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The LLM benchmark aggregator.

Gemma 4 E2B

Google

Strongest in Secure code (#16 of 274), weakest in Fairness (#292 of 300). Above par in 2 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 5 and ahead of Command A and Qwen3 30B A3B Instruct.

§ 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.

Safety47.9#237/337
Secure code64.5#16/274
Toxicity avoidance53.9#135/272
Harm refusal47.5#202/300
Jailbreak resistance38.7#224/272
Fairness36.7#292/300
Agents39.5#241/268
Knowledge work34.3#163/178

§ 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 E2B, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0
DeepSeek V3won 7 · lost 1
OLMo 7B Instruct Hfwon 5 · lost 1
RakutenAI 7B Chatwon 5 · lost 1
SmolLM 1.7B Instructwon 5 · lost 1
PowerMoE 3Bwon 5 · lost 1
Phi 2won 5 · lost 1
Qwen2.5 7B Instructwon 5 · lost 1
Gemma 7B Itwon 5 · lost 1
PowerLM 3Bwon 5 · lost 1
Laguna Xs 2.1won 5 · lost 1
GLM-4 9B Chatwon 5 · lost 1
Grok 3won 5 · lost 1
GPT-3.5 Turbowon 5 · lost 1
Llama 3.1 8B Instructwon 6 · lost 2
Command R7Bwon 5 · lost 2
Grok 4won 5 · lost 2
Grok 4.1 Fastwon 5 · lost 2
DBRX Instructwon 4 · lost 2
H2o Danube3 500M Chatwon 4 · lost 2
Smollm2 1.7B Instructwon 4 · lost 2
LFM2 350Mwon 4 · lost 2
RakutenAI 7B Instructwon 4 · lost 2
SmolLM2 360M Instructwon 4 · lost 2
Qwen2.5 0.5B Instructwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Jamba Mini 1.7won 4 · lost 2
OLMo 2 7B Instructwon 4 · lost 2
Magistral Smallwon 4 · lost 2
Aya 23 8Bwon 4 · lost 2
Laguna S 2.1won 4 · lost 2
Qwen1.5 14B Chatwon 4 · lost 2
H2o Danube3 4B Chatwon 4 · lost 2
Zephyr 7B Betawon 4 · lost 2
Mimo V2.6 Flashwon 4 · lost 2
Magistral Mediumwon 4 · lost 2
Jamba 1.6 Miniwon 4 · lost 2
LFM2 700Mwon 4 · lost 2
Command R Pluswon 4 · lost 2
Jamba Large 1.7won 4 · lost 2
SmolLM 360M Instructwon 4 · lost 2
Open Mixtral 8x7bwon 4 · lost 2
DeepSeek LLM 67B Chatwon 4 · lost 2
Open Codestral Mambawon 4 · lost 2
Jamba 1.5 Miniwon 4 · lost 2
Qwen2.5 3B Instructwon 4 · lost 2
DeepSeek V3p1won 4 · lost 2
Phi-4 Mini Instructwon 5 · lost 3
Grok Build 0.1won 5 · lost 3
Gemini 3.6 Flashwon 5 · lost 3
Qwen3 30B A3B Instructwon 4 · lost 3
Command Awon 4 · lost 3
Gemma 2B Itwon 3 · lost 3
SEA LION V1 7B ITwon 3 · lost 3
NexusRaven V2 13Bwon 3 · lost 3
Jamba 1.5 Largewon 3 · lost 3
Gemma 2 9B Itwon 3 · lost 3
LFM2 1.2Bwon 3 · lost 3
Aya 23 35Bwon 3 · lost 3
GLM-4.5won 3 · lost 3
Jamba Instructwon 3 · lost 3
Sarvam 1won 3 · lost 3
Gemma 2 2B Itwon 3 · lost 3
