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Gemma 7B It

Google · 7B

Strongest in Fairness (#130 of 300, on 1 of its 2 boards), weakest in Safety (#327 of 337). Above par in 0 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.7 and ahead of Smollm2 1.7B Instruct and Gemma 2B It.

§ 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.

Human preference31.8#313/342
Human preference31.8#313/342
Safety39.6#327/337
Fairness48.9#130/300
Secure code37.2#229/274
Harm refusal45.1#244/300
Toxicity avoidance26.2#256/272
Jailbreak resistance26#264/272

§ 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 7B It, left for the other.

OLMo 7B Instruct Hfwon 6 · lost 0
OLMoE 1B-7B Instructwon 5 · lost 1
RakutenAI 7B Chatwon 5 · lost 1
SmolLM 1.7B Instructwon 5 · lost 1
PowerMoE 3Bwon 4 · lost 2
Phi 2won 4 · lost 2
Qwen2.5 7B Instructwon 4 · lost 2
Gemma 2B Itwon 5 · lost 3
Smollm2 1.7B Instructwon 5 · lost 3
H2o Danube3 500M Chatwon 3 · lost 3
PowerLM 3Bwon 3 · lost 3
LFM2 350Mwon 3 · lost 3
Laguna Xs 2.1won 3 · lost 3
Qwen2.5 0.5B Instructwon 3 · lost 3
Magistral Smallwon 3 · lost 3
Llama 3.2 1B Instructwon 4 · lost 4
Zephyr 7B Betawon 4 · lost 4
Command Rwon 2 · lost 3
DBRX Instructwon 3 · lost 5
Gemma 2 9B Itwon 3 · lost 5
Grok 3won 3 · lost 5
Grok 4won 3 · lost 5
RakutenAI 7B Instructwon 2 · lost 4
GLM-4 9B Chatwon 2 · lost 4
SmolLM2 360M Instructwon 2 · lost 4
Qwen2 7B Instructwon 2 · lost 4
Jamba Mini 1.7won 2 · lost 4
OLMo 2 7B Instructwon 2 · lost 4
Aya 23 8Bwon 2 · lost 4
Laguna S 2.1won 2 · lost 4
SEA LION V1 7B ITwon 2 · lost 4
Grok Build 0.1won 2 · lost 4
H2o Danube3 4B Chatwon 2 · lost 4
Jamba 1.6 Miniwon 2 · lost 4
Command R7Bwon 2 · lost 4
SmolLM 360M Instructwon 2 · lost 4
Qwen3 8Bwon 2 · lost 4
Open Mixtral 8x7bwon 2 · lost 4
Open Codestral Mambawon 2 · lost 4
Komodo 7B Basewon 2 · lost 4
WizardLM 2.8x22Bwon 2 · lost 4
Llama 3.2 3B Instructwon 2 · lost 6
Jamba 1.5 Miniwon 2 · lost 6
Command R Pluswon 2 · lost 6
Magistral Mediumwon 2 · lost 6
Llama 4 Scout Instructwon 2 · lost 6
Command Awon 2 · lost 6
Qwen3 30B A3B Instructwon 2 · lost 6
DeepSeek R1won 2 · lost 6
GLM-4.6won 2 · lost 6
Grok 4.1 Fastwon 2 · lost 6
GLM-5.2won 2 · lost 6
Gemini 3.5 Flashwon 2 · lost 6
Gemini 3.6 Flashwon 2 · lost 6
Qwen1.5 72B Chatwon 1 · lost 4
Olmo 2 32B Instructwon 1 · lost 4
Ling 3.0 Flash VLwon 1 · lost 5
LFM2 700Mwon 1 · lost 5
Jamba Large 1.7won 1 · lost 5
NexusRaven V2 13Bwon 1 · lost 5
Ling 3.0 Flashwon 1 · lost 5
Phi-4 Mini Instructwon 1 · lost 5
