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Gemma 3 12B IT

Google · 12B · open weights

Strongest in Factual grounding (#8 of 104), weakest in Agents (#276 of 298). Above par in 7 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.8 and Claude Sonnet 5 and ahead of Gemini 2.5 Pro and Gemma 4 26B A4B.

§ 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.

Safety52.2#123/327
Factual grounding64.1#8/104
Toxicity avoidance56.1#70/266
Jailbreak resistance55.7#104/266
Secure code50.8#149/268
Harm refusal49.3#159/290
Fairness44.2#200/290
Human preference51.1#186/354
Human preference51.1#186/354
Agents40.8#276/298
Tool use44.6#47/81
Knowledge work30#205/208

§ 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 3 12B IT, left for the other.

SmolLM2 1.7B Instructwon 8 · lost 0
Nous Hermes 2 Mixtral 8x7B DPOwon 8 · lost 0
DBRX Instructwon 8 · lost 0
Mixtral 8x7B Instructwon 8 · lost 0
GPT-3.5 Turbowon 8 · lost 0
QwQ 32Bwon 8 · lost 0
Mistral Small 3 24B Instructwon 8 · lost 1
Command R+won 8 · lost 1
OLMo 7B Instructwon 7 · lost 1
Gemma 2B ITwon 7 · lost 1
Zephyr 7B Betawon 7 · lost 1
Gemma 7B ITwon 7 · lost 1
DeepSeek LLM 67B Chatwon 7 · lost 1
Qwen1.5 14B Chatwon 7 · lost 1
Jamba 1.5 Miniwon 7 · lost 1
Jamba 1.5 Largewon 7 · lost 1
Llama 3.1 70B Instructwon 7 · lost 1
Magistral Mediumwon 7 · lost 1
Gemma 3 4B ITwon 9 · lost 2
Llama 3.2 3B Instructwon 7 · lost 2
Phi-4 Mini Instructwon 6 · lost 2
Granite 3.0 2B Instructwon 6 · lost 2
Granite 3.1 2B Instructwon 6 · lost 2
Phi-3 Medium 4K Instructwon 6 · lost 2
Gemma 2 9B ITwon 6 · lost 2
Grok 3won 6 · lost 3
Llama 3.1 8B Instructwon 7 · lost 4
Llama 4 Scout Instructwon 7 · lost 4
Command Awon 7 · lost 4
DeepSeek V3won 7 · lost 4
DeepSeek R1won 7 · lost 4
Gemma 4 31Bwon 7 · lost 4
Gemma 4 E2Bwon 5 · lost 3
Magistral Small 1.2won 5 · lost 3
Granite 3.2 8B Instructwon 5 · lost 3
Gemma 4 12Bwon 5 · lost 3
Command R7Bwon 5 · lost 3
Ling 3.0 Flashwon 5 · lost 3
Ling 3.0 Flash VLwon 5 · lost 3
Granite 3.0 8B Instructwon 5 · lost 3
Gemma 2 2B ITwon 5 · lost 3
Gemini 1.5 Flashwon 5 · lost 3
Llama 3.1 405B Instructwon 5 · lost 3
GLM-4.5won 5 · lost 3
Llama 3.2 1B Instructwon 6 · lost 4
Granite 3.1 8B Instructwon 6 · lost 4
Qwen3 30B A3B Instructwon 6 · lost 4
MiMo V2.6 Flashwon 6 · lost 4
Amazon Nova Litewon 5 · lost 4
DeepSeek V3.1won 5 · lost 4
Amazon Nova Microwon 6 · lost 5
Amazon Nova Prowon 6 · lost 5
Gemma 3 27B ITwon 6 · lost 5
Grok 4.1 Fastwon 6 · lost 5
Gemma 4 26B A4Bwon 6 · lost 5
Gemini 2.5 Prowon 6 · lost 5
Kimi K2.7 Codewon 4 · lost 4
Grok Build 0.1won 4 · lost 4
Phi-3 Small 8K Instructwon 4 · lost 4
Llama 3.1 Tulu 3 8Bwon 4 · lost 4
Llama 3 8B Instructwon 4 · lost 4
Claude 3 Haikuwon 4 · lost 4
Gemini 2.0 Flash-Litewon 4 · lost 4
Qwen3 8Bwon 5 · lost 5
GPT OSS 20Bwon 5 · lost 5
Grok 4won 5 · lost 5
NVIDIA Nemotron 3 Ultra 550B A55Bwon 5 · lost 5
DeepSeek V4 Flashwon 5 · lost 5
Grok 4.3won 5 · lost 5
Llama 3.3 70B Instructwon 6 · lost 6
GLM-4.6won 6 · lost 6
Mercury 2won 5 · lost 6
Gemini 2.5 Flashwon 5 · lost 6
Kimi K2.5won 5 · lost 6
Kimi K2.6won 5 · lost 6
DeepSeek V4 Prowon 5 · lost 6
