Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Fugu Ultra V2

sakana

Strongest in Fairness (#27 of 299, on 1 of its 2 boards), weakest in Toxicity avoidance (#172 of 272). Above par in 6 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and MiniMax M2.7 and ahead of GPT OSS 120B and Qwen3 235B A22B 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.

Safety54.8#57/336
Fairness62.7#27/299
Secure code62.6#42/274
Jailbreak resistance53.5#140/272
Harm refusal50.3#152/299
Toxicity avoidance52.4#172/272

§ 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 Fugu Ultra V2, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0
Mistral Instruct v0.1 (7B)won 6 · lost 0
OLMo 7B Instruct Hfwon 6 · lost 0
RakutenAI 7B Chatwon 6 · lost 0
SmolLM 1.7B Instructwon 6 · lost 0
DBRX Instructwon 6 · lost 0
PowerMoE 3Bwon 6 · lost 0
Phi 2won 6 · lost 0
Qwen2.5 7B Instructwon 6 · lost 0
Gemma 7B Itwon 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
PowerLM 3Bwon 6 · lost 0
Smollm2 1.7B Instructwon 6 · lost 0
Grok 4.1 Fastwon 6 · lost 0
RakutenAI 7B Instructwon 6 · lost 0
Falcon Mamba 7B Instructwon 6 · lost 0
GLM-4 9B Chatwon 6 · lost 0
Nous Hermes 2 Mixtral 8x7b Dpowon 6 · lost 0
SmolLM2 360M Instructwon 6 · lost 0
CodeLlama 7B Instruct Hfwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
Qwen2 7B Instructwon 6 · lost 0
Jamba Mini 1.7won 6 · lost 0
Grok 3won 6 · lost 0
Magistral Smallwon 6 · lost 0
Falcon H1 0.5B Instructwon 6 · lost 0
GPT-3.5 Turbowon 6 · lost 0
Grok Build 0.1won 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
Jamba Large 1.7won 6 · lost 0
NexusRaven V2 13Bwon 6 · lost 0
Open Mixtral 8x7bwon 6 · lost 0
Jamba 1.5 Largewon 6 · lost 0
DeepSeek LLM 67B Chatwon 6 · lost 0
Grok 4.3won 6 · lost 0
Jamba 1.5 Miniwon 6 · lost 0
DeepSeek V3won 6 · lost 0
Qwen2.5 3B Instructwon 6 · lost 0
DeepSeek V3p1won 6 · lost 0
Jamba 1.6 Largewon 6 · lost 0
Kimi K2.6won 6 · lost 0
Qwen2.5 7B Instruct 1Mwon 6 · lost 0
Mistral Smallwon 6 · lost 0
DeepSeek Reasonerwon 6 · lost 0
DeepSeek V3.2won 6 · lost 0
Gemma 3 4B Itwon 6 · lost 0
Gemini 2.5 Flashwon 6 · lost 0
Qwen3 Vl 235B A22B Instructwon 6 · lost 0
GPT-5.6 Astrawon 6 · lost 0
LFM2 350Mwon 5 · lost 1
Qwen3 30B A3B Instructwon 5 · lost 1
Laguna Xs 2.1won 5 · lost 1
Grok 4won 5 · lost 1
Gemma 2B Itwon 5 · lost 1
Aya 23 8Bwon 5 · lost 1
Laguna S 2.1won 5 · lost 1
SEA LION V1 7B ITwon 5 · lost 1
Llama 3.1 8B Instructwon 5 · lost 1
H2o Danube3 4B Chatwon 5 · lost 1
DeepSeek R1won 5 · lost 1
Ling 3.0 Flash VLwon 5 · lost 1
Mimo V2.6 Flashwon 5 · lost 1
Gemini 3.6 Flashwon 5 · lost 1
Command R7Bwon 5 · lost 1
LFM2 700Mwon 5 · lost 1
Command R Pluswon 5 · lost 1
Command Awon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Ling 3.0 Flashwon 5 · lost 1
Qwen3 8Bwon 5 · lost 1
Gemma 2 9B Itwon 5 · lost 1
GLM-5.2won 5 · lost 1
Gemini 3.5 Flashwon 5 · lost 1
GLM-4.6won 5 · lost 1
Phi-4 Mini Instructwon 5 · lost 1
Open Codestral Mambawon 5 · lost 1
Mimo V2.6 Pro Ultraspeedwon 5 · lost 1
LFM2 1.2Bwon 5 · lost 1
Aya 23 35Bwon 5 · lost 1
MiniMax M3won 5 · lost 1
