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Llama 3.2 3B Instruct

Meta · 3.2B · open weights

Strongest in Tool use (#71 of 81), weakest in Human preference (#309 of 354). Above par in 3 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 4.5 and GPT-5.2 and ahead of DeepSeek R1 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.

Safety48.9#207/327
Harm refusal53.9#87/290
Jailbreak resistance55.7#104/266
Toxicity avoidance52.4#163/266
Fairness42.9#235/290
Secure code32.5#235/268
Agents45.2#217/298
Tool use38.5#71/81
Human preference34.3#309/354
Human preference34.3#309/354

§ 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 3B Instruct, left for the other.

SmolLM 1.7B Instructwon 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
Nous Hermes 2 Mixtral 8x7B DPOwon 7 · lost 0
SmolLM2 1.7B Instructwon 8 · lost 0
OLMo 7B Instructwon 7 · lost 1
Gemma 2B ITwon 7 · 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
SmolLM2 360M Instructwon 5 · lost 1
CodeLlama 7B Instructwon 5 · lost 1
Qwen2.5 0.5B 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
NexusRaven V2 13Bwon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Open Codestral Mambawon 5 · lost 1
Qwen2.5 3B Instructwon 5 · lost 1
Granite 3.0 1B A400M Instructwon 5 · lost 1
Jamba Instructwon 5 · lost 1
Sarvam 1won 5 · lost 1
Zephyr 7B Betawon 6 · lost 2
Gemma 7B ITwon 6 · lost 2
Gemma 4 E2Bwon 5 · lost 2
Gemma 4 E4Bwon 5 · lost 2
Magistral Small 1.2won 5 · lost 2
PowerMoE 3Bwon 4 · lost 2
PowerLM 3Bwon 4 · lost 2
LFM2 350Mwon 4 · lost 2
RakutenAI 7B Instructwon 4 · lost 2
Falcon Mamba 7B Instructwon 4 · lost 2
GLM-4 9B Chatwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Magistral Smallwon 4 · lost 2
Jamba Mini 1.7won 4 · lost 2
Falcon H1 0.5B Instructwon 4 · lost 2
Jamba 1.6 Miniwon 4 · lost 2
LFM2 700Mwon 4 · lost 2
Jamba Large 1.7won 4 · lost 2
Jamba 1.6 Largewon 4 · lost 2
Qwen2.5 7B Instruct 1Mwon 4 · lost 2
Qwen2.5 1.5B Instructwon 4 · lost 2
Komodo 7B Basewon 4 · lost 2
Mistral 7B Instruct v0.2won 5 · lost 3
Granite 3.0 2B Instructwon 5 · lost 3
DBRX Instructwon 5 · lost 3
GPT-3.5 Turbowon 5 · lost 3
Command R+won 5 · lost 3
Llama 3.2 1B Instructwon 6 · lost 4
Phi-4 Mini Instructwon 4 · lost 3
Command R7Bwon 4 · lost 3
Grok Build 0.1won 4 · lost 3
Ling 3.0 Flash VLwon 4 · lost 3
DeepSeek V3won 5 · lost 4
DeepSeek R1won 5 · lost 4
Laguna Xs 2.1won 3 · lost 3
Mistral Instruct v0.3 (7B)won 3 · lost 3
OLMo 2 7B Instructwon 3 · lost 3
Laguna S 2.1won 3 · lost 3
Mimo V2.6 Pro Ultraspeedwon 3 · lost 3
Aya 23 35Bwon 3 · lost 3
LFM2 1.2Bwon 3 · lost 3
Yi 1.5 9B Chatwon 3 · lost 3
Hunyuan A13B Instructwon 3 · lost 3
Granite 3.0 3B A800M Instructwon 3 · lost 3
LongWriter Glm4 9Bwon 3 · lost 3
GLM-5 Turbowon 3 · lost 3
GPT-5.6 Astrawon 3 · lost 3
Fugu Ultra V2won 3 · lost 3
Qwen3 8Bwon 4 · lost 4
DeepSeek LLM 67B Chatwon 4 · lost 4
Qwen1.5 14B Chatwon 4 · lost 4
Mixtral 8x7B Instructwon 4 · lost 4
Gemma 2 2B ITwon 4 · lost 4
Jamba 1.5 Miniwon 4 · lost 4
