The LLM benchmark aggregator.

Llama 3.2 3B Instruct

Meta · 3.2B · open weights

Strongest in Tool use (#71 of 81), weakest in Human preference (#296 of 342). Above par in 3 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Sonnet 4.5 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.

Agents43.6−24.5#205/2681/5

Tool use38.5−35.5#71/811/1

Safety49−12.5#209/3371/3

Harm refusal53.9−7.7#90/3001/2

Jailbreak resistance55.7−9.2#106/2721/1

Toxicity avoidance52.6−6.4#164/2721/1

Secure code32.6−33.9#241/2741/1

Fairness42.9−27.1#247/3001/2

Human preference34.6−32.9#296/3421/1

§ 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

Smollm2 1.7B Instructwon 8 · lost 0

Nous Hermes 2 Mixtral 8x7b Dpowon 8 · lost 0

Gemma 2B Itwon 7 · lost 1

OLMoE 1B-7B Instructwon 5 · lost 1

Mistral Instruct v0.1 (7B)won 5 · lost 1

OLMo 7B Instruct Hfwon 5 · lost 1

RakutenAI 7B Chatwon 5 · lost 1

Phi 2won 5 · lost 1

SmolLM2 360M Instructwon 5 · lost 1

CodeLlama 7B Instruct Hfwon 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

SmolLM 360M Instructwon 5 · lost 1

NexusRaven V2 13Bwon 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

SeaLLMs V3 7B Chatwon 5 · lost 1

Gemma 4 E4Bwon 6 · lost 2

Zephyr 7B Betawon 6 · lost 2

Gemma 7B Itwon 6 · lost 2

Gemma 4 E2Bwon 5 · lost 2

PowerMoE 3Bwon 4 · lost 2

Qwen2.5 7B Instructwon 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

Jamba Mini 1.7won 4 · lost 2

Magistral Smallwon 4 · lost 2

Falcon H1 0.5B Instructwon 4 · lost 2

Llama 3.1 Instruct Turbo (70B)won 4 · lost 2

Jamba 1.6 Miniwon 4 · lost 2

LFM2 700Mwon 4 · lost 2

Jamba Large 1.7won 4 · lost 2

Open Mixtral 8x7bwon 4 · lost 2

DeepSeek V3p1won 4 · lost 2

Jamba 1.6 Largewon 4 · lost 2

Qwen2.5 7B Instruct 1Mwon 4 · lost 2

DeepSeek Reasonerwon 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 Pluswon 5 · lost 3

Llama 3.2 1B Instructwon 6 · lost 4

Phi-4 Mini Instructwon 4 · lost 3

Nemotron 3 Ultra 550B A55Bwon 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

LFM2 1.2Bwon 3 · lost 3

Aya 23 35Bwon 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

DeepSeek Chatwon 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

Command R7Bwon 4 · lost 4

DeepSeek LLM 67B Chatwon 4 · lost 4

Qwen1.5 14B Chatwon 4 · lost 4

Llama 3 8B Instructwon 4 · lost 4

Jamba 1.5 Miniwon 4 · lost 4

Jamba 1.5 Largewon 4 · lost 4

Magistral Mediumwon 4 · lost 4

QwQ 32Bwon 4 · lost 4

Grok 3won 4 · lost 4

Mimo V2.6 Flashwon 4 · lost 4

Llama 3.1 8B Instructwon 5 · lost 5

Gemma 3 4B Itwon 5 · lost 5

DeepSeek V4 Flashwon 4 · lost 5

Grok 4.3won 4 · lost 5

Kimi K2.6won 4 · lost 5

Gemini 3.6 Flashwon 4 · lost 5

Gemma 4 12Bwon 3 · lost 4

Ling 3.0 Flashwon 3 · lost 4

Llama 4 Scout Instructwon 4 · lost 6

Command Awon 4 · lost 6

Mistral Smallwon 4 · lost 6

Qwen3 30B A3B Instructwon 4 · lost 6

Grok 4won 4 · lost 6

GLM-4.6won 4 · lost 6

DeepSeek V3.2won 4 · lost 6

Grok 4.1 Fastwon 4 · lost 6

Granite 3.2 8B Instructwon 3 · lost 5

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 2B Itwon 3 · lost 5

Gemma 2 9B Itwon 3 · lost 5

Mistral Small 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

WizardLM 2.8x22Bwon 2 · lost 4

IBM Granite 4.0 Microwon 2 · lost 4

Fuguwon 2 · lost 4

Llama 3.3 Instruct Turbo (70B)won 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

