The LLM benchmark aggregator.

Phi 2

Microsoft

Strongest in Fairness (#58 of 290, on 1 of its 2 boards), weakest in Safety (#319 of 327). Above par in 1 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude 3.5 Sonnet and ahead of Mistral Instruct v0.1 (7B) and PowerMoE 3B.

§ 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.

Safety38.8−22.6#319/3271/3

Fairness56−14#58/2901/2

Secure code31.5−34.7#241/2681/1

Jailbreak resistance26−39#258/2661/1

Toxicity avoidance26−33#264/2661/1

Harm refusal41.7−19.8#266/2901/2

§ 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 Phi 2, left for the other.

RakutenAI 7B Chatwon 6 · lost 0

OLMo 7B Instructwon 5 · lost 1

PowerMoE 3Bwon 5 · lost 1

Mistral Instruct v0.1 (7B)won 4 · lost 2

OLMoE 1B-7B Instructwon 3 · lost 3

SmolLM 1.7B Instructwon 3 · lost 3

DBRX Instructwon 3 · lost 3

Laguna Xs 2.1won 3 · lost 3

LFM2 350Mwon 3 · lost 3

Grok 4won 3 · lost 3

DeepSeek R1won 3 · lost 3

Gemma 7B ITwon 2 · lost 4

H2o Danube3 500M Chatwon 2 · lost 4

PowerLM 3Bwon 2 · lost 4

SmolLM2 1.7B Instructwon 2 · lost 4

Qwen3 30B A3B Instructwon 2 · lost 4

Nous Hermes 2 Mixtral 8x7B DPOwon 2 · lost 4

Mistral Instruct v0.3 (7B)won 2 · lost 4

Qwen2.5 0.5B Instructwon 2 · lost 4

Magistral Smallwon 2 · lost 4

Jamba Mini 1.7won 2 · lost 4

OLMo 2 7B Instructwon 2 · lost 4

Gemma 2B ITwon 2 · lost 4

Mixtral 8x7B Instructwon 2 · lost 4

Grok 3won 2 · lost 4

Aya 23 8Bwon 2 · lost 4

Laguna S 2.1won 2 · lost 4

Falcon H1 0.5B Instructwon 2 · lost 4

SEA LION V1 7B ITwon 2 · lost 4

DeepSeek R1 Distill Qwen 7Bwon 2 · lost 4

DeepSeek R1 Distill Llama 8Bwon 2 · lost 4

H2o Danube3 4B Chatwon 2 · lost 4

Llama 3.1 70B Instructwon 2 · lost 4

Command R7Bwon 2 · lost 4

Command R+won 2 · lost 4

Jamba Large 1.7won 2 · lost 4

NexusRaven V2 13Bwon 2 · lost 4

Granite 3.2 8B Instructwon 2 · lost 4

Llama 4 Scout Instructwon 2 · lost 4

Llama 3.3 70B Instructwon 2 · lost 4

Gemini 1.5 Prowon 2 · lost 4

Claude Opus 4.6won 1 · lost 3

Claude Sonnet 4.6won 1 · lost 3

Grok 4.1 Fastwon 1 · lost 5

RakutenAI 7B Instructwon 1 · lost 5

Falcon Mamba 7B Instructwon 1 · lost 5

GLM-4 9B Chatwon 1 · lost 5

SmolLM2 360M Instructwon 1 · lost 5

CodeLlama 7B Instructwon 1 · lost 5

Qwen2 7B Instructwon 1 · lost 5

Magistral Small 1.2won 1 · lost 5

GPT-3.5 Turbowon 1 · lost 5

Grok Build 0.1won 1 · lost 5

Qwen1.5 14B Chatwon 1 · lost 5

