MDL
Gemma 4 E2B
Verified against Artificial Analysis · Jul 13, 2026
Capability
38
percentile index
Price /M
$0 / $0
in / out
Context
—
Avg score
20.8
7 benchmarks
AA Intelligence
9.3
index
Weights
Open
Released
Apr 2, 2026
About
Gemma 4 E2B is a open-weights model in the Gemma family from Google. Benchmarked on 7 evals, averaging 20.8.
Benchmark scores · 7
avg 20.8 — higher is betterThe research behind this model
all papers mentioning it →Gemma 4 Technical Report▲ 60 on HF · Jul 2, 2026Discrete Diffusion Language Models for Interactive Radiology Report Drafting▲ 11 on HF · Jul 1, 2026RepSelect: Robust LLM Unlearning via Representation Selectivity▲ 4 on HF · Jun 15, 2026The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure▲ 1 on HF · May 27, 2026BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse AutoencodersMay 28, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
History
full ledger →Capability over time
Append-only ledger — every observed change to this model's numbers.
API providers
Artificial Analysis$0/M