
Benchmarks of Gemma 3n E4B Instruct30
BenchmarkByScoreRank
Overall1
Knowledge4
Science2
Coding1
Agents1
Multimodal1
Writing15
Legacy · saturated or no longer reported5
No benchmark matches
—per task?
self-host onlyprice
—output speed?
32Kcontext
Rankingin non-thinking mode?
Alternatives?
ModelScoreCostPer taskWhat changes
BetterGPT-5 Minihighwins 53%—$0.053OpenGemma 3 12Bunstatedwins 55%—$0.05 / $0.10Memory (4-bit): 3.9 GB → 6.1 GBBetterGPT-6 Lunamaxwins 65%—$0.068Function calling only with none · Chat Completions+3BetterGPT-5.6 Lunaxhighwins 65%—$0.085BetterGPT-5.6 Terraxhighwins 68%—$0.63Prompts with >272K input tokensModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
GPT-5 Minihighwins 53%—$0.053GPT-6 Lunamaxwins 65%—$0.068Function calling only with none · Chat Completions+3GPT-5.6 Lunaxhighwins 65%—$0.085GPT-5.6 Terraxhighwins 68%—$0.63Prompts with >272K input tokensGPT-6.1 Solmaxwins 71%—$0.72Remove unsupported parameters+5ModelScoreCostPer taskWhat changes
Gemma 3 12BunstatedOpenwins 55%—$0.05 / $0.10Memory (4-bit): 3.9 GB → 6.1 GB
NVIDIA Nemotron 3.5 Lightning 30B A3B NVFP4Openwins 48%——Memory (4-bit): 3.9 GB → 11 GB+1Gemma 3 4BunstatedOpenwins 47%—$0.04 / $0.05
Granite 4.1 8BunstatedOpenwins 45%——Memory (4-bit): 3.9 GB → 4.4 GB+1Gemma 2 9B ItOpenwins 44%—$0.03 / $0.06Context: 32K → 8K+2ModelScoreCostPer taskWhat changes
Gemini 4 Argonhighwins 78%—*$1.99Synchronous output stops at 65,536+2Gemini 3.8 Flashhighwins 75%—*$1.24Sampling parameters are ignored+1Gemini 3.1 Pro Previewunstatedwins 74%—$2 / $12Cannot use both thinking controlsGemini 3.6 Flashhighwins 73%—*$1.60Gemini 3 Flash Previewunstatedwins 71%—$0.50 / $3Gemini 2.5 Prounstatedwins 70%—$1.25 / $10Gemini 3.5 Flash Liteunstatedwins 69%—$0.30 / $2.50Gemma 4 31BunstatedOpenwins 67%—$0.10 / $0.34Memory (4-bit): 3.9 GB → 19 GBAll Google models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceGemma termscommercial use with conditions
Benchmarks
all categoriesChat & Knowledge
Humanity's Last Exam4.5#295
AA Omniscience Index-81.3#317
CritPt (physics)0#180
AA Intelligence Index 4.3.2≈4.8#327
GPQA Diamond29.6#300
AIME 2025 · AA archived14.3#120
Coding
Terminal-Bench 2.10.7#152
LiveCodeBench · AA archived14.6#142
Agents & Tool Use
τ³-Banking · AA0.2#134
τ²-bench · AA5#231
Writing & Language
IFBench (instructions)27.9#219
Vision & Documents
MMMU-Pro (vision)26.2#126
FAQ
How much does Gemma 3n E4B Instruct cost?›
There is no per-unit API price: self-host only.
Is Gemma 3n E4B Instruct free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Gemma 3n E4B Instruct, and what is it best at?›
#292 of 334 in Chat & Knowledge, #181 of 239 in Coding, #228 of 242 in Agents & Tool Use, #131 of 195 in Writing & Language, #123 of 124 in Vision & Documents.
Is Gemma 3n E4B Instruct better than Qwen3 32B?›
On Arena Text · creative writing, Gemma 3n E4B Instruct scores 1,299 vs 1,304 — about the same.
What is the context window of Gemma 3n E4B Instruct?›
32K tokens.
When was Gemma 3n E4B Instruct released? Is there a newer version?›
Released 2025-06-26. It has been superseded by Gemma 4 E4B.
Is Gemma 3n E4B Instruct open source?›
Yes, the weights are open (gemma licence).
Can I run Gemma 3n E4B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Gemma 3n E4B Instruct read images?›
It accepts text and images as input.
What is Gemma 3n E4B Instruct?›
Gemma 3n E4B Instruct is an open-weights language model from Google, released Jun 2025.
What are the best alternatives to Gemma 3n E4B Instruct?›
GPT-5 Mini (better), Gemma 3 12B (open weights).