Hunyuan A13B Instructwon 3 · lost 3
Fuguwon 3 · lost 3
DeepSeek R1won 4 · lost 4
Gemini 2.5 Prowon 4 · lost 4
Qwen3 8Bwon 4 · lost 4
Ling 3.0 Flashwon 4 · lost 4
Grok 4.3won 4 · lost 4
Gemini 3.5 Flashwon 4 · lost 4
Qwen3.7 Maxwon 4 · lost 4
Ling 3.0 Flash VLwon 4 · lost 4
DeepSeek V3.2won 4 · lost 4
Kimi K2.6won 4 · lost 4
GLM-5.2won 4 · lost 4
GLM-4.6won 4 · lost 4
DeepSeek V4 Flashwon 4 · lost 4
MiniMax M3won 4 · lost 4
Mistral Smallwon 3 · lost 4
Mistral Largewon 3 · lost 4
Gemini 2.5 Flashwon 3 · lost 4
Kimi K2won 3 · lost 4
Gemma 3 27B Itwon 3 · lost 5
Gemma 3 12B Itwon 3 · lost 5
O3 Miniwon 3 · lost 5
GPT-4.1 Nanowon 3 · lost 5
Gemma 4 E4Bwon 3 · lost 5
GPT OSS 20Bwon 3 · lost 5
Mimo V2.5 Prowon 3 · lost 5
GLM-5.3 Flashwon 3 · lost 5
QwQ 32Bwon 2 · lost 4
Jamba 1.6 Largewon 2 · lost 4
Yi 1.5 9B Chatwon 2 · lost 4
SeaLLMs V3 7B Chatwon 2 · lost 4
Qwen2.5 7B Instruct 1Mwon 2 · lost 4
DeepSeek Reasonerwon 2 · lost 4
Qwen2.5 1.5B Instructwon 2 · lost 4
Komodo 7B Basewon 2 · lost 4
WizardLM 2.8x22Bwon 2 · lost 4
Gemini 2.0 Flash Litewon 2 · lost 4
Gemini 1.5 Prowon 2 · lost 4
DeepSeek Chatwon 2 · lost 4
LongWriter Glm4 9Bwon 2 · lost 4
Gemini 1.5 Flashwon 2 · lost 4
GLM-5 Turbowon 2 · lost 4
Llama 3 8B Instructwon 2 · lost 4
Claude 3 Haikuwon 2 · lost 4
Gemini 2.0 Flashwon 2 · lost 4
GPT-5.6 Astrawon 2 · lost 4
K2 Chatwon 2 · lost 4
Phi 3 Mini 4k Instructwon 2 · lost 4
Krutrim 2 Instructwon 2 · lost 4
EAI SageAlign 8B LoRAwon 2 · lost 4
Nova Litewon 2 · lost 4
Internlm2 Chat 20Bwon 2 · lost 4
Fugu Ultra V2won 2 · lost 4
Llama 3.2 1B Instructwon 2 · lost 5
Gemma 3 4B Itwon 2 · lost 5
Llama 3.2 3B Instructwon 2 · lost 5
Nova Prowon 2 · lost 5
O3won 2 · lost 5
O4 Miniwon 2 · lost 5
GPT-4.1won 2 · lost 5
GPT-4won 2 · lost 6
Gemma 4 31Bwon 2 · lost 6
Gemma 4 26B A4Bwon 2 · lost 6
GPT-4.1 Miniwon 2 · lost 6
Kimi K2.7 Codewon 2 · lost 6
GLM-5.1won 2 · lost 6
GPT-5.5won 2 · lost 6
Muse Spark 1.1won 2 · lost 6
GPT-6 Lunawon 2 · lost 6
DeepSeek V4 Prowon 2 · lost 6
GPT-5.6 Terrawon 2 · lost 6
GPT-5.6 Lunawon 2 · lost 6
GPT-5.6 Solwon 2 · lost 6
GPT-6 Solwon 2 · lost 6
Qwen3.8 Maxwon 2 · lost 6
IBM Granite 4.0 Microwon 1 · lost 5
Starling Lm 7B Betawon 1 · lost 5
Open Mixtral 8x22bwon 1 · lost 5
Apertus 8B Instructwon 1 · lost 5
Qwen2.5 32B Instructwon 1 · lost 5
Qwen2 VL 72Bwon 1 · lost 5
Sarvam 30Bwon 1 · lost 5
Qwen2.5 14B Instructwon 1 · lost 5
Llama 3 70B Chat HFwon 1 · lost 5
Kimi K2 Thinkingwon 1 · lost 5
GPT OSS Safeguard 20Bwon 1 · lost 5
SeaLLM 7B V2won 1 · lost 5
