MDL
Gemma 4 E4B
Verified against Artificial Analysis · Jul 27, 2026
Capability
45
percentile index
Price /M
$0.02 / $0.1
in / out
Context
—
Avg score
34.1
8 benchmarks
AA Intelligence
11.9
index
Speed
107 tok/s
TTFT 0.3s
Released
Apr 3, 2026
About
Gemma 4 E4B is a open-weights model in the Gemma family from Google. Benchmarked on 8 evals, averaging 34.1.
Benchmark scores · 8
avg 34.1 — higher is betterThe research behind this model
all papers mentioning it →Gemma 4 Technical Report▲ 67 on HF · Jul 2, 2026K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs▲ 56 on HF · May 10, 2026Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge Flywheel▲ 12 on HF · Jul 15, 2026Discrete Diffusion Language Models for Interactive Radiology Report Drafting▲ 11 on HF · Jul 1, 2026Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model▲ 5 on HF · Jul 22, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Output speed107 tok/s
Latency (TTFT)0.3s
First answer19s
Price in / out$0.02 / $0.1 per 1M
Blended price$0.04 / 1M
Coding index9.4
Median across API providers, via Artificial Analysis. Blended = 3:1 input:output. For reasoning models, latency includes thinking time. Methodology →
History
full ledger →Capability over time
Append-only ledger — every observed change to this model's numbers.
API providers
Artificial Analysis$0.1/M