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Gemma 2 9B It

Google · 9B

Strongest in Harm refusal (#38 of 300, on 1 of its 2 boards), weakest in Safety (#264 of 337). Above par in 2 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.7 and ahead of Llama 3.1 Instruct Turbo (70B) and Llama 3 8B 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.

Professional46.6#116/168
Legal42.3#123/151
Human preference44.2#247/342
Human preference44.2#247/342
Safety46.5#264/337
Harm refusal56.8#38/300
Jailbreak resistance52.6#150/272
Fairness46#174/300
Secure code33.5#238/274
Toxicity avoidance26#263/272

§ 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 2 9B It, left for the other.

Command Rwon 7 · lost 0
Gemma 2B Itwon 7 · lost 1
Smollm2 1.7B Instructwon 7 · lost 1
Nous Hermes 2 Mixtral 8x7b Dpowon 7 · lost 1
OLMoE 1B-7B Instructwon 5 · lost 1
OLMo 7B Instruct Hfwon 5 · lost 1
RakutenAI 7B Chatwon 5 · lost 1
SmolLM 1.7B Instructwon 5 · lost 1
Phi 2won 5 · lost 1
H2o Danube3 500M Chatwon 5 · lost 1
Ling 3.0 Flashwon 6 · lost 2
Zephyr 7B Betawon 6 · lost 2
DBRX Instructwon 6 · lost 2
GPT-3.5 Turbowon 6 · lost 2
Jamba 1.5 Miniwon 7 · lost 3
Mistral Instruct v0.1 (7B)won 4 · lost 2
PowerMoE 3Bwon 4 · lost 2
Qwen2.5 7B Instructwon 4 · lost 2
PowerLM 3Bwon 4 · lost 2
LFM2 350Mwon 4 · lost 2
Laguna Xs 2.1won 4 · lost 2
RakutenAI 7B Instructwon 4 · lost 2
Falcon Mamba 7B Instructwon 4 · lost 2
SmolLM2 360M Instructwon 4 · lost 2
CodeLlama 7B Instruct Hfwon 4 · lost 2
Qwen2.5 0.5B Instructwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Aya 23 8Bwon 4 · lost 2
Laguna S 2.1won 4 · lost 2
SEA LION V1 7B ITwon 4 · lost 2
Grok Build 0.1won 4 · lost 2
DeepSeek R1 Distill Qwen 7Bwon 4 · lost 2
DeepSeek R1 Distill Llama 8Bwon 4 · lost 2
H2o Danube3 4B Chatwon 4 · lost 2
Ling 3.0 Flash VLwon 4 · lost 2
Command R7Bwon 4 · lost 2
LFM2 700Mwon 4 · lost 2
SmolLM 360M Instructwon 4 · lost 2
NexusRaven V2 13Bwon 4 · lost 2
Qwen3 8Bwon 4 · lost 2
Open Mixtral 8x7bwon 4 · lost 2
Llama 3.2 1B Instructwon 5 · lost 3
Gemma 7B Itwon 5 · lost 3
Mistral 7B Instruct V0.2won 5 · lost 3
Llama 3.2 3B Instructwon 5 · lost 3
DeepSeek LLM 67B Chatwon 5 · lost 3
Qwen1.5 14B Chatwon 5 · lost 3
Llama 3.1 8B Instructwon 5 · lost 3
Llama 3 8B Instructwon 5 · lost 3
Llama 3.1 Instruct Turbo (70B)won 4 · lost 3
GLM-4 9B Chatwon 3 · lost 3
Mistral Instruct v0.3 (7B)won 3 · lost 3
Jamba Mini 1.7won 3 · lost 3
OLMo 2 7B Instructwon 3 · lost 3
