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EAI SageAlign 8B LoRA

Enkrypt AI · 8B

Strongest in Harm refusal (#40 of 299, on 1 of its 2 boards), weakest in Toxicity avoidance (#174 of 272). Above par in 5 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Opus 5.5 and ahead of Llama 3.1 Tulu 3 8B and Krutrim 2 Instruct.

§ 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.

Safety53.2#94/336
Harm refusal56.6#40/299
Fairness48.5#133/299
Jailbreak resistance53.6#137/272
Secure code51.7#146/274
Toxicity avoidance52.4#174/272

§ 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 EAI SageAlign 8B LoRA, left for the other.

Claude Sonnet 4.6won 4 · lost 0
OLMoE 1B-7B Instructwon 6 · lost 0
OLMo 7B Instruct Hfwon 6 · lost 0
SmolLM 1.7B Instructwon 6 · lost 0
DBRX Instructwon 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
Smollm2 1.7B Instructwon 6 · lost 0
RakutenAI 7B Instructwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
Jamba Mini 1.7won 6 · lost 0
Gemma 2B Itwon 6 · lost 0
Magistral Smallwon 6 · lost 0
GPT-3.5 Turbowon 6 · lost 0
Llama 3.1 8B Instructwon 6 · lost 0
Qwen1.5 14B Chatwon 6 · lost 0
Zephyr 7B Betawon 6 · lost 0
Magistral Mediumwon 6 · lost 0
Jamba 1.6 Miniwon 6 · lost 0
DeepSeek V4 Flashwon 6 · lost 0
Open Mixtral 8x7bwon 6 · lost 0
Jamba 1.5 Largewon 6 · lost 0
Qwen2.5 3B Instructwon 6 · lost 0
Jamba 1.6 Largewon 6 · lost 0
Jamba Instructwon 6 · lost 0
Mistral Smallwon 6 · lost 0
DeepSeek Reasonerwon 6 · lost 0
Gemini 2.0 Flash Litewon 6 · lost 0
Gemma 3 4B Itwon 6 · lost 0
RakutenAI 7B Chatwon 5 · lost 1
PowerMoE 3Bwon 5 · lost 1
Phi 2won 5 · lost 1
Qwen2.5 7B Instructwon 5 · lost 1
Gemma 7B Itwon 5 · lost 1
PowerLM 3Bwon 5 · lost 1
Grok 4.1 Fastwon 5 · lost 1
LFM2 350Mwon 5 · lost 1
Qwen3 30B A3B Instructwon 5 · lost 1
Laguna Xs 2.1won 5 · lost 1
GLM-4 9B Chatwon 5 · lost 1
SmolLM2 360M Instructwon 5 · lost 1
Qwen2 7B Instructwon 5 · lost 1
Grok 3won 5 · lost 1
Aya 23 8Bwon 5 · lost 1
SEA LION V1 7B ITwon 5 · lost 1
Grok Build 0.1won 5 · lost 1
H2o Danube3 4B Chatwon 5 · lost 1
Mimo V2.6 Flashwon 5 · lost 1
Command R Pluswon 5 · lost 1
Command Awon 5 · lost 1
Jamba Large 1.7won 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
NexusRaven V2 13Bwon 5 · lost 1
Gemma 2 9B Itwon 5 · lost 1
DeepSeek LLM 67B Chatwon 5 · lost 1
Grok 4.3won 5 · lost 1
Open Codestral Mambawon 5 · lost 1
Jamba 1.5 Miniwon 5 · lost 1
DeepSeek V3won 5 · lost 1
Aya 23 35Bwon 5 · lost 1
Sarvam 1won 5 · lost 1