GLM-4.5won 5 · lost 1
Jamba Instructwon 5 · lost 1
Sarvam 1won 5 · lost 1
Qwen3.7 Maxwon 5 · lost 1
SeaLLMs V3 7B Chatwon 5 · lost 1
Qwen2.5 1.5B Instructwon 5 · lost 1
Gemma 4 12Bwon 5 · lost 1
Hunyuan A13B Instructwon 5 · lost 1
Fuguwon 5 · lost 1
Mimo V2.5 Prowon 5 · lost 1
Gemini 2.0 Flash Litewon 5 · lost 1
Gemma 4 31Bwon 5 · lost 1
Starling Lm 7B Betawon 5 · lost 1
Gemini 2.5 Prowon 5 · lost 1
Apertus 8B Instructwon 5 · lost 1
Gemma 4 26B A4Bwon 5 · lost 1
Qwen2.5 14B Instruct 1Mwon 5 · lost 1
Gemini 1.5 Flashwon 5 · lost 1
GLM-5 Turbowon 5 · lost 1
Llama 3 8B Instructwon 5 · lost 1
Qwen 2.5 Instruct Turbo (7B)won 5 · lost 1
Qwen2 57B A14B Instructwon 5 · lost 1
Kimi K2 Thinkingwon 5 · lost 1
EAI Llama 3.1 8B Instruct SageAlignwon 5 · lost 1
GPT-6 Solwon 5 · lost 1
Mistral Largewon 5 · lost 1
GPT-4.1 Miniwon 5 · lost 1
GPT-6 Lunawon 5 · lost 1
Claude Opus 4.6won 3 · lost 1
Claude Sonnet 4.6won 3 · lost 1
Mistral Instruct v0.3 (7B)won 4 · lost 2
OLMo 2 7B Instructwon 4 · lost 2
DeepSeek R1 Distill Qwen 7Bwon 4 · lost 2
DeepSeek R1 Distill Llama 8Bwon 4 · lost 2
Llama 3.1 Instruct Turbo (70B)won 4 · lost 2
Granite 3.2 8B Instructwon 4 · lost 2
Mistral 7B Instruct V0.2won 4 · lost 2
Nemotron 3 Ultra 550B A55Bwon 4 · lost 2
NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 2
Granite 3.0 1B A400M Instructwon 4 · lost 2
Gemma 4 E2Bwon 4 · lost 2
QwQ 32Bwon 4 · lost 2
Yi 1.5 9B Chatwon 4 · lost 2
Gemma 4 E4Bwon 4 · lost 2
Kimi K2.5won 4 · lost 2
Mistral Small 24B Instructwon 4 · lost 2
Komodo 7B Basewon 4 · lost 2
Granite 3.1 2B Instructwon 4 · lost 2
Llama 4 Scout Instructwon 4 · lost 2
Gemma 2 2B Itwon 4 · lost 2
Kimi K2.7 Codewon 4 · lost 2
Granite 3.2 2B Instructwon 4 · lost 2
Granite 3.0 3B A800M Instructwon 4 · lost 2
Llama 3.1 Instruct Turbo (8B)won 4 · lost 2
Open Mixtral 8x22bwon 4 · lost 2
Dolphin 2.5 Mixtral 8x7bwon 4 · lost 2
Granite 3.0 2B Instructwon 4 · lost 2
Gemma2 9B Cpt Sea Lionv3 Instructwon 4 · lost 2
GLM-5.3 Flashwon 4 · lost 2
GPT OSS 20Bwon 4 · lost 2
DeepSeek Chatwon 4 · lost 2
DeepSeek V4 Prowon 4 · lost 2
Qwen2.5 32B Instructwon 4 · lost 2
LongWriter Glm4 9Bwon 4 · lost 2
Qwen2 VL 72Bwon 4 · lost 2
Sarvam 30Bwon 4 · lost 2
Gemini 2.0 Flashwon 4 · lost 2
Gemma 3 27B Itwon 4 · lost 2
Kimi K2won 4 · lost 2
Gemini 3.8 Flashwon 4 · lost 2
Gemma 3 12B Itwon 4 · lost 2
Granite 4.0 H Microwon 4 · lost 2
K2 Chatwon 4 · lost 2
Qwen3.8 Maxwon 4 · lost 2
Krutrim 2 Instructwon 4 · lost 2
GLM-5.1won 4 · lost 2
EAI SageAlign 8B LoRAwon 4 · lost 2
GPT-4won 4 · lost 2
O4 Miniwon 4 · lost 2
Qwen3 235B A22B Instructwon 4 · lost 2
GPT OSS 120Bwon 4 · lost 2
WizardLM 2.8x22Bwon 3 · lost 3
Llama 3.2 3B Instructwon 3 · lost 3
IBM Granite 4.0 Microwon 3 · lost 3
Llama 3.3 Instruct Turbo (70B)won 3 · lost 3
Gemini 1.5 Prowon 3 · lost 3
Llama 3.1 Instruct Turbo (405B)won 3 · lost 3
Reflection Llama 3.1 70Bwon 3 · lost 3
Llama 3.2 1B Instructwon 3 · lost 3
Granite 3.1 3B A800M Instructwon 3 · lost 3
Phi 3 Medium 4k Instructwon 3 · lost 3
Granite 3.1 8B Instructwon 3 · lost 3
Claude 3 Haikuwon 3 · lost 3
