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Hy3

Tencent · 299B · open weights

Strongest in Safety (#3 of 329, on 1 of its 3 boards), weakest in Toxicity avoidance (#119 of 268). Above par in 10 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Opus 4.7 and ahead of Qwen3.7 Max and Gemini 3.8 Flash.

§ 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.

Safety60.3#3/329
Harm refusal60.6#3/292
Jailbreak resistance63#10/268
Fairness64#25/292
Secure code61.9#46/270
Toxicity avoidance54.5#119/268
Human preference61.9#62/354
Human preference61.9#62/354
Agents51.6#107/298
Knowledge work52.5#83/208

§ 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 Hy3, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0
SmolLM 1.7B Instructwon 6 · lost 0
RakutenAI 7B Chatwon 6 · lost 0
PowerMoE 3Bwon 6 · lost 0
Phi 2won 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
PowerLM 3Bwon 6 · lost 0
Laguna Xs 2.1won 6 · lost 0
RakutenAI 7B Instructwon 6 · lost 0
GLM-4 9B Chatwon 6 · lost 0
SmolLM2 360M Instructwon 6 · lost 0
CodeLlama 7B Instructwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
Qwen2 7B Instructwon 6 · lost 0
Magistral Smallwon 6 · lost 0
Jamba Mini 1.7won 6 · lost 0
Aya 23 8Bwon 6 · lost 0
SEA LION V1 7B ITwon 6 · lost 0
H2o Danube3 4B Chatwon 6 · lost 0
Jamba 1.6 Miniwon 6 · lost 0
LFM2 700Mwon 6 · lost 0
Jamba Large 1.7won 6 · lost 0
NexusRaven V2 13Bwon 6 · lost 0
Qwen2.5 3B Instructwon 6 · lost 0
Aya 23 35Bwon 6 · lost 0
Jamba 1.6 Largewon 6 · lost 0
Jamba Instructwon 6 · lost 0
Qwen2.5 7B Instruct 1Mwon 6 · lost 0
SeaLLMs V3 7B Chatwon 6 · lost 0
DeepSeek Reasonerwon 6 · lost 0
Qwen2.5 1.5B Instructwon 6 · lost 0
WizardLM 2.8x22Bwon 6 · lost 0
Hunyuan A13B Instructwon 6 · lost 0
DeepSeek Chatwon 6 · lost 0
LongWriter Glm4 9Bwon 6 · lost 0
GLM-5 Turbowon 6 · lost 0
Qwen 2.5 Instruct (7B)won 6 · lost 0
Sarvam 30Bwon 6 · lost 0
GPT-5.6 Astrawon 6 · lost 0
K2 Chatwon 6 · lost 0
Krutrim 2 Instructwon 6 · lost 0
EAI SageAlign 8B LoRAwon 6 · lost 0
Internlm2 Chat 20Bwon 6 · lost 0
Gemini 2.5 Flash-Litewon 6 · lost 0
Gemma 4 12Bwon 7 · lost 0
Command R7Bwon 7 · lost 0
Jamba 1.5 Miniwon 7 · lost 0
QwQ 32Bwon 7 · lost 0
Phi-4 Mini Instructwon 8 · lost 0
Magistral Small 1.2won 8 · lost 0
OLMo 7B Instructwon 8 · lost 0
Gemma 2B ITwon 8 · lost 0
SmolLM2 1.7B Instructwon 8 · lost 0
Zephyr 7B Betawon 8 · lost 0
Gemma 7B ITwon 8 · lost 0
Phi-3 Mini 4K Instructwon 8 · lost 0
DeepSeek LLM 67B Chatwon 8 · lost 0
Qwen1.5 14B Chatwon 8 · lost 0
DBRX Instructwon 8 · lost 0
Mixtral 8x7B Instructwon 8 · lost 0