Magistral Smallwon 3 · lost 3
Falcon H1 0.5B Instructwon 3 · lost 3
Jamba Large 1.7won 3 · lost 3
Granite 3.2 8B Instructwon 3 · lost 3
Nemotron 3 Ultra 550B A55Bwon 3 · lost 3
Phi-4 Mini Instructwon 3 · lost 3
Open Codestral Mambawon 3 · lost 3
Mimo V2.6 Pro Ultraspeedwon 3 · lost 3
Qwen2.5 3B Instructwon 3 · lost 3
Gemma 4 E2Bwon 3 · lost 3
Gemma 4 E4Bwon 3 · lost 3
Sarvam 1won 3 · lost 3
Qwen2.5 7B Instruct 1Mwon 3 · lost 3
Qwen2.5 1.5B Instructwon 3 · lost 3
Kimi K2.7 Codewon 3 · lost 3
Gemma 4 12Bwon 3 · lost 3
Qwen2.5 14B Instruct 1Mwon 3 · lost 3
GLM-5 Turbowon 3 · lost 3
Sarvam 30Bwon 3 · lost 3
Granite 4.0 H Microwon 3 · lost 3
Jamba 1.6 Miniwon 4 · lost 4
Phi 3 Mini 128k Instructwon 4 · lost 4
Phi 3 Mini 4k Instructwon 4 · lost 4
Granite 3.0 2B Instructwon 4 · lost 4
Phi 3 Small 8k Instructwon 4 · lost 4
Starling Lm 7B Betawon 4 · lost 4
Granite 3.1 2B Instructwon 4 · lost 4
Granite 3.0 8B Instructwon 4 · lost 4
Phi 3 Medium 4k Instructwon 4 · lost 4
Gemma 2 2B Itwon 4 · lost 4
Granite 3.1 8B Instructwon 4 · lost 4
Llama 3.1 Tulu 3 8Bwon 4 · lost 4
C4ai Aya Expanse 8Bwon 4 · lost 4
Nova Microwon 4 · lost 4
Nova Litewon 4 · lost 4
Magistral Mediumwon 4 · lost 4
Qwen3 30B A3B Instructwon 4 · lost 4
Command R Pluswon 5 · lost 5
DeepSeek R1won 5 · lost 5
Llama 3.1 Instruct Turbo (8B)won 3 · lost 4
Llama 3.2 Vision (11B)won 3 · lost 4
Jamba 1.5 Largewon 4 · lost 6
GPT OSS 20Bwon 4 · lost 6
GPT-4.1 Nanowon 4 · lost 6
Command Awon 4 · lost 6
Grok 3won 4 · lost 6
Grok 4.1 Fastwon 4 · lost 6
DeepSeek V4 Flashwon 4 · lost 6
Mimo V2.6 Flashwon 4 · lost 6
Jamba 1.6 Largewon 3 · lost 5
Llama 3.3 Instruct Turbo (70B)won 3 · lost 5
Claude 3 Haikuwon 3 · lost 5
Qwen2 72B Instructwon 3 · lost 5
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 5
Gemma 4 26B A4Bwon 3 · lost 5
LFM2 1.2Bwon 2 · lost 4
Granite 3.0 1B A400M Instructwon 2 · lost 4
DeepSeek V3p1won 2 · lost 4
Yi 1.5 9B Chatwon 2 · lost 4
Jamba Instructwon 2 · lost 4
SeaLLMs V3 7B Chatwon 2 · lost 4
DeepSeek Reasonerwon 2 · lost 4
Komodo 7B Basewon 2 · lost 4
WizardLM 2.8x22Bwon 2 · lost 4
IBM Granite 4.0 Microwon 2 · lost 4
Granite 3.2 2B Instructwon 2 · lost 4
Fuguwon 2 · lost 4
Granite 3.0 3B A800M Instructwon 2 · lost 4
Open Mixtral 8x22bwon 2 · lost 4
Dolphin 2.5 Mixtral 8x7bwon 2 · lost 4
Gemma2 9B Cpt Sea Lionv3 Instructwon 2 · lost 4
Apertus 8B Instructwon 2 · lost 4
DeepSeek Chatwon 2 · lost 4
Qwen2.5 32B Instructwon 2 · lost 4
Qwen2 VL 72Bwon 2 · lost 4