Qwen2.5 14B Instructwon 3 · lost 3
Phi 3 Medium 128k Instructwon 3 · lost 3
Smaug Llama 3 70B Instructwon 3 · lost 3
Llama 3 70B Chat HFwon 3 · lost 3
Phi 3 Small 128k Instructwon 3 · lost 3
Granite 3.0 8B Instructwon 3 · lost 3
Mimo V2.6 Prowon 3 · lost 3
GPT OSS Safeguard 20Bwon 3 · lost 3
SeaLLM 7B V2won 3 · lost 3
Apertus 70B Instructwon 3 · lost 3
Llama 4 Maverick Instructwon 3 · lost 3
Granite 4.0 H Tinywon 3 · lost 3
Llama 3 70B Instructwon 3 · lost 3
Phi 3 Small 8k Instructwon 3 · lost 3
Phi 3 Mini 128k Instructwon 3 · lost 3
Phi 3.5 Mini Instructwon 3 · lost 3
Llama 3.1 Tulu 3 8B SFTwon 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
Llama 3.1 Tulu 3 8B DPOwon 3 · lost 3
Llama 3.1 Tulu 3 8Bwon 3 · lost 3
Qwen3.5 35B A3Bwon 3 · lost 3
Qwen Maxwon 3 · lost 3
Qwen3.5 27Bwon 3 · lost 3
Qwen3.5 122B A10Bwon 3 · lost 3
Phi 3.5 MoE Instructwon 3 · lost 3
Nova Microwon 3 · lost 3
Llama 3 8B Chat Hfwon 3 · lost 3
GPT-5.6 Lunawon 3 · lost 3
Nova Litewon 3 · lost 3
C4ai Aya Expanse 32Bwon 3 · lost 3
C4ai Aya Expanse 8Bwon 3 · lost 3
Llama 3.2 Vision (11B)won 3 · lost 3
Titan Text Express V1won 3 · lost 3
Internlm2 Chat 20Bwon 3 · lost 3
Qwen2.5 72B Instructwon 3 · lost 3
Llama 2 70B Chat Hfwon 3 · lost 3
Llama 2 13B Chat Hfwon 3 · lost 3
Granite 4.0 H Smallwon 3 · lost 3
Grok 4.5won 3 · lost 3
Llama 3 8B Instruct MopeyMulewon 3 · lost 3
GPT-4.1won 3 · lost 3
Llama 3.1 Nemotron 70B Instruct HFwon 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
Claude 3.7 Sonnetwon 2 · lost 4
GPT-4owon 2 · lost 4
Qwen2 72B Instructwon 2 · lost 4
O3 Miniwon 2 · lost 4
Claude Haiku 4.5won 2 · lost 4
Claude 3 Sonnetwon 2 · lost 4
GPT-5.6 Terrawon 2 · lost 4
Claude Opus 4won 2 · lost 4
Claude Opus 4.7won 2 · lost 4
Foundation Sec 8B Instructwon 2 · lost 4
O1 Miniwon 2 · lost 4
Claude Sonnet 4won 2 · lost 4
Meta SecAlign 8Bwon 2 · lost 4
GPT-4 Turbowon 2 · lost 4
O3won 2 · lost 4
O1won 2 · lost 4
Phi 4won 2 · lost 4
GPT-5 Miniwon 2 · lost 4
Sarvam 105Bwon 1 · lost 5
GPT-5.4won 1 · lost 5
Llama 3.2 90B Vision Instruct Turbowon 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Qwen 2.5 Instruct Turbo (72B)won 1 · lost 5
Claude Sonnet 4.5won 1 · lost 5
Gemma 2 27B Itwon 1 · lost 5
Qwen3.5 397B A17Bwon 1 · lost 5
Apriel 1.5 15B Thinkerwon 1 · lost 5
GPT-5.1won 1 · lost 5
Mistral NeMo Minitron 8B Instructwon 1 · lost 5
Claude Opus 5won 1 · lost 5
GPT-5.2won 1 · lost 5
MiniMax M2won 1 · lost 5
Claude 3.5 Haikuwon 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
Claude 3.5 Sonnetwon 1 · lost 5
Hy3won 1 · lost 5
Claude Sonnet 5won 1 · lost 5
Grok 4.6won 0 · lost 6
GPT-5won 0 · lost 6
Grok 4.7won 0 · lost 6
MiniMax M2.7won 0 · lost 6
Claude Opus 5.5won 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 9.8%Enkrypt · Harmful content risk 1.7%Enkrypt · CBRN risk 31%Enkrypt · Toxicity risk 4.6%Enkrypt · Bias risk 58.1%Enkrypt · Insecure code risk 8%

Badge

PublicAI Index badge for Fugu Ultra V2[![PublicAI Index](https://publicai.io/model-index/badge?model=fugu-ultra-v2)](https://publicai.io/model-index/m/fugu-ultra-v2)