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
BetterMinistral 3 3B 2512Open+69%—$0.008SOpenApriel v1.6 15B Thinker×5.5——Memory (4-bit): 3.9 GB → 7.4 GBBetterMinistral 3 8B 2512Open×2.1—$0.011Memory (4-bit): 3.9 GB → 4.5 GB
BetterGPT OSS 20BhighOpen×5.3—$0.011Memory (4-bit): 3.9 GB → 13 GB+1
BetterNemotron 3 Nano 30B A3BthinkingOpen×5.1—$0.017Memory (4-bit): 3.9 GB → 19 GB+1ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
Ministral 3 3B 2512Open+69%—$0.008Ministral 3 8B 2512Open×2.1—$0.011Memory (4-bit): 3.9 GB → 4.5 GBGPT OSS 20BhighOpen×5.3—$0.011Memory (4-bit): 3.9 GB → 13 GB+1Nemotron 3 Nano 30B A3BthinkingOpen×5.1—$0.017Memory (4-bit): 3.9 GB → 19 GB+1Ministral 3 14B 2512non-thinkingOpen×2.4—$0.019Memory (4-bit): 3.9 GB → 7 GBModelScoreCostPer taskWhat changes
SApriel v1.6 15B ThinkerOpen×5.5——Memory (4-bit): 3.9 GB → 7.4 GBSApriel v1.5 15B ThinkerOpen×5——Memory (4-bit): 3.9 GB → 7.4 GBTFalcon H1R 7BthinkingOpen×5——No image inputNVIDIA Nemotron Nano 9B V2thinkingOpen×5—$0.04 / $0.16Memory (4-bit): 3.9 GB → 4.4 GB+1NVIDIA Nemotron Nano 12B v2 VLthinkingOpen×4.8—$0.20 / $0.60Memory (4-bit): 3.9 GB → 6.6 GBModelScoreCostPer taskWhat changes
Gemini 2.5 Prothinking×5.5—$0.33Gemini 3 Flash Previewnon-thinking×5.5—$0.50 / $3Gemini 2.5 Pro Preview (May' 25)thinking×5.3——No image inputGemini 2.5 Flash Preview (Sep '25)non-thinking×4.3——Gemini 2.5 Flashnon-thinking×3.4—$0.30 / $2.50Gemini 2.5 Flash Litenon-thinking×2.7—$0.10 / $0.40Gemma 3n E4B Instruct Preview (May '25)Opensame——Memory (4-bit): not verified+1Gemma 3n E2B InstructOpen-35%——All 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 Mixtral 8x22B Instruct?›
On LiveCodeBench · AA archived, Gemma 3n E4B Instruct scores 14.6 vs 14.8 — 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?›
Ministral 3 3B 2512 (better), Apriel v1.6 15B Thinker (open weights).