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Llama 3.2 1B Instruct

Meta · 1.2B · open weights

Strongest in Jailbreak resistance (#28 of 266), weakest in Human preference (#337 of 354). Above par in 4 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Haiku 4.5 and Phi 4 and ahead of Gemma 4 31B and DeepSeek V3.

§ 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.

Safety50.4#167/327
Jailbreak resistance61.5#28/266
Toxicity avoidance57.2#44/266
Harm refusal56.1#46/290
Secure code32.1#238/268
Fairness38.4#274/290
Agents41.8#268/298
Tool use30.4#79/81
Human preference28.9#337/354
Human preference28.9#337/354

§ 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 Llama 3.2 1B Instruct, left for the other.

SmolLM 1.7B Instructwon 6 · lost 0
Gemma 2B ITwon 7 · lost 0
OLMo 7B Instructwon 7 · lost 1
Gemma 4 E2Bwon 6 · lost 1
OLMoE 1B-7B Instructwon 5 · lost 1
Mistral Instruct v0.1 (7B)won 5 · lost 1
RakutenAI 7B Chatwon 5 · lost 1
Phi 2won 5 · lost 1
H2o Danube3 500M Chatwon 5 · lost 1
LFM2 350Mwon 5 · lost 1
SmolLM2 360M Instructwon 5 · lost 1
Qwen2.5 0.5B Instructwon 5 · lost 1
OLMo 2 7B Instructwon 5 · lost 1
Aya 23 8Bwon 5 · lost 1
SEA LION V1 7B ITwon 5 · lost 1
DeepSeek R1 Distill Qwen 7Bwon 5 · lost 1
DeepSeek R1 Distill Llama 8Bwon 5 · lost 1
H2o Danube3 4B Chatwon 5 · lost 1
LFM2 700Mwon 5 · lost 1
NexusRaven V2 13Bwon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Sarvam 1won 5 · lost 1
Komodo 7B Basewon 5 · lost 1
Phi-4 Mini Instructwon 5 · lost 2
PowerMoE 3Bwon 4 · lost 2
PowerLM 3Bwon 4 · lost 2
Laguna Xs 2.1won 4 · lost 2
RakutenAI 7B Instructwon 4 · lost 2
Falcon Mamba 7B Instructwon 4 · lost 2
GLM-4 9B Chatwon 4 · lost 2
Mistral Instruct v0.3 (7B)won 4 · lost 2
CodeLlama 7B Instructwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Magistral Smallwon 4 · lost 2
Jamba Mini 1.7won 4 · lost 2
Laguna S 2.1won 4 · lost 2
Falcon H1 0.5B Instructwon 4 · lost 2
Jamba 1.6 Miniwon 4 · lost 2
Jamba Large 1.7won 4 · lost 2
Mimo V2.6 Pro Ultraspeedwon 4 · lost 2
Open Codestral Mambawon 4 · lost 2
Qwen2.5 3B Instructwon 4 · lost 2
Aya 23 35Bwon 4 · lost 2
LFM2 1.2Bwon 4 · lost 2
Granite 3.0 1B A400M Instructwon 4 · lost 2
Jamba 1.6 Largewon 4 · lost 2
Jamba Instructwon 4 · lost 2
Qwen2.5 7B Instruct 1Mwon 4 · lost 2
SeaLLMs V3 7B Chatwon 4 · lost 2
Qwen2.5 1.5B Instructwon 4 · lost 2
WizardLM 2.8x22Bwon 4 · lost 2
