Gemma 3n E2B Instruct
Jun 2025
Gemma 3n E2B InstructCompare inon
Benchmarks of Gemma 3n E2B Instruct13
BenchmarkByScoreRank
Overall1
Knowledge4
Science2
Coding1
Documents1
Legacy · saturated or no longer reported4
No benchmark matches
—per task?
self-host onlyprice
—output speed?
32Kcontext
Ranking?
Alternatives?
ModelScoreCostPer taskWhat changes
BetterMinistral 3 3B 2512Open×2.1—$0.008
OpenQwen3 4B 2507 (Reasoning)×8—$0.40 / $0.80No image input
BetterGPT OSS 20BhighOpen×8.6—$0.011Memory (4-bit): 2.7 GB → 13 GB+1BetterMinistral 3 8B 2512Open×3.1—$0.011Memory (4-bit): 2.7 GB → 4.5 GB
BetterNemotron 3 Nano 30B A3BthinkingOpen×8.8—$0.017Memory (4-bit): 2.7 GB → 19 GB+1ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
Ministral 3 3B 2512Open×2.1—$0.008GPT OSS 20BhighOpen×8.6—$0.011Memory (4-bit): 2.7 GB → 13 GB+1Ministral 3 8B 2512Open×3.1—$0.011Memory (4-bit): 2.7 GB → 4.5 GBNemotron 3 Nano 30B A3BthinkingOpen×8.8—$0.017Memory (4-bit): 2.7 GB → 19 GB+1Ministral 3 14B 2512non-thinkingOpen×2.9—$0.019Memory (4-bit): 2.7 GB → 7 GBModelScoreCostPer taskWhat changes
Qwen3 4B 2507 (Reasoning)Open×8—$0.40 / $0.80No image inputTFalcon H1R 7BthinkingOpen×7.7——Memory (4-bit): 2.7 GB → 3.8 GB+1NVIDIA Nemotron Nano 12B v2 VLthinkingOpen×7.3—$0.20 / $0.60Memory (4-bit): 2.7 GB → 6.6 GB
Olmo 3 7B ThinkOpen×6.8——Memory (4-bit): 2.7 GB → 3.6 GB+1NVIDIA Nemotron Nano 9B V2thinkingOpen×6.7—$0.04 / $0.16Memory (4-bit): 2.7 GB → 4.4 GB+1ModelScoreCostPer taskWhat changes
Gemini 2.5 Prothinking×8.5—$0.31Gemini 2.5 Flashnon-thinking×5.8—$0.30 / $2.50Gemini 2.5 Flash Preview (Sep '25)non-thinking×5.5——Gemini 3 Flash Previewnon-thinking×5.4—$0.50 / $3Gemini 2.5 Flash Litenon-thinking×3.4—$0.10 / $0.40Gemma 3n E4B Instructnon-thinkingOpen+39%——Memory (4-bit): 2.7 GB → 3.9 GBGemma 3 270MOpen-77%——No image inputGemini 4 Argonhighn/a—*$1.62Synchronous output stops at 65,536+2All 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 Exam4.2#308
AA Omniscience Index-80.2#317
CritPt (physics)0#182
AA Intelligence Index 4.3.2≈4.8#329
AA Omniscience · Accuracy6.8#305
GPQA Diamond22.9#313
AIME 2025 · AA archived10.3#127
Coding
LiveCodeBench · AA archived9.5#146
Agents & Tool Use
τ²-bench · AA0#232
Writing & Language
IFBench (instructions)22#239
FAQ
How much does Gemma 3n E2B Instruct cost?›
There is no per-unit API price: self-host only.
Is Gemma 3n E2B Instruct free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Gemma 3n E2B Instruct, and what is it best at?›
#305 of 336 in Chat & Knowledge, #203 of 239 in Coding, #229 of 242 in Agents & Tool Use, #236 of 245 in Writing & Language.
Is Gemma 3n E2B Instruct better than Jamba Reasoning 3B?›
On AIME 2025 · AA archived, Gemma 3n E2B Instruct scores 10.3 vs 10.7 — about the same.
What is the context window of Gemma 3n E2B Instruct?›
32K tokens.
When was Gemma 3n E2B Instruct released? Is there a newer version?›
Released 2025-06-26. It has been superseded by Gemma 4 E2B.
Is Gemma 3n E2B Instruct open source?›
Yes, the weights are open (gemma licence).
Can I run Gemma 3n E2B Instruct locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Gemma 3n E2B Instruct read images?›
It accepts text and images as input.
What is Gemma 3n E2B Instruct?›
Gemma 3n E2B Instruct is an open-weights language model from Google, released Jun 2025.
What are the best alternatives to Gemma 3n E2B Instruct?›
Ministral 3 3B 2512 (better), Qwen3 4B 2507 (Reasoning) (open weights).