Jamba 1.5 Largewon 4 · lost 4
Llama 3.1 70B Instructwon 4 · lost 4
Magistral Mediumwon 4 · lost 4
QwQ 32Bwon 4 · lost 4
Grok 3won 4 · lost 4
Gemma 3 4B ITwon 5 · lost 5
NVIDIA Nemotron 3 Ultra 550B A55Bwon 4 · lost 5
DeepSeek V4 Flashwon 4 · lost 5
Grok 4.3won 4 · lost 5
MiMo V2.6 Flashwon 4 · lost 5
Gemma 4 31Bwon 4 · lost 5
Kimi K2.6won 4 · lost 5
Gemini 3.6 Flashwon 4 · lost 5
Granite 3.2 8B Instructwon 3 · lost 4
Gemma 4 12Bwon 3 · lost 4
Ling 3.0 Flashwon 3 · lost 4
Command Awon 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 3.1 2B Instructwon 3 · lost 5
Gemma 2 9B ITwon 3 · lost 5
Mistral Small 3 24B Instructwon 3 · lost 5
Gemini 1.5 Flashwon 3 · lost 5
Gemini 1.5 Prowon 3 · lost 5
Gemini 2.0 Flash-Litewon 3 · lost 5
GLM-4.5won 3 · lost 5
Qwen3 VL 235B A22B Instructwon 3 · lost 5
DeepSeek V3.1won 3 · lost 5
WizardLM 2.8x22Bwon 2 · lost 4
IBM Granite 4.0 Microwon 2 · lost 4
Fuguwon 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
Qwen2.5 32B Instructwon 2 · lost 4
Qwen2.5 14B Instruct 1Mwon 2 · lost 4
Qwen2 VL 72Bwon 2 · lost 4
Granite 3.1 3B A800M Instructwon 2 · lost 4
Qwen 2.5 Instruct (7B)won 2 · lost 4
Sarvam 30Bwon 2 · lost 4
Qwen2 57B A14B Instructwon 2 · lost 4
Phi 3 Small 128k Instructwon 2 · lost 4
GPT OSS Safeguard 20Bwon 2 · lost 4
Kimi K2 Thinkingwon 2 · lost 4
EAI Llama 3.1 8B Instruct SageAlignwon 2 · lost 4
Apertus 70B Instructwon 2 · lost 4
Granite 4.0 H Microwon 2 · lost 4
K2 Chatwon 2 · lost 4
EAI SageAlign 8B LoRAwon 2 · lost 4
Phi 3.5 MoE Instructwon 2 · lost 4
Llama 3.3 70B Instructwon 3 · lost 6
Mercury 2won 3 · lost 6
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 6
MiniMax M3won 3 · lost 6
Gemma 4 26B A4Bwon 3 · lost 6
GPT-6 Lunawon 3 · lost 6
Gemini 2.5 Prowon 3 · lost 6
Kimi K2.5won 3 · lost 6
GPT-6 Solwon 3 · lost 6
DeepSeek V4 Prowon 3 · lost 6
Grok 4.5won 3 · lost 6
Qwen3.7 Maxwon 3 · lost 6
GLM-5.2won 3 · lost 6
Gemini 3.5 Flashwon 3 · lost 6
Qwen3.8 Maxwon 3 · lost 6
Llama 4 Scout Instructwon 3 · lost 7
GPT-4.1 nanowon 3 · lost 7
GPT-4.1 miniwon 3 · lost 7
Gemini 2.5 Flashwon 3 · lost 7
Kimi K2.7 Codewon 2 · lost 5
Llama 2 13B Chatwon 2 · lost 5
Mixtral 8x22B Instructwon 2 · lost 5
Llama 2 7B Chatwon 2 · lost 6
Phi-3 Small 8K Instructwon 2 · lost 6
Starling LM 7B Betawon 2 · lost 6
Llama 3.1 Nemotron 70B Instructwon 2 · lost 6
Gemini 2.0 Flashwon 2 · lost 6
Qwen3.5 27Bwon 2 · lost 6
GPT-4won 2 · lost 7
GPT-4o miniwon 2 · lost 7
GPT OSS 20Bwon 2 · lost 7
Gemma 3 12B ITwon 2 · lost 7
GPT OSS 120Bwon 2 · lost 7
O3 Miniwon 2 · lost 7
Qwen3.5 35B A3Bwon 2 · lost 7
Qwen3.5 122B A10Bwon 2 · lost 7
Mistral Large 4won 2 · lost 7
Qwen3.5 397B A17Bwon 2 · lost 7
GPT-5.6 Lunawon 2 · lost 7
GLM-5.1won 2 · lost 7
MiMo V2.5 Prowon 2 · lost 7
GPT-5.6 Terrawon 2 · lost 7
GLM-5.3 Flashwon 2 · lost 7
GPT-5.5won 2 · lost 7
GPT-5.6 Solwon 2 · lost 7
Claude Opus 5won 2 · lost 7
Gemini 3.8 Flashwon 2 · lost 7
Llama 3.1 8B Instructwon 2 · lost 8
Llama 4 Maverick Instructwon 2 · lost 8
Gemma 3 27B ITwon 2 · lost 8