Hunyuan A13B Instructwon 4 · lost 2
Fuguwon 4 · lost 2
Dolphin 2.5 Mixtral 8x7bwon 4 · lost 2
Gemma2 9B Cpt Sea Lionv3 Instructwon 4 · lost 2
Reflection Llama 3.1 70Bwon 4 · lost 2
DeepSeek R1won 6 · lost 3
Qwen3 8Bwon 5 · lost 3
Granite 3.2 8B Instructwon 5 · lost 3
Command R7Bwon 5 · lost 3
SmolLM2 1.7B Instructwon 5 · lost 3
Nous Hermes 2 Mixtral 8x7B DPOwon 5 · lost 3
GPT-3.5 Turbowon 5 · lost 3
Command R+won 5 · lost 3
Llama 3.1 70B Instructwon 5 · lost 3
Gemini 1.5 Prowon 5 · lost 3
Llama 4 Scout Instructwon 6 · lost 4
Gemma 4 E4Bwon 4 · lost 3
Magistral Small 1.2won 4 · lost 3
Gemma 4 12Bwon 4 · lost 3
Ling 3.0 Flashwon 4 · lost 3
Kimi K2.7 Codewon 4 · lost 3
Grok Build 0.1won 4 · lost 3
Ling 3.0 Flash VLwon 4 · lost 3
DeepSeek V3won 5 · lost 4
Gemma 4 31Bwon 5 · lost 4
Yi 1.5 9B Chatwon 3 · lost 3
IBM Granite 4.0 Microwon 3 · lost 3
Granite 3.2 2B Instructwon 3 · lost 3
Granite 3.0 3B A800M Instructwon 3 · lost 3
Apertus 8B Instructwon 3 · lost 3
Qwen2.5 32B Instructwon 3 · lost 3
LongWriter Glm4 9Bwon 3 · lost 3
Qwen2.5 14B Instruct 1Mwon 3 · lost 3
Qwen2 VL 72Bwon 3 · lost 3
GLM-5 Turbowon 3 · lost 3
Qwen 2.5 Instruct (7B)won 3 · lost 3
Sarvam 30Bwon 3 · lost 3
Qwen2.5 14B Instructwon 3 · lost 3
Phi 3 Medium 128k Instructwon 3 · lost 3
Qwen2 57B A14B Instructwon 3 · lost 3
Phi 3 Small 128k Instructwon 3 · lost 3
GPT-5.6 Astrawon 3 · lost 3
GPT OSS Safeguard 20Bwon 3 · lost 3
Kimi K2 Thinkingwon 3 · lost 3
EAI Llama 3.1 8B Instruct SageAlignwon 3 · lost 3
Phi 3.5 Mini Instructwon 3 · lost 3
K2 Chatwon 3 · lost 3
Llama 3.1 Tulu 3 8B SFTwon 3 · lost 3
Phi 3.5 MoE Instructwon 3 · lost 3
Internlm2 Chat 20Bwon 3 · lost 3
Nova Premierwon 3 · lost 3
Fugu Ultra V2won 3 · lost 3
Llama 3.2 Vision (90B)won 3 · lost 3
Llama 2 7B Chatwon 4 · lost 4
Zephyr 7B Betawon 4 · lost 4
Gemma 7B ITwon 4 · lost 4
Mistral 7B Instruct v0.2won 4 · lost 4
Starling LM 7B Betawon 4 · lost 4
DeepSeek LLM 67B Chatwon 4 · lost 4
Qwen1.5 14B Chatwon 4 · lost 4
DBRX Instructwon 4 · lost 4
Mixtral 8x7B Instructwon 4 · lost 4
Gemma 2 2B ITwon 4 · lost 4
Mixtral 8x22B Instructwon 4 · lost 4
Jamba 1.5 Miniwon 4 · lost 4
Mistral Small 3 24B Instructwon 4 · lost 4
Jamba 1.5 Largewon 4 · lost 4
Magistral Mediumwon 4 · lost 4
Llama 3.1 405B Instructwon 4 · lost 4
QwQ 32Bwon 4 · lost 4
Gemini 2.0 Flash-Litewon 4 · lost 4
GLM-4.5won 4 · lost 4
Grok 3won 4 · lost 4