Granite 4.0 H Smallwon 4 · lost 5
Llama 4 Maverick Instructwon 5 · lost 7
DeepSeek V3.2won 5 · lost 7
Mistral Large 4won 4 · lost 6
MiniMax M3won 4 · lost 6
Qwen3.7 Maxwon 4 · lost 6
GLM-5.3 Flashwon 4 · lost 6
GLM-5.2won 4 · lost 6
Gemini 3.5 Flashwon 4 · lost 6
Gemini 3.6 Flashwon 4 · lost 6
Phi-3 Mini 128K Instructwon 3 · lost 5
Llama 2 13B Chatwon 3 · lost 5
Llama 2 70B Chatwon 3 · lost 5
Llama 3 70B Instructwon 3 · lost 5
Llama 3.1 Nemotron 70B Instructwon 3 · lost 5
Qwen2.5 72B Instructwon 3 · lost 5
O1 Miniwon 3 · lost 5
Gemini 1.5 Prowon 3 · lost 5
Gemini 2.0 Flashwon 3 · lost 5
Qwen3 VL 235B A22B Instructwon 3 · lost 5
GPT-4.1 nanowon 4 · lost 7
GPT-5 nanowon 4 · lost 7
Kimi K2won 4 · lost 7
Aya Expanse 8Bwon 3 · lost 6
Aya Expanse 32Bwon 3 · lost 6
Qwen3.5 27Bwon 3 · lost 6
Claude Sonnet 4.6won 3 · lost 6
GPT-4won 3 · lost 7
Claude 3.5 Haikuwon 3 · lost 7
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 7
MiMo V2.5 Prowon 3 · lost 7
Gemini 3.8 Flashwon 3 · lost 7
Phi 4won 3 · lost 8
GPT-4owon 3 · lost 8
GPT OSS 120Bwon 3 · lost 8
Qwen3.5 122B A10Bwon 3 · lost 8
Qwen3 235B A22B Instructwon 3 · lost 8
GPT-6 Solwon 3 · lost 8
GPT-5.4won 3 · lost 8
GPT-5.5won 3 · lost 8
GPT-5.6 Solwon 3 · lost 8
Llama 2 7B Chatwon 2 · lost 6
Qwen2 72B Instructwon 2 · lost 6
Claude 3 Sonnetwon 2 · lost 6
Gemma 2 27B ITwon 2 · lost 6
Qwen Maxwon 2 · lost 6
Claude 3 Opuswon 2 · lost 6
GPT-4 Turbowon 2 · lost 6
Gemini 3 Prowon 2 · lost 6
GPT-4o miniwon 2 · lost 7
O3 Miniwon 2 · lost 8
GPT-6 Lunawon 2 · lost 8
Qwen3.5 397B A17Bwon 2 · lost 8
GPT-5.6 Lunawon 2 · lost 8
GLM-5.1won 2 · lost 8
Grok 4.5won 2 · lost 8
GPT-5.6 Terrawon 2 · lost 8
MiMo V2.6 Prowon 2 · lost 8
Qwen3.8 Maxwon 2 · lost 8
Claude Opus 5won 2 · lost 8
GPT-4.1 miniwon 2 · lost 9
O4 Miniwon 2 · lost 9
Qwen3.5 35B A3Bwon 2 · lost 9
GPT-4.1won 2 · lost 9
GPT-5won 2 · lost 9
GPT-5.2won 2 · lost 9
GPT-5.1won 2 · lost 9
Claude Opus 5.5won 2 · lost 9
GPT-5 miniwon 2 · lost 10
Claude Haiku 4.5won 2 · lost 10
Claude Sonnet 4.5won 2 · lost 10
Qwen3 Next 80B A3B Thinkingwon 1 · lost 7
Claude 3.5 Sonnetwon 1 · lost 7
O1won 1 · lost 7
Claude 3.7 Sonnetwon 1 · lost 8
Claude Opus 4won 1 · lost 8
O3won 1 · lost 9
Hy3won 1 · lost 9
Grok 4.6won 1 · lost 9
Muse Spark 1.1won 1 · lost 9
Claude Sonnet 4won 1 · lost 10
MiniMax M2.7won 1 · lost 10
Claude Opus 4.7won 1 · lost 10
MiniMax M2won 0 · lost 8
Gemini 2.5 Flash-Litewon 0 · lost 8
Inklingwon 0 · lost 9
Grok 4.7won 0 · lost 10
Claude Sonnet 5won 0 · lost 10
Claude Opus 4.8won 0 · lost 10

§ 3 · Sources

Where the numbers come from

5 publications, 10 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1342
GDPval-AA ↗1 measureread 2026-11-11
GDPval-AA -401
BFCL ↗1 measureread 2026-11-11
BFCL v4 30.43%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 8%Enkrypt · Harmful content risk 47.2%Enkrypt · CBRN risk 9.3%Enkrypt · Toxicity risk 2%Enkrypt · Bias risk 86.8%Enkrypt · Insecure code risk 31.6%
Vectara Hallucination Leaderboard ↗1 measureread 2026-11-11
Vectara · Factual consistency 95.6%

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