Kimi K2won 2 · lost 8
Granite 3.2 2B Instructwon 1 · lost 5
Reflection Llama 3.1 70Bwon 1 · lost 5
Qwen2.5 14B Instructwon 1 · lost 5
Phi 3 Medium 128k Instructwon 1 · lost 5
Smaug Llama 3 70B Instructwon 1 · lost 5
SeaLLM 7B V2won 1 · lost 5
Granite 4.0 H Tinywon 1 · lost 5
Llama 3.1 Tulu 3 8B SFTwon 1 · lost 5
Llama 3.1 Tulu 3 8B DPOwon 1 · lost 5
Krutrim 2 Instructwon 1 · lost 5
Titan Text Express V1won 1 · lost 5
Nova Premierwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
Llama 3 8B Instruct MopeyMulewon 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Mistral NeMo Minitron 8B Instructwon 1 · lost 5
Qwen3 Next 80B A3B Thinkingwon 1 · lost 5
Gemini 2.5 Flash-Litewon 1 · lost 6
Gemini 3 Prowon 1 · lost 6
Granite 3.0 8B Instructwon 1 · lost 7
Phi-3 Medium 4K Instructwon 1 · lost 7
Llama 3.1 Tulu 3 8Bwon 1 · lost 7
Aya Expanse 8Bwon 1 · lost 7
Llama 3 8B Instructwon 1 · lost 7
Claude 3 Haikuwon 1 · lost 7
Aya Expanse 32Bwon 1 · lost 7
Llama 3 70B Instructwon 1 · lost 7
Granite 4.0 H Smallwon 1 · lost 7
Gemma 2 27B ITwon 1 · lost 7
Qwen2.5 72B Instructwon 1 · lost 7
Qwen Maxwon 1 · lost 7
Llama 3.1 405B Instructwon 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 8
GPT-4owon 1 · lost 8
Inklingwon 1 · lost 8
Grok 4.6won 1 · lost 8
MiMo V2.6 Prowon 1 · lost 8
Granite 3.1 8B Instructwon 1 · lost 9
GPT-5 miniwon 1 · lost 9
O4 Miniwon 1 · lost 9
GPT-4.1won 1 · lost 9
Qwen3 235B A22B Instructwon 1 · lost 9
O3won 1 · lost 9
Phi 3.5 Mini Instructwon 0 · lost 6
Llama 3.2 Vision (11B)won 0 · lost 6
Internlm2 Chat 20Bwon 0 · lost 6
Llama 3 8B Instruct RRwon 0 · lost 6
Llama 3.2 Vision (90B)won 0 · lost 6
Foundation Sec 8B Instructwon 0 · lost 6
Meta SecAlign 8Bwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
Claude Opus 4.6won 0 · lost 6
Claude Sonnet 4.6won 0 · lost 7
Llama 2 70B Chatwon 0 · lost 8
Amazon Nova Litewon 0 · lost 8
Qwen2 72B Instructwon 0 · lost 8
Claude 3 Sonnetwon 0 · lost 8
Claude 3 Opuswon 0 · lost 8
GPT-4 Turbowon 0 · lost 8
O1 Miniwon 0 · lost 8
MiniMax M2won 0 · lost 8
Claude 3.5 Sonnetwon 0 · lost 8
O1won 0 · lost 8
Claude Opus 4won 0 · lost 8
Claude 3.7 Sonnetwon 0 · lost 9
Claude Sonnet 4won 0 · lost 9
MiniMax M2.7won 0 · lost 9
GPT-5won 0 · lost 9
Grok 4.7won 0 · lost 9
Hy3won 0 · lost 9
GPT-5.1won 0 · lost 9
Claude Sonnet 5won 0 · lost 9
GPT-5.4won 0 · lost 9
Claude Opus 4.8won 0 · lost 9
Muse Spark 1.1won 0 · lost 9
Claude Opus 4.7won 0 · lost 9
Claude Opus 5.5won 0 · lost 9
Amazon Nova Microwon 0 · lost 10
Phi 4won 0 · lost 10
Amazon Nova Prowon 0 · lost 10
GPT-5 nanowon 0 · lost 10
Claude Haiku 4.5won 0 · lost 10
GPT-5.2won 0 · lost 10
Claude Sonnet 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 1167
BFCL ↗1 measureread 2026-11-11
BFCL v4 21.95%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 8%Enkrypt · Harmful content risk 15%Enkrypt · CBRN risk 14.3%Enkrypt · Toxicity risk 4.5%Enkrypt · Bias risk 88.9%Enkrypt · Insecure code risk 68.9%

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