DeepSeek V3.1won 4 · lost 4
Llama 3.3 70B Instructwon 5 · lost 5
Command Awon 5 · lost 5
Mercury 2won 4 · lost 5
NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 5
Mistral Large 4won 4 · lost 5
NVIDIA Nemotron 3 Ultra 550B A55Bwon 4 · lost 5
MiniMax M3won 4 · lost 5
DeepSeek V4 Flashwon 4 · lost 5
Grok 4.3won 4 · lost 5
Gemini 2.5 Prowon 4 · lost 5
MiMo V2.6 Flashwon 4 · lost 5
Kimi K2.5won 4 · lost 5
Kimi K2.6won 4 · lost 5
MiMo V2.5 Prowon 4 · lost 5
Qwen3.7 Maxwon 4 · lost 5
GLM-5.3 Flashwon 4 · lost 5
GLM-5.2won 4 · lost 5
Gemini 3.5 Flashwon 4 · lost 5
Gemini 3.6 Flashwon 4 · lost 5
Llama 3.2 3B Instructwon 4 · lost 6
Llama 3.1 8B Instructwon 4 · lost 6
Gemma 3 4B ITwon 4 · lost 6
Gemma 3 12B ITwon 4 · lost 6
Gemma 3 27B ITwon 4 · lost 6
Qwen3 30B A3B Instructwon 4 · lost 6
Grok 4won 4 · lost 6
DeepSeek V3.2won 4 · lost 6
GLM-4.6won 4 · lost 6
Grok 4.1 Fastwon 4 · lost 6
Phi-3 Mini 128K Instructwon 3 · lost 5
Phi-3 Mini 4K Instructwon 3 · lost 5
Granite 3.0 2B Instructwon 3 · lost 5
Phi-3 Small 8K Instructwon 3 · lost 5
Granite 3.1 2B Instructwon 3 · lost 5
Granite 3.0 8B Instructwon 3 · lost 5
Phi-3 Medium 4K Instructwon 3 · lost 5
Llama 3.1 Tulu 3 8Bwon 3 · lost 5
Llama 3 8B Instructwon 3 · lost 5
Gemma 2 9B ITwon 3 · lost 5
Aya Expanse 32Bwon 3 · lost 5
Llama 3.1 Nemotron 70B Instructwon 3 · lost 5
Qwen2.5 72B Instructwon 3 · lost 5
Gemini 1.5 Flashwon 3 · lost 5
Qwen Maxwon 3 · lost 5
Gemini 2.0 Flashwon 3 · lost 5
Qwen3.5 27Bwon 3 · lost 5
Qwen3 VL 235B A22B Instructwon 3 · lost 5
Granite 3.1 3B A800M Instructwon 2 · lost 4
Smaug Llama 3 70B Instructwon 2 · lost 4
SeaLLM 7B V2won 2 · lost 4
Apertus 70B Instructwon 2 · lost 4
Granite 4.0 H Microwon 2 · lost 4
Granite 4.0 H Tinywon 2 · lost 4
Llama 3.1 Tulu 3 8B DPOwon 2 · lost 4
EAI SageAlign 8B LoRAwon 2 · lost 4
Titan Text Express V1won 2 · lost 4
Sarvam 105Bwon 2 · lost 4
Llama 3 8B Instruct MopeyMulewon 2 · lost 4
Cogito 671B V2 P1won 2 · lost 4
Foundation Sec 8B Instructwon 2 · lost 4
Apriel 1.5 15B Thinkerwon 2 · lost 4
Mistral NeMo Minitron 8B Instructwon 2 · lost 4
GPT-4won 3 · lost 6
GPT-4o miniwon 3 · lost 6
GPT OSS 20Bwon 3 · lost 6
GPT-4owon 3 · lost 6
O3 Miniwon 3 · lost 6
Qwen3.5 35B A3Bwon 3 · lost 6
Qwen3.5 122B A10Bwon 3 · lost 6
Gemma 4 26B A4Bwon 3 · lost 6
GPT-6 Lunawon 3 · lost 6
Qwen3.5 397B A17Bwon 3 · lost 6
GPT-5.6 Lunawon 3 · lost 6