Granite 3.1 3B A800M Instructwon 2 · lost 4
Qwen2.5 14B Instructwon 2 · lost 4
Phi 3 Medium 128k Instructwon 2 · lost 4
Llama 3 70B Chat HFwon 2 · lost 4
GPT-5.6 Astrawon 2 · lost 4
Phi 3 Small 128k Instructwon 2 · lost 4
GPT OSS Safeguard 20Bwon 2 · lost 4
EAI Llama 3.1 8B Instruct SageAlignwon 2 · lost 4
SeaLLM 7B V2won 2 · lost 4
Granite 4.0 H Tinywon 2 · lost 4
Phi 3.5 Mini Instructwon 2 · lost 4
K2 Chatwon 2 · lost 4
Llama 3.1 Tulu 3 8B SFTwon 2 · lost 4
Llama 3.1 Tulu 3 8B DPOwon 2 · lost 4
Phi 3.5 MoE Instructwon 2 · lost 4
Llama 3 8B Chat Hfwon 2 · lost 4
Llama 3.1 Nemotron 70B Instruct HFwon 2 · lost 4
Titan Text Express V1won 2 · lost 4
Llama 2 70B Chat Hfwon 2 · lost 4
Nova Premierwon 2 · lost 4
Mistral Smallwon 3 · lost 6
Gemma 2 27B Itwon 3 · lost 7
Gemini 1.5 Flashwon 3 · lost 7
Llama 4 Scout Instructwon 3 · lost 7
Gemini 1.5 Prowon 3 · lost 7
Grok 4won 3 · lost 7
GLM-4.6won 3 · lost 7
Grok 4.3won 3 · lost 7
Gemma 4 31Bwon 3 · lost 7
GLM-5.2won 3 · lost 7
Gemini 3.6 Flashwon 3 · lost 7
Llama 3.1 Instruct Turbo (405B)won 2 · lost 5
Qwen 2.5 Instruct Turbo (7B)won 2 · lost 6
Kimi K2 Thinkingwon 2 · lost 6
Phi 4won 2 · lost 6
C4ai Aya Expanse 32Bwon 2 · lost 6
Mistral Small 24B Instructwon 2 · lost 6
GPT-4won 2 · lost 6
Nova Prowon 2 · lost 6
Gemma 3 4B Itwon 2 · lost 6
QwQ 32Bwon 2 · lost 6
Gemma 3 12B Itwon 2 · lost 6
Gemini 2.0 Flash Litewon 2 · lost 6
Qwen3.5 35B A3Bwon 2 · lost 6
Qwen3.5 27Bwon 2 · lost 6
Qwen3 Vl 235B A22B Instructwon 2 · lost 6
Qwen3.5 122B A10Bwon 2 · lost 6
Qwen3.5 397B A17Bwon 2 · lost 6
Mistral Largewon 2 · lost 7
GPT-4o Miniwon 2 · lost 7
Llama 4 Maverick Instructwon 2 · lost 8
GPT-5 Nanowon 2 · lost 8
GPT OSS 120Bwon 2 · lost 8
Gemini 2.0 Flashwon 2 · lost 8
GPT-4.1 Miniwon 2 · lost 8
DeepSeek V3won 2 · lost 8
Gemini 2.5 Flashwon 2 · lost 8
GLM-4.5won 2 · lost 8
MiniMax M2.7won 2 · lost 8
Qwen3 235B A22B Instructwon 2 · lost 8
DeepSeek V3.2won 2 · lost 8
MiniMax M3won 2 · lost 8
GPT-6 Lunawon 2 · lost 8
Gemini 2.5 Prowon 2 · lost 8
Kimi K2.5won 2 · lost 8
GPT-6 Solwon 2 · lost 8
Kimi K2.6won 2 · lost 8
DeepSeek V4 Prowon 2 · lost 8
GLM-5.1won 2 · lost 8
Mimo V2.5 Prowon 2 · lost 8
GLM-5.3 Flashwon 2 · lost 8
Qwen3.7 Maxwon 2 · lost 8
GPT-5.4won 2 · lost 8
Gemini 3.5 Flashwon 2 · lost 8
Claude Opus 5won 2 · lost 8
Gemini 3.8 Flashwon 2 · lost 8
Aya 23 35Bwon 1 · lost 5
Hunyuan A13B Instructwon 1 · lost 5
Reflection Llama 3.1 70Bwon 1 · lost 5
LongWriter Glm4 9Bwon 1 · lost 5