SeaLLMs V3 7B Chatwon 5 · lost 1
Qwen2.5 7B Instruct 1Mwon 5 · lost 1
Komodo 7B Basewon 5 · lost 1
Hunyuan A13B Instructwon 5 · lost 1
DeepSeek V4 Prowon 5 · lost 1
LongWriter Glm4 9Bwon 5 · lost 1
Llama 3 8B Instructwon 5 · lost 1
Mistral Largewon 5 · lost 1
Qwen3.8 Maxwon 5 · lost 1
OLMo 2 7B Instructwon 4 · lost 2
Grok 4won 4 · lost 2
Laguna S 2.1won 4 · lost 2
DeepSeek R1won 4 · lost 2
Ling 3.0 Flash VLwon 4 · lost 2
Gemini 3.6 Flashwon 4 · lost 2
Command R7Bwon 4 · lost 2
LFM2 700Mwon 4 · lost 2
Ling 3.0 Flashwon 4 · lost 2
Qwen3 8Bwon 4 · lost 2
GLM-5.2won 4 · lost 2
Gemini 3.5 Flashwon 4 · lost 2
GLM-4.6won 4 · lost 2
Phi-4 Mini Instructwon 4 · lost 2
LFM2 1.2Bwon 4 · lost 2
DeepSeek V3p1won 4 · lost 2
Gemma 4 E2Bwon 4 · lost 2
QwQ 32Bwon 4 · lost 2
GLM-4.5won 4 · lost 2
Kimi K2.6won 4 · lost 2
Yi 1.5 9B Chatwon 4 · lost 2
Gemma 4 E4Bwon 4 · lost 2
Kimi K2.5won 4 · lost 2
Qwen2.5 1.5B Instructwon 4 · lost 2
DeepSeek V3.2won 4 · lost 2
WizardLM 2.8x22Bwon 4 · lost 2
Llama 4 Scout Instructwon 4 · lost 2
Llama 3.2 3B Instructwon 4 · lost 2
Gemma 2 2B Itwon 4 · lost 2
Kimi K2.7 Codewon 4 · lost 2
Gemma 4 12Bwon 4 · lost 2
IBM Granite 4.0 Microwon 4 · lost 2
Gemma 4 31Bwon 4 · lost 2
Starling Lm 7B Betawon 4 · lost 2
Open Mixtral 8x22bwon 4 · lost 2
Gemini 2.5 Prowon 4 · lost 2
GLM-5.3 Flashwon 4 · lost 2
Apertus 8B Instructwon 4 · lost 2
GPT OSS 20Bwon 4 · lost 2
Llama 3.2 1B Instructwon 4 · lost 2
Gemma 4 26B A4Bwon 4 · lost 2
DeepSeek Chatwon 4 · lost 2
Qwen2.5 32B Instructwon 4 · lost 2
Gemini 2.5 Flashwon 4 · lost 2
Gemini 1.5 Flashwon 4 · lost 2
GLM-5 Turbowon 4 · lost 2
Sarvam 30Bwon 4 · lost 2
Qwen2.5 14B Instructwon 4 · lost 2
Gemini 2.0 Flashwon 4 · lost 2
Gemma 3 27B Itwon 4 · lost 2
Llama 3 70B Chat HFwon 4 · lost 2
GPT-5.6 Astrawon 4 · lost 2
Gemma 3 12B Itwon 4 · lost 2
Apertus 70B Instructwon 4 · lost 2
GPT-6 Solwon 4 · lost 2
Granite 4.0 H Microwon 4 · lost 2
Granite 4.0 H Tinywon 4 · lost 2
Phi 3.5 Mini Instructwon 4 · lost 2
K2 Chatwon 4 · lost 2
Krutrim 2 Instructwon 4 · lost 2
Llama 3.1 Tulu 3 8Bwon 4 · lost 2
Claude Opus 4.6won 2 · lost 2
MiniMax M3won 3 · lost 3
Qwen3.7 Maxwon 3 · lost 3
Fuguwon 3 · lost 3
Mimo V2.5 Prowon 3 · lost 3
Gemini 1.5 Prowon 3 · lost 3
Qwen2 VL 72Bwon 3 · lost 3
Kimi K2won 3 · lost 3
Mimo V2.6 Prowon 3 · lost 3
Kimi K2 Thinkingwon 3 · lost 3
GPT OSS Safeguard 20Bwon 3 · lost 3
Gemini 3.8 Flashwon 3 · lost 3
SeaLLM 7B V2won 3 · lost 3
Llama 3 70B Instructwon 3 · lost 3
GPT-4.1 Nanowon 3 · lost 3
