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Gemma 4 E4B

Google

Strongest in Secure code (#27 of 270), weakest in Fairness (#272 of 292). Above par in 2 of 15 scopes. Among the models it meets almost everywhere, it finishes behind MiniMax M2.7 and Claude Opus 5.5 and ahead of MiniMax M3 and GLM-5.2.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge39.8#184/197
Document parsing39.1#69/83
Safety48.3#223/329
Secure code63.2#27/270
Toxicity avoidance56.1#70/268
Harm refusal47.1#202/292
Jailbreak resistance38.3#222/268
Fairness39.7#272/292
Agents42.9#253/298
Knowledge work35.8#178/208
Tool use37.8—/81✱
Reasoning47.5—/195✱
Science42.2—/122✱
Coding45.6—/179✱
Agentic coding45—/173✱

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Gemma 4 E4B, left for the other.

DeepSeek V3won 7 · lost 2
DeepSeek R1won 7 · lost 2
Ling 3.0 Flashwon 5 · lost 4
Qwen3.7 Maxwon 5 · lost 4
Kimi K2.6won 5 · lost 4
GLM-5.2won 5 · lost 4
MiniMax M3won 5 · lost 4
Gemini 3.5 Flashwon 5 · lost 5
Gemini 3.6 Flashwon 5 · lost 5
O3 Miniwon 4 · lost 5
Llama 3.3 70B Instructwon 4 · lost 5
GPT-4.1 nanowon 4 · lost 5
Gemini 2.5 Prowon 4 · lost 5
Magistral Small 1.2won 4 · lost 5
DeepSeek V3.2won 4 · lost 5
DeepSeek V4 Flashwon 4 · lost 5
GLM-4.6won 4 · lost 5
GLM-5.3 Flashwon 4 · lost 6
GPT OSS 20Bwon 3 · lost 6
Grok 4.3won 3 · lost 6
MiMo V2.5 Prowon 3 · lost 6
Gemma 4 31Bwon 3 · lost 7
GPT-4.1 miniwon 2 · lost 7
GLM-5.1won 2 · lost 7
Muse Spark 1.1won 2 · lost 7
DeepSeek V4 Prowon 2 · lost 7
Gemma 4 26B A4Bwon 2 · lost 8
Gemini 3.8 Flashwon 2 · lost 8
GPT-5.6 Lunawon 2 · lost 8
GPT-5.6 Solwon 2 · lost 8
GPT-6 Solwon 2 · lost 8
GPT-4owon 1 · lost 8
Claude 3.5 Haikuwon 1 · lost 8
GPT OSS 120Bwon 1 · lost 8
Claude Sonnet 4won 1 · lost 8
GPT-5.1won 1 · lost 8
GPT-5won 1 · lost 8
Grok 4.5won 1 · lost 8
Kimi K2.5won 1 · lost 8
Qwen3.8 Maxwon 1 · lost 8
Grok 4.6won 1 · lost 8
Claude Sonnet 4.5won 1 · lost 8
Claude Opus 5won 1 · lost 8
GPT-6 Lunawon 1 · lost 9
GPT-5 miniwon 1 · lost 9
Claude Haiku 4.5won 1 · lost 9
GPT-5.4won 1 · lost 9
GPT-5.6 Terrawon 1 · lost 9
GPT-5.5won 1 · lost 9
Claude Opus 4.7won 1 · lost 9
Claude Opus 4.8won 1 · lost 9
Claude Sonnet 5won 1 · lost 9
Claude Opus 5.5won 1 · lost 9
MiniMax M2.7won 0 · lost 9

§ 3 · Sources

Where the numbers come from

4 publications, 16 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA -29
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 41.13%ParseBench · Tables 43.05%ParseBench · Charts 5.86%ParseBench · Content faithfulness 83.9%ParseBench · Semantic formatting 41.03%ParseBench · Visual grounding 31.79%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 22.6%Enkrypt · Harmful content risk 14.4%Enkrypt · CBRN risk 33.2%Enkrypt · Toxicity risk 2%Enkrypt · Bias risk 93.8%Enkrypt · Insecure code risk 6.2%
tau3-Banking 5%Terminal-Bench 2.1 2%GPQA Diamond 52%

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PublicAI Index badge for Gemma 4 E4B[![PublicAI Index](https://publicai.io/model-index/badge?model=gemma-4-e4b)](https://publicai.io/model-index/m/gemma-4-e4b)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API