Grok 4.6won 3 · lost 6
GPT-6 Solwon 3 · lost 6
DeepSeek V4 Prowon 3 · lost 6
GLM-5.1won 3 · lost 6
Grok 4.5won 3 · lost 6
GPT-5.6 Terrawon 3 · lost 6
GPT-5.4won 3 · lost 6
MiMo V2.6 Prowon 3 · lost 6
GPT-5.5won 3 · lost 6
Qwen3.8 Maxwon 3 · lost 6
GPT-5.6 Solwon 3 · lost 6
Claude Opus 5won 3 · lost 6
Gemini 3.8 Flashwon 3 · lost 6
Amazon Nova Microwon 3 · lost 7
GPT-4.1 nanowon 3 · lost 7
Llama 4 Maverick Instructwon 3 · lost 7
GPT-4.1 miniwon 3 · lost 7
Gemini 2.5 Flashwon 3 · lost 7
Qwen3 235B A22B Instructwon 3 · lost 7
Llama 2 70B Chatwon 2 · lost 6
Aya Expanse 8Bwon 2 · lost 6
Amazon Nova Litewon 2 · lost 6
Claude 3 Haikuwon 2 · lost 6
Llama 3 70B Instructwon 2 · lost 6
Granite 4.0 H Smallwon 2 · lost 6
Gemma 2 27B ITwon 2 · lost 6
GPT-4 Turbowon 2 · lost 6
MiniMax M2won 2 · lost 6
GPT OSS 120Bwon 2 · lost 7
Grok 4.7won 2 · lost 7
Inklingwon 2 · lost 7
GPT-5.1won 2 · lost 7
Claude Opus 5.5won 2 · lost 7
Granite 3.1 8B Instructwon 2 · lost 8
Amazon Nova Prowon 2 · lost 8
O4 Miniwon 2 · lost 8
GPT-4.1won 2 · lost 8
Kimi K2won 2 · lost 8
GPT-5.2won 2 · lost 8
Claude Sonnet 4.5won 2 · lost 8
Krutrim 2 Instructwon 1 · lost 5
Llama 3 8B Instruct RRwon 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
Qwen3 Next 80B A3B Thinkingwon 1 · lost 5
Qwen2 72B Instructwon 1 · lost 6
Gemini 2.5 Flash-Litewon 1 · lost 6
Gemini 3 Prowon 1 · lost 6
Llama 2 13B Chatwon 1 · lost 7
O1 Miniwon 1 · lost 7
O1won 1 · lost 7
Claude Opus 4won 1 · lost 7
Claude Sonnet 4won 1 · lost 8
MiniMax M2.7won 1 · lost 8
GPT-5won 1 · lost 8
Hy3won 1 · lost 8
Muse Spark 1.1won 1 · lost 8
Claude Opus 4.7won 1 · lost 8
GPT-5 nanowon 1 · lost 9
GPT-5 miniwon 1 · lost 9
O3won 1 · lost 9
Claude Opus 4.6won 0 · lost 6
Claude Sonnet 4.6won 0 · lost 7
Claude 3 Sonnetwon 0 · lost 8
Claude 3 Opuswon 0 · lost 8
Claude 3.5 Sonnetwon 0 · lost 8
Claude 3.5 Haikuwon 0 · lost 9
Claude 3.7 Sonnetwon 0 · lost 9
Claude Sonnet 5won 0 · lost 9
Claude Opus 4.8won 0 · lost 9
Phi 4won 0 · lost 10
Claude Haiku 4.5won 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 2026-11-11
LMArena Text 1111
BFCL ↗1 measureread 2026-11-11
BFCL v4 10.82%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 3.2%Enkrypt · Harmful content risk 8.9%Enkrypt · CBRN risk 11.7%Enkrypt · Toxicity risk 1.2%Enkrypt · Bias risk 95.9%Enkrypt · Insecure code risk 69.8%

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