Phi 3 Mini 4k Instructwon 3 · lost 3
Nova Prowon 3 · lost 3
GPT-4o Miniwon 3 · lost 3
GPT-5.6 Solwon 3 · lost 3
GLM-5.1won 3 · lost 3
Qwen3.5 35B A3Bwon 3 · lost 3
GPT-4.1 Miniwon 3 · lost 3
GPT-6 Lunawon 3 · lost 3
GPT-4won 3 · lost 3
Nova Litewon 3 · lost 3
Granite 4.0 H Smallwon 3 · lost 3
Grok 4.5won 3 · lost 3
Claude 3 Haikuwon 2 · lost 4
Qwen Maxwon 2 · lost 4
Qwen3.5 27Bwon 2 · lost 4
Qwen3.5 122B A10Bwon 2 · lost 4
Phi 3.5 MoE Instructwon 2 · lost 4
Nova Microwon 2 · lost 4
Llama 3 8B Chat Hfwon 2 · lost 4
GPT-5.6 Lunawon 2 · lost 4
C4ai Aya Expanse 32Bwon 2 · lost 4
C4ai Aya Expanse 8Bwon 2 · lost 4
Llama 3.2 Vision (11B)won 2 · lost 4
GPT OSS 120Bwon 2 · lost 4
Titan Text Express V1won 2 · lost 4
Llama 2 70B Chat Hfwon 2 · lost 4
Fugu Ultra V2won 2 · lost 4
Llama 3 8B Instruct RRwon 2 · lost 4
Nova Premierwon 2 · lost 4
Llama 2 7B Chat Hfwon 2 · lost 4
GPT-5.5won 2 · lost 4
GPT-5.4won 2 · lost 4
GPT-4.1won 2 · lost 4
GPT-5.6 Terrawon 2 · lost 4
Qwen3.5 397B A17Bwon 2 · lost 4
Claude Opus 5won 2 · lost 4
O4 Miniwon 1 · lost 5
Internlm2 Chat 20Bwon 1 · lost 5
Qwen2.5 72B Instructwon 1 · lost 5
Llama 2 13B Chat Hfwon 1 · lost 5
Claude 3.7 Sonnetwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
GPT-4owon 1 · lost 5
Qwen2 72B Instructwon 1 · lost 5
Claude Haiku 4.5won 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Claude Opus 4won 1 · lost 5
Claude Sonnet 4.5won 1 · lost 5
Gemma 2 27B Itwon 1 · lost 5
Claude Sonnet 4won 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
Apriel 1.5 15B Thinkerwon 1 · lost 5
O3won 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
Grok 4.7won 1 · lost 5
Claude 3.5 Sonnetwon 1 · lost 5
MiniMax M2.7won 1 · lost 5
O3 Miniwon 0 · lost 6
Claude 3 Sonnetwon 0 · lost 6
Claude Opus 4.7won 0 · lost 6
O1 Miniwon 0 · lost 6
GPT-4 Turbowon 0 · lost 6
GPT-5.1won 0 · lost 6
GPT-5.2won 0 · lost 6
O1won 0 · lost 6
GPT-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
Hy3won 0 · lost 6
Claude Opus 5.5won 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 2026-09-27
Enkrypt · Jailbreak risk 9.7%Enkrypt · Harmful content risk 7.2%Enkrypt · CBRN risk 11.5%Enkrypt · Toxicity risk 4.6%Enkrypt · Bias risk 80.1%Enkrypt · Insecure code risk 30.2%

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PublicAI Index badge for EAI SageAlign 8B LoRA[![PublicAI Index](https://publicai.io/model-index/badge?model=eai-sagealign-8b-lora)](https://publicai.io/model-index/m/eai-sagealign-8b-lora)