Ling 3.0 Flash VLwon 1 · lost 5

MiMo V2.6 Flashwon 1 · lost 5

Zephyr 7B Betawon 1 · lost 5

Magistral Mediumwon 1 · lost 5

Gemini 3.6 Flashwon 1 · lost 5

Jamba 1.6 Miniwon 1 · lost 5

LFM2 700Mwon 1 · lost 5

DeepSeek V4 Flashwon 1 · lost 5

Command Awon 1 · lost 5

Ling 3.0 Flashwon 1 · lost 5

SmolLM 360M Instructwon 1 · lost 5

Jamba 1.5 Largewon 1 · lost 5

Gemma 2 9B ITwon 1 · lost 5

Qwen3 8Bwon 1 · lost 5

GLM-5.2won 1 · lost 5

Gemini 3.5 Flashwon 1 · lost 5

DeepSeek LLM 67B Chatwon 1 · lost 5

Mistral 7B Instruct v0.2won 1 · lost 5

NVIDIA Nemotron 3 Ultra 550B A55Bwon 1 · lost 5

GLM-4.6won 1 · lost 5

Mimo V2.6 Pro Ultraspeedwon 1 · lost 5

Phi-4 Mini Instructwon 1 · lost 5

Grok 4.3won 1 · lost 5

Jamba 1.5 Miniwon 1 · lost 5

Open Codestral Mambawon 1 · lost 5

DeepSeek V3won 1 · lost 5

Qwen2.5 3B Instructwon 1 · lost 5

Aya 23 35Bwon 1 · lost 5

NVIDIA Nemotron 3 Super 120B A12Bwon 1 · lost 5

MiniMax M3won 1 · lost 5

Granite 3.0 1B A400M Instructwon 1 · lost 5

QwQ 32Bwon 1 · lost 5

Jamba 1.6 Largewon 1 · lost 5

Gemma 4 E2Bwon 1 · lost 5

Mixtral 8x22B Instructwon 1 · lost 5

Kimi K2.6won 1 · lost 5

Qwen3.7 Maxwon 1 · lost 5

GLM-4.5won 1 · lost 5

Jamba Instructwon 1 · lost 5

Yi 1.5 9B Chatwon 1 · lost 5

Gemma 4 E4Bwon 1 · lost 5

Qwen2.5 7B Instruct 1Mwon 1 · lost 5

SeaLLMs V3 7B Chatwon 1 · lost 5

Kimi K2.5won 1 · lost 5

Qwen2.5 1.5B Instructwon 1 · lost 5

Komodo 7B Basewon 1 · lost 5

Mistral Small 3 24B Instructwon 1 · lost 5

DeepSeek V3.2won 1 · lost 5

Gemma 2 2B ITwon 1 · lost 5

WizardLM 2.8x22Bwon 1 · lost 5

Granite 3.1 2B Instructwon 1 · lost 5

Llama 3.2 3B Instructwon 1 · lost 5

Kimi K2.7 Codewon 1 · lost 5

IBM Granite 4.0 Microwon 1 · lost 5

Gemma 4 12Bwon 1 · lost 5

Hunyuan A13B Instructwon 1 · lost 5

Fuguwon 1 · lost 5

MiMo V2.5 Prowon 1 · lost 5

Mistral Large 4won 1 · lost 5

DeepSeek V3.1won 1 · lost 5

Granite 3.2 2B Instructwon 1 · lost 5

Gemini 2.0 Flash-Litewon 1 · lost 5

Granite 3.0 3B A800M Instructwon 1 · lost 5

Gemma 3 4B ITwon 1 · lost 5

Llama 3.1 8B Instructwon 1 · lost 5

Starling LM 7B Betawon 1 · lost 5

Gemma 4 31Bwon 1 · lost 5

Dolphin 2.5 Mixtral 8x7bwon 1 · lost 5

Granite 3.0 2B Instructwon 1 · lost 5

Mercury 2won 1 · lost 5

Gemma2 9B Cpt Sea Lionv3 Instructwon 1 · lost 5

Llama 3.1 405B Instructwon 1 · lost 5

Reflection Llama 3.1 70Bwon 1 · lost 5