Qwen2.5 3B Instructwon 1 · lost 5
Aya 23 35Bwon 1 · lost 5
Gemma 4 E2Bwon 1 · lost 5
Jamba 1.6 Largewon 1 · lost 5
Yi 1.5 9B Chatwon 1 · lost 5
Gemma 4 E4Bwon 1 · lost 5
Jamba Instructwon 1 · lost 5
Sarvam 1won 1 · lost 5
SeaLLMs V3 7B Chatwon 1 · lost 5
Qwen2.5 7B Instruct 1Mwon 1 · lost 5
DeepSeek Reasonerwon 1 · lost 5
Qwen2.5 1.5B Instructwon 1 · lost 5
Kimi K2.7 Codewon 1 · lost 5
Gemma 4 12Bwon 1 · lost 5
IBM Granite 4.0 Microwon 1 · lost 5
Open Mixtral 8x22bwon 1 · lost 5
Apertus 8B Instructwon 1 · lost 5
DeepSeek Chatwon 1 · lost 5
Qwen2.5 32B Instructwon 1 · lost 5
LongWriter Glm4 9Bwon 1 · lost 5
Qwen2 VL 72Bwon 1 · lost 5
GLM-5 Turbowon 1 · lost 5
Sarvam 30Bwon 1 · lost 5
Qwen2.5 14B Instructwon 1 · lost 5
Llama 3 70B Chat HFwon 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
Phi 3.5 Mini Instructwon 1 · lost 5
K2 Chatwon 1 · lost 5
Krutrim 2 Instructwon 1 · lost 5
EAI SageAlign 8B LoRAwon 1 · lost 5
Phi 3.5 MoE Instructwon 1 · lost 5
Llama 3 8B Chat Hfwon 1 · lost 5
Llama 3.2 Vision (11B)won 1 · lost 5
Titan Text Express V1won 1 · lost 5
Internlm2 Chat 20Bwon 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
Granite 4.0 H Smallwon 1 · lost 5
Llama 2 7B Chat Hfwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
Claude Sonnet 4.6won 1 · lost 5
Phi 3 Mini 4k Instructwon 1 · lost 7
DeepSeek LLM 67B Chatwon 1 · lost 7
Qwen1.5 14B Chatwon 1 · lost 7
GPT-3.5 Turbowon 1 · lost 7
Llama 3.1 8B Instructwon 1 · lost 7
Llama 3.1 Tulu 3 8Bwon 1 · lost 7
C4ai Aya Expanse 8Bwon 1 · lost 7
Llama 3 8B Instructwon 1 · lost 7
Nova Microwon 1 · lost 7
Phi 4won 1 · lost 7
Nova Litewon 1 · lost 7
Claude 3 Haikuwon 1 · lost 7
C4ai Aya Expanse 32Bwon 1 · lost 7
GPT-4won 1 · lost 7
Jamba 1.5 Largewon 1 · lost 7
Nova Prowon 1 · lost 7
Gemma 3 4B Itwon 1 · lost 7
GPT-4o Miniwon 1 · lost 7
Qwen Maxwon 1 · lost 7
GPT-4.1 Nanowon 1 · lost 7
QwQ 32Bwon 1 · lost 7
Gemma 3 12B Itwon 1 · lost 7
Gemini 1.5 Prowon 1 · lost 7
Gemini 2.0 Flash Litewon 1 · lost 7
Mistral Smallwon 1 · lost 7
Gemma 3 27B Itwon 1 · lost 7
GLM-4.5won 1 · lost 7
DeepSeek V3.2won 1 · lost 7
Gemma 4 26B A4Bwon 1 · lost 7
DeepSeek V4 Flashwon 1 · lost 7
Grok 4.3won 1 · lost 7
Kimi K2.5won 1 · lost 7
Gemma 4 31Bwon 1 · lost 7
Mimo V2.6 Flashwon 1 · lost 7
Kimi K2.6won 1 · lost 7
DeepSeek V4 Prowon 1 · lost 7
Qwen3.7 Maxwon 1 · lost 7
GPT-5.4won 1 · lost 7
Qwen3.8 Maxwon 1 · lost 7
Mimo V2.6 Prowon 1 · lost 7
Grok 3 Mini Betawon 0 · lost 5
GLM-4.5 Airwon 0 · lost 5
Gemini 2.5 Flash Litewon 0 · lost 5
