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The LLM benchmark aggregator.

SmolLM 360M Instruct

Hugging Face

Strongest in Fairness (#2 of 299, on 1 of its 2 boards), weakest in Safety (#270 of 336). Above par in 1 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Mistral NeMo Minitron 8B Instruct and Claude Sonnet 5 and ahead of DeepSeek R1 and Qwen1.5 14B Chat.

§ 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.

Safety46.3#270/336
Fairness70#2/299
Jailbreak resistance46.5#203/272
Toxicity avoidance44.7#231/272
Harm refusal43.2#268/299
Secure code26#268/274

§ 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 SmolLM 360M Instruct, left for the other.

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

§ 3 · Sources

Where the numbers come from

1 publication, 6 figures. Every one links to the page it was read from.

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-27
Enkrypt · Jailbreak risk 15.7%Enkrypt · Harmful content risk 71.1%Enkrypt · CBRN risk 12.5%Enkrypt · Toxicity risk 10%Enkrypt · Bias risk 23.8%Enkrypt · Insecure code risk 90.2%

Badge

PublicAI Index badge for SmolLM 360M Instruct[![PublicAI Index](https://publicai.io/model-index/badge?model=smollm-360m-instruct)](https://publicai.io/model-index/m/smollm-360m-instruct)