Apertus 8B Instructwon 1 · lost 5

Llama 3.2 1B Instructwon 1 · lost 5

DeepSeek V4 Prowon 1 · lost 5

Gemma 4 26B A4Bwon 1 · lost 5

Qwen2.5 32B Instructwon 1 · lost 5

LongWriter Glm4 9Bwon 1 · lost 5

Qwen2.5 14B Instruct 1Mwon 1 · lost 5

Gemini 2.5 Flashwon 1 · lost 5

Gemini 1.5 Flashwon 1 · lost 5

Qwen2 VL 72Bwon 1 · lost 5

GLM-5 Turbowon 1 · lost 5

Granite 3.1 3B A800M Instructwon 1 · lost 5

Phi-3 Medium 4K Instructwon 1 · lost 5

Sarvam 30Bwon 1 · lost 5

Granite 3.1 8B Instructwon 1 · lost 5

Claude 3 Haikuwon 1 · lost 5

Qwen2.5 14B Instructwon 1 · lost 5

Qwen3 VL 235B A22B Instructwon 1 · lost 5

Gemini 2.0 Flashwon 1 · lost 5

Phi 3 Medium 128k Instructwon 1 · lost 5

Gemma 3 27B ITwon 1 · lost 5

Qwen2 57B A14B Instructwon 1 · lost 5

Smaug Llama 3 70B Instructwon 1 · lost 5

Phi 3 Small 128k Instructwon 1 · lost 5

Kimi K2won 1 · lost 5

Granite 3.0 8B Instructwon 1 · lost 5

MiMo V2.6 Prowon 1 · lost 5

Llama 3 8B Instructwon 1 · lost 5

GPT OSS Safeguard 20Bwon 1 · lost 5

Gemma 3 12B ITwon 1 · lost 5

SeaLLM 7B V2won 1 · lost 5

Apertus 70B Instructwon 1 · lost 5

Llama 4 Maverick Instructwon 1 · lost 5

Granite 4.0 H Microwon 1 · lost 5

GPT-6 Solwon 1 · lost 5

Granite 4.0 H Tinywon 1 · lost 5

Phi-3 Small 8K Instructwon 1 · lost 5

Llama 3 70B Instructwon 1 · lost 5

Phi-3 Mini 128K Instructwon 1 · lost 5

Phi 3.5 Mini Instructwon 1 · lost 5

K2 Chatwon 1 · lost 5

Llama 3.1 Tulu 3 8B SFTwon 1 · lost 5

GPT-4.1 nanowon 1 · lost 5

Phi-3 Mini 4K Instructwon 1 · lost 5

Amazon Nova Prowon 1 · lost 5

GPT-4o miniwon 1 · lost 5

GPT-5.6 Solwon 1 · lost 5

Llama 3.1 Tulu 3 8B DPOwon 1 · lost 5

Krutrim 2 Instructwon 1 · lost 5

Qwen3.8 Maxwon 1 · lost 5

Llama 3.1 Tulu 3 8Bwon 1 · lost 5

EAI SageAlign 8B LoRAwon 1 · lost 5

GLM-5.1won 1 · lost 5

Qwen3.5 35B A3Bwon 1 · lost 5

GPT-4.1 miniwon 1 · lost 5

Qwen Maxwon 1 · lost 5

GPT-4won 1 · lost 5

O4 Miniwon 1 · lost 5

Phi 3.5 MoE Instructwon 1 · lost 5

Amazon Nova Microwon 1 · lost 5

GPT-5.6 Lunawon 1 · lost 5

Amazon Nova Litewon 1 · lost 5

Aya Expanse 32Bwon 1 · lost 5

Aya Expanse 8Bwon 1 · lost 5

Llama 3.2 Vision (11B)won 1 · lost 5

Qwen3 235B A22B Instructwon 1 · lost 5

Titan Text Express V1won 1 · lost 5

Internlm2 Chat 20Bwon 1 · lost 5

Llama 2 13B Chatwon 1 · lost 5

Llama 2 70B Chatwon 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 Chatwon 1 · lost 5