GPT-4.5won 0 · lost 5
Gemini 3 Prowon 0 · lost 5
LFM2 1.2Bwon 0 · lost 6
DeepSeek V3p1won 0 · lost 6
Hunyuan A13B Instructwon 0 · lost 6
Fuguwon 0 · lost 6
GPT-5.6 Astrawon 0 · lost 6
Kimi K2 Thinkingwon 0 · lost 6
GPT OSS Safeguard 20Bwon 0 · lost 6
Fugu Ultra V2won 0 · lost 6
Nova Premierwon 0 · lost 6
Cogito 671B V2 P1won 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
Claude Opus 4.6won 0 · lost 6
Starling Lm 7B Betawon 0 · lost 8
Gemma 2 2B Itwon 0 · lost 8
Qwen2 72B Instructwon 0 · lost 8
Llama 3 70B Instructwon 0 · lost 8
Claude 3 Sonnetwon 0 · lost 8
Gemma 2 27B Itwon 0 · lost 8
Qwen2.5 72B Instructwon 0 · lost 8
Mistral Largewon 0 · lost 8
Gemini 1.5 Flashwon 0 · lost 8
GPT OSS 20Bwon 0 · lost 8
Claude 3 Opuswon 0 · lost 8
GPT-4 Turbowon 0 · lost 8
Claude 3.5 Haikuwon 0 · lost 8
GPT-4owon 0 · lost 8
O1 Miniwon 0 · lost 8
GPT-5 Nanowon 0 · lost 8
MiniMax M2won 0 · lost 8
GPT OSS 120Bwon 0 · lost 8
Gemini 2.0 Flashwon 0 · lost 8
O3 Miniwon 0 · lost 8
Claude 3.5 Sonnetwon 0 · lost 8
GPT-4.1 Miniwon 0 · lost 8
Claude 3.7 Sonnetwon 0 · lost 8
GPT-5 Miniwon 0 · lost 8
O4 Miniwon 0 · lost 8
Qwen3.5 35B A3Bwon 0 · lost 8
DeepSeek V3won 0 · lost 8
Claude Sonnet 4won 0 · lost 8
O1won 0 · lost 8
Qwen3.5 27Bwon 0 · lost 8
Gemini 2.5 Flashwon 0 · lost 8
Claude Haiku 4.5won 0 · lost 8
GPT-4.1won 0 · lost 8
MiniMax M2.7won 0 · lost 8
Qwen3.5 122B A10Bwon 0 · lost 8
Kimi K2won 0 · lost 8
Claude Opus 4won 0 · lost 8
O3won 0 · lost 8
GPT-5won 0 · lost 8
GPT-5.2won 0 · lost 8
Grok 4.7won 0 · lost 8
MiniMax M3won 0 · lost 8
GPT-6 Lunawon 0 · lost 8
Inklingwon 0 · lost 8
Qwen3.5 397B A17Bwon 0 · lost 8
Gemini 2.5 Prowon 0 · lost 8
Grok 4.6won 0 · lost 8
GPT-5.6 Lunawon 0 · lost 8
GPT-5.1won 0 · lost 8
GPT-6 Solwon 0 · lost 8
Hy3won 0 · lost 8
Claude Sonnet 4.5won 0 · lost 8
Claude Sonnet 5won 0 · lost 8
GLM-5.1won 0 · lost 8
Grok 4.5won 0 · lost 8
GPT-5.6 Terrawon 0 · lost 8
Mimo V2.5 Prowon 0 · lost 8
GLM-5.3 Flashwon 0 · lost 8
Claude Opus 4.8won 0 · lost 8
GPT-5.5won 0 · lost 8
GPT-5.6 Solwon 0 · lost 8
Claude Opus 5won 0 · lost 8
Muse Spark 1.1won 0 · lost 8
Gemini 3.8 Flashwon 0 · lost 8
Claude Opus 4.7won 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.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1138
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 37.5%Enkrypt · Harmful content risk 45.6%Enkrypt · CBRN risk 21.2%Enkrypt · Toxicity risk 23%Enkrypt · Bias risk 79.6%Enkrypt · Insecure code risk 59.6%

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