Qwen2 57B A14B Instructwon 1 · lost 5
Smaug Llama 3 70B Instructwon 1 · lost 5
Apertus 70B Instructwon 1 · lost 5
Krutrim 2 Instructwon 1 · lost 5
EAI SageAlign 8B LoRAwon 1 · lost 5
Internlm2 Chat 20Bwon 1 · lost 5
Llama 2 13B Chat Hfwon 1 · lost 5
Fugu Ultra V2won 1 · lost 5
Granite 4.0 H Smallwon 1 · lost 5
Llama 2 7B Chat Hfwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
Llama 3.2 90B Vision Instruct Turbowon 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Foundation Sec 8B Instructwon 1 · lost 5
Apriel 1.5 15B Thinkerwon 1 · lost 5
Mistral NeMo Minitron 8B Instructwon 1 · lost 5
Gemini 2.5 Flash Litewon 1 · lost 6
Gemini 3 Prowon 1 · lost 6
Qwen 2.5 Instruct Turbo (72B)won 1 · lost 7
Llama 3 70B Instructwon 1 · lost 7
Qwen2.5 72B Instructwon 1 · lost 7
Qwen Maxwon 1 · lost 7
MiniMax M2won 1 · lost 7
Gemma 3 27B Itwon 1 · lost 7
Claude Sonnet 4.6won 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 9
GPT-4owon 1 · lost 9
Claude Sonnet 4won 1 · lost 9
Claude Haiku 4.5won 1 · lost 9
GPT-4.1won 1 · lost 9
Kimi K2won 1 · lost 9
Claude Opus 4won 1 · lost 9
Grok 4.7won 1 · lost 9
Grok 4.6won 1 · lost 9
GPT-5.6 Lunawon 1 · lost 9
Grok 4.5won 1 · lost 9
GPT-5.6 Terrawon 1 · lost 9
Qwen3.8 Maxwon 1 · lost 9
Mimo V2.6 Prowon 1 · lost 9
GPT-5.5won 1 · lost 9
GPT-5.6 Solwon 1 · lost 9
Llama 3 8B Instruct RRwon 0 · lost 6
Llama 3 8B Instruct MopeyMulewon 0 · lost 6
Meta SecAlign 8Bwon 0 · lost 6
Claude 3 Sonnetwon 0 · lost 8
Claude 3 Opuswon 0 · lost 8
Hy3won 0 · lost 8
Claude Opus 4.6won 0 · lost 8
O1 Miniwon 0 · lost 9
Claude 3.5 Sonnetwon 0 · lost 9
GPT-4 Turbowon 0 · lost 10
O3 Miniwon 0 · lost 10
Claude 3.7 Sonnetwon 0 · lost 10
GPT-5 Miniwon 0 · lost 10
O4 Miniwon 0 · lost 10
O1won 0 · lost 10
O3won 0 · lost 10
GPT-5won 0 · lost 10
GPT-5.2won 0 · lost 10
Inklingwon 0 · lost 10
GPT-5.1won 0 · lost 10
Claude Sonnet 4.5won 0 · lost 10
Claude Sonnet 5won 0 · lost 10
Claude Opus 4.8won 0 · lost 10
Muse Spark 1.1won 0 · lost 10
Claude Opus 4.7won 0 · lost 10
Claude Opus 5.5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

3 publications, 8 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1267
Vals.ai ↗1 measureread 2026-09-26
Vals · LegalBench 68.14%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 10.6%Enkrypt · Harmful content risk 18.9%Enkrypt · CBRN risk 4.8%Enkrypt · Toxicity risk 30%Enkrypt · Bias risk 84%Enkrypt · Insecure code risk 67.1%

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