Sarvam 105Bwon 1 · lost 5

Claude 3.7 Sonnetwon 1 · lost 5

GPT-4owon 1 · lost 5

GPT-5.4won 1 · lost 5

O3 Miniwon 1 · lost 5

Qwen2 72B Instructwon 1 · lost 5

Llama 3 8B Instruct MopeyMulewon 1 · lost 5

Claude 3 Sonnetwon 1 · lost 5

GPT-4.1won 1 · lost 5

Cogito 671B V2 P1won 1 · lost 5

Claude Opus 4.7won 1 · lost 5

Foundation Sec 8B Instructwon 1 · lost 5

O1 Miniwon 1 · lost 5

Meta SecAlign 8Bwon 1 · lost 5

Apriel 1.5 15B Thinkerwon 1 · lost 5

GPT-4 Turbowon 1 · lost 5

O3won 1 · lost 5

O1won 1 · lost 5

Phi 4won 1 · lost 5

LFM2 1.2Bwon 0 · lost 5

Llama 3.1 Nemotron 70B Instructwon 0 · lost 5

Sarvam 1won 0 · lost 6

GLM-5.3 Flashwon 0 · lost 6

Gemini 2.5 Prowon 0 · lost 6

GPT OSS 20Bwon 0 · lost 6

Qwen 2.5 Instruct (7B)won 0 · lost 6

GPT-5.6 Astrawon 0 · lost 6

Kimi K2 Thinkingwon 0 · lost 6

EAI Llama 3.1 8B Instruct SageAlignwon 0 · lost 6

Gemini 3.8 Flashwon 0 · lost 6

Qwen3.5 27Bwon 0 · lost 6

GPT-6 Lunawon 0 · lost 6

Qwen3.5 122B A10Bwon 0 · lost 6

GPT OSS 120Bwon 0 · lost 6

Fugu Ultra V2won 0 · lost 6

Grok 4.5won 0 · lost 6

GPT-5.5won 0 · lost 6

Claude Haiku 4.5won 0 · lost 6

Llama 3.2 Vision (90B)won 0 · lost 6

GPT-5.6 Terrawon 0 · lost 6

Claude Opus 4won 0 · lost 6

Qwen2.5 72B Instructwon 0 · lost 6

Claude Sonnet 4.5won 0 · lost 6

Gemma 2 27B ITwon 0 · lost 6

Claude Sonnet 4won 0 · lost 6

Qwen3.5 397B A17Bwon 0 · lost 6

GPT-5.1won 0 · lost 6

Mistral NeMo Minitron 8B Instructwon 0 · lost 6

Claude Opus 5won 0 · lost 6

GPT-5.2won 0 · lost 6

Grok 4.6won 0 · lost 6

GPT-5 miniwon 0 · lost 6

MiniMax M2won 0 · lost 6

MiniMax M2.7won 0 · lost 6

Claude 3.5 Haikuwon 0 · lost 6

GPT-5won 0 · lost 6

Claude Opus 5.5won 0 · lost 6

GPT-5 nanowon 0 · lost 6

Claude 3 Opuswon 0 · lost 6

Muse Spark 1.1won 0 · lost 6

Claude Opus 4.8won 0 · lost 6

Inklingwon 0 · lost 6

Grok 4.7won 0 · lost 6

Hy3won 0 · lost 6

Claude 3.5 Sonnetwon 0 · lost 6

Claude Sonnet 5won 0 · lost 6

§ 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 2026-11-11

Enkrypt · Jailbreak risk 36.4%Enkrypt · Harmful content risk 78.3%Enkrypt · CBRN risk 14.7%Enkrypt · Toxicity risk 43.6%Enkrypt · Bias risk 68.5%Enkrypt · Insecure code risk 71.1%

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