Gemma 3n E4B Instruct
GoogleGemmaOpen WeightGemma · Commercial OK
Description
Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. It features innovations like Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture for reduced compute and memory. These models handle audio, text, and visual data, though this E4B preview currently supports text and vision input. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models, and is licensed for responsible commercial use.
Release Date
2025-06-26
Parameters
1.9B
Context Length
33K
Modalities
image, text
Capability Radar
16
general
8
coding
25
reasoning
17
science
20
agents
80
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 534 | 5.0 | AA |
| General Ranking | 540 | 16.0 | AA |
| Science | 544 | 14.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
23.7%SR
Chemistry
OpenAI MMLU
35.6%SR
Code
HumanEvalOpenAI (2021)
75.0%SR
Codegolf v2.2
16.8%SR
LiveCodeBench
13.2%SR
Creativity
Social IQa
50.0%SR
Finance
MMLU
64.9%SR
MMLU-Pro
50.6%SR
MMLU-ProX
19.9%SR
General
ARC-E
81.6%SR
PIQA
81.0%SR
TriviaQA
70.2%SR
Global-MMLU-Lite
64.5%SR
MBPP
0.64 / 100SR
ARC-C
61.6%SR
Global-MMLU
60.3%SR
Include
57.2%SR
LiveCodeBench v5
25.7%SR
Natural Questions
20.9%SR
Language
BoolQ
81.6%SR
Winogrande
71.7%SR
BIG-Bench Hard
52.9%SR
WMT24++
50.1%SR
ECLeKTic
1.9%SR
Math
DROP
60.8%SR
MGSM
60.7%SR
HiddenMath
37.7%SR
AIME 2025
11.6%SR
Reasoning
HellaSwagAI2 (2019)
78.6%SR
AA Evaluation Indices
(Artificial Analysis)Math Index(Artificial Analysis)14.3
Coding Index(Artificial Analysis)3.2
Intelligence Index(Artificial Analysis)1.0
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.5
Gpqa(NYU + Cohere + Anthropic (2023))0.3
Ifbench(Google Research (2023))0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Aime 25(MAA (Mathematical Association of America))0.1
Aime(MAA (Mathematical Association of America))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
Hle(Center for AI Safety + Scale AI (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Terminalbench V2 10.0
Tau Banking0.0
Lcr(Artificial Analysis)0.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Legal50
Physics50
Psychology50
Reasoning50
Language50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
Pricing
Input Price$0.06 / 1M tokens
Output Price$0.12 / 1M tokens
Blended Price (3:1)$0.075 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
3 providers
Cheapest: GoogleMost Expensive: Kilo Gateway
ProviderInputOutput
1GooglePRIMARY
$0.06
$0.12
2OpenRouter
$0.06
$0.12
3Kilo Gateway
$0.06
$0.12
Compare pricing across different API providers for this model.