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 Turbo (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

Kimi K2 Thinkingwon 2 · lost 4

GPT OSS Safeguard 20Bwon 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 3.1 Nemotron 70B Instruct HFwon 2 · lost 4

NVIDIA Nemotron 3 Super 120B A12Bwon 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

Gemini 3.5 Flashwon 3 · lost 6

Qwen3.8 Maxwon 3 · lost 6

Mistral Largewon 3 · lost 7

GPT-4.1 Nanowon 3 · lost 7

Gemma 3 12B Itwon 3 · lost 7

GPT-4.1 Miniwon 3 · lost 7

Gemini 2.5 Flashwon 3 · lost 7

MiniMax M3won 3 · lost 7

Gemma 4 31Bwon 3 · lost 7

GLM-5.2won 3 · lost 7

Kimi K2.7 Codewon 2 · lost 5

Phi 3 Small 8k Instructwon 2 · lost 6

Starling Lm 7B Betawon 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

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

Gemma 4 26B A4Bwon 2 · lost 7

Qwen3.5 397B A17Bwon 2 · lost 7

GLM-5.1won 2 · lost 7

Mimo V2.5 Prowon 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 4 Maverick Instructwon 2 · lost 8

Gemma 3 27B Itwon 2 · lost 8

Kimi K2won 2 · lost 8

GPT-5.6 Lunawon 2 · lost 8

GPT-5.6 Terrawon 2 · lost 8

Granite 3.2 2B Instructwon 1 · lost 5

Llama 3.1 Instruct Turbo (8B)won 1 · lost 5

Llama 3.1 Instruct Turbo (405B)won 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

Llama 2 13B Chat Hfwon 1 · lost 5

Nova Premierwon 1 · lost 5

Granite 4.0 H Smallwon 1 · lost 5

Sarvam 105Bwon 1 · lost 5

Llama 3 8B Instruct MopeyMulewon 1 · lost 5

Cogito 671B V2 P1won 1 · lost 5

Qwen 2.5 Instruct Turbo (72B)won 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

Claude 3 Haikuwon 1 · lost 7

Llama 3 70B Instructwon 1 · lost 7

Gemma 2 27B Itwon 1 · lost 7

Qwen2.5 72B Instructwon 1 · lost 7

Qwen Maxwon 1 · lost 7

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

Llama 3 70B Chat HFwon 0 · lost 6

Phi 3.5 Mini Instructwon 0 · lost 6

Llama 3 8B Chat Hfwon 0 · lost 6

Llama 3.2 Vision (11B)won 0 · lost 6

Internlm2 Chat 20Bwon 0 · lost 6

Llama 2 70B Chat Hfwon 0 · lost 6

Llama 3 8B Instruct RRwon 0 · lost 6

Llama 2 7B Chat Hfwon 0 · lost 6

Llama 3.2 90B Vision Instruct Turbowon 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

C4ai Aya Expanse 8Bwon 0 · lost 8

Nova Litewon 0 · lost 8

Qwen2 72B Instructwon 0 · lost 8

C4ai Aya Expanse 32Bwon 0 · lost 8

Claude 3 Sonnetwon 0 · lost 8

Claude 3 Opuswon 0 · lost 8

GPT-4 Turbowon 0 · lost 8

GPT-4owon 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 3.5 Haikuwon 0 · lost 9

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

GPT-5.1won 0 · lost 9

Hy3won 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

Nova Microwon 0 · lost 10

Phi 4won 0 · lost 10

Nova Prowon 0 · lost 10

GPT-5 Nanowon 0 · lost 10

Claude Haiku 4.5won 0 · lost 10

GPT-5.2won 0 · lost 10

Inklingwon 0 · lost 10

Claude Sonnet 4.5won 0 · lost 10

Claude Sonnet 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 1167

BFCL ↗1 measureread 2026-09-26

BFCL v4 21.95%

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26

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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