Apertus 70B Instructwon 1 · lost 5
Granite 4.0 H Microwon 1 · lost 5
Granite 4.0 H Tinywon 1 · lost 5
Llama 3 70B Instructwon 1 · lost 5
Phi 3.5 Mini Instructwon 1 · lost 5
Llama 3.1 Tulu 3 8Bwon 1 · lost 5
Qwen Maxwon 1 · lost 5
Qwen3.5 27Bwon 1 · lost 5
Phi 3.5 MoE Instructwon 1 · lost 5
Llama 3 8B Chat Hfwon 1 · lost 5
C4ai Aya Expanse 32Bwon 1 · lost 5
C4ai Aya Expanse 8Bwon 1 · lost 5
Llama 3.2 Vision (11B)won 1 · lost 5
Titan Text Express V1won 1 · lost 5
Qwen2.5 72B Instructwon 1 · lost 5
Llama 2 70B Chat Hfwon 1 · lost 5
Llama 2 13B Chat Hfwon 1 · lost 5
Llama 3 8B Instruct RRwon 1 · lost 5
Nova Premierwon 1 · lost 5
Granite 4.0 H Smallwon 1 · lost 5
Llama 2 7B Chat Hfwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
GPT-4owon 1 · lost 5
Qwen2 72B Instructwon 1 · lost 5
Claude 3 Sonnetwon 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Claude Opus 4won 1 · lost 5
O1 Miniwon 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
GPT-4 Turbowon 1 · lost 5
O1won 1 · lost 5
MiniMax M2won 1 · lost 5
Claude 3 Opuswon 1 · lost 5
Claude 3.5 Sonnetwon 1 · lost 5
Claude Sonnet 4.6won 1 · lost 5
Nova Microwon 1 · lost 6
Phi 4won 1 · lost 6
Claude 3.7 Sonnetwon 1 · lost 6
Llama 4 Scout Instructwon 1 · lost 7
GPT-4o Miniwon 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 7
Gemma 4 12Bwon 1 · lost 7
Qwen3.5 122B A10Bwon 1 · lost 7
Qwen3.5 397B A17Bwon 1 · lost 7
Qwen3.5 35B A3Bwon 1 · lost 7
GPT OSS 120Bwon 1 · lost 7
Claude Sonnet 4won 1 · lost 7
GPT-5 Miniwon 1 · lost 7
GPT-5.1won 1 · lost 7
Hy3won 1 · lost 7
Kimi K2.5won 1 · lost 7
Grok 4.5won 1 · lost 7
Claude Haiku 4.5won 1 · lost 7
GPT-5.4won 1 · lost 7
Claude Sonnet 4.5won 1 · lost 7
Claude Opus 4.7won 1 · lost 7
Gemini 3.8 Flashwon 1 · lost 7
Claude Opus 4.8won 1 · lost 7
Claude Sonnet 5won 1 · lost 7
Mimo V2.6 Prowon 1 · lost 7
Gemma 2 27B Itwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
GPT-5 Nanowon 0 · lost 7
GPT-5.2won 0 · lost 7
MiniMax M2.7won 0 · lost 8
GPT-5won 0 · lost 8
Inklingwon 0 · lost 8
Grok 4.6won 0 · lost 8
Grok 4.7won 0 · lost 8
Claude Opus 5won 0 · lost 8
Claude Opus 5.5won 0 · lost 8

§ 3 · Sources

Where the numbers come from

2 publications, 7 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA -203
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 22.3%Enkrypt · Harmful content risk 13.3%Enkrypt · CBRN risk 32%Enkrypt · Toxicity risk 3.6%Enkrypt · Bias risk 98.5%Enkrypt · Insecure code risk 4%

Badge

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