Gemma 4 E4B (Non-reasoning)
GoogleGemmaOpen WeightApache 2.0 · Commercial OK
Description
Gemma 4 E4B is Google DeepMind's compact multimodal model with 4.5 billion effective parameters (8B with embeddings) and a 128K context window. Supports image, text, and audio inputs. Features Per-Layer Embeddings for efficient on-device deployment while maintaining strong multimodal capabilities.
Release Date
2026-04-03
Parameters
8.0B
Context Length
33K
Modalities
text
Capability Radar
8
general
4
coding
55
reasoning
27
science
60
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 90 | 41.0 | LS |
| Code Ranking | 433 | 19.0 | AA |
| General Ranking | 477 | 23.0 | AA |
| Science | 482 | 22.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
57.5%SR
Biology
GPQANYU + Cohere + Anthropic (2023)
58.6%SR
Finance
MMLU-Pro
69.4%SR
General
MMMLU
76.6%SR
MMMU-Pro
52.6%SR
LiveCodeBench v6
52.0%SR
BIG-Bench Extra Hard
33.1%SR
MRCR v2 (8-needle)
25.4%SR
Healthcare
MedXpertQA
28.7%SR
Math
MathVision
59.5%SR
AIME 2026
42.5%SR
AA Evaluation Indices
(Artificial Analysis)Intelligence Index(Artificial Analysis)8.7
Gpqa(NYU + Cohere + Anthropic (2023))0.5
Ifbench(Google Research (2023))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Lcr(Artificial Analysis)0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Scicode(UIUC + Argonne National Lab (2024))0.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Legal70
Finance70
Language60
Math60
Physics60
Agents60
Biology60
Chemistry60
Tool Calling60
Multimodal50
Reasoning50
General50
Healthcare50
Vision50
Long Context30
Pricing
Input Price$0.02 / 1M tokens
Output Price$0.1 / 1M tokens
Blended Price (3:1)$0.04 / 1M tokens
Speed
Tokens/sec61.9
Time to First Token0.38s
Time to Answer0.38s
Provider Price Ranking
Provider Price Ranking
1 providers
ProviderInputOutput
1GooglePRIMARY
$0.02
$0.1
Compare pricing across different API providers for this model.