GPT-3.5 Turbowon 8 · lost 0
Amazon Nova Litewon 8 · lost 0
Gemma 2 9B ITwon 8 · lost 0
Command R+won 8 · lost 0
Jamba 1.5 Largewon 8 · lost 0
Llama 3.1 70B Instructwon 8 · lost 0
Magistral Mediumwon 8 · lost 0
Gemini 1.5 Flashwon 8 · lost 0
Gemini 1.5 Prowon 8 · lost 0
Gemini 2.0 Flash-Litewon 8 · lost 0
Gemini 2.0 Flashwon 8 · lost 0
GLM-4.5won 8 · lost 0
Grok 3won 8 · lost 0
DeepSeek V3.1won 8 · lost 0
Llama 3.2 3B Instructwon 9 · lost 0
Amazon Nova Prowon 9 · lost 0
Gemma 3 4B ITwon 9 · lost 0
GPT-4won 10 · lost 0
GPT-4.1 nanowon 10 · lost 0
O3 Miniwon 10 · lost 0
GPT-4.1 miniwon 10 · lost 0
DeepSeek V3won 10 · lost 0
Grok 4.3won 10 · lost 0
Gemini 2.5 Prowon 10 · lost 0
Gemma 4 31Bwon 10 · lost 0
Llama 3.1 8B Instructwon 9 · lost 1
GPT-4o miniwon 9 · lost 1
Llama 3.3 70B Instructwon 9 · lost 1
GPT OSS 20Bwon 9 · lost 1
Llama 4 Scout Instructwon 9 · lost 1
GPT-4owon 9 · lost 1
Gemma 3 12B ITwon 9 · lost 1
GPT OSS 120Bwon 9 · lost 1
Gemma 3 27B ITwon 9 · lost 1
GPT-5 miniwon 9 · lost 1
Claude Sonnet 4won 9 · lost 1
Qwen3.5 122B A10Bwon 9 · lost 1
DeepSeek R1won 9 · lost 1
DeepSeek V3.2won 9 · lost 1
GLM-4.6won 9 · lost 1
Gemma 4 26B A4Bwon 9 · lost 1
Llama 3.2 1B Instructwon 8 · lost 1
Amazon Nova Microwon 8 · lost 1
Phi 4won 8 · lost 1
Command Awon 8 · lost 1
Qwen3 30B A3B Instructwon 8 · lost 1
O4 Miniwon 8 · lost 1
Gemini 2.5 Flashwon 8 · lost 1
Grok 4won 8 · lost 1
GPT-4.1won 8 · lost 1
Grok 4.1 Fastwon 8 · lost 1
Gemma 4 E2Bwon 7 · lost 1
Qwen3 8Bwon 7 · lost 1
Ling 3.0 Flashwon 7 · lost 1
Llama 2 7B Chatwon 7 · lost 1
Llama 2 13B Chatwon 7 · lost 1
Llama 2 70B Chatwon 7 · lost 1
Starling LM 7B Betawon 7 · lost 1
Gemma 2 2B ITwon 7 · lost 1
Llama 3.1 Tulu 3 8Bwon 7 · lost 1
Aya Expanse 8Bwon 7 · lost 1
Llama 3 8B Instructwon 7 · lost 1
Mixtral 8x22B Instructwon 7 · lost 1
Claude 3 Haikuwon 7 · lost 1
Qwen2 72B Instructwon 7 · lost 1
Aya Expanse 32Bwon 7 · lost 1
Llama 3 70B Instructwon 7 · lost 1
Claude 3 Sonnetwon 7 · lost 1
Granite 4.0 H Smallwon 7 · lost 1
Qwen Maxwon 7 · lost 1
GPT-4 Turbowon 7 · lost 1
O1 Miniwon 7 · lost 1
Qwen3.5 27Bwon 7 · lost 1
Claude Opus 4won 7 · lost 1
LFM2 350Mwon 5 · lost 1
OLMo 2 7B Instructwon 5 · lost 1
Laguna S 2.1won 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Open Codestral Mambawon 5 · lost 1
LFM2 1.2Bwon 5 · lost 1
Yi 1.5 9B Chatwon 5 · lost 1
Sarvam 1won 5 · lost 1
Komodo 7B Basewon 5 · lost 1
IBM Granite 4.0 Microwon 5 · lost 1
Fuguwon 5 · lost 1
Apertus 8B Instructwon 5 · lost 1
Qwen2.5 32B Instructwon 5 · lost 1
Qwen2 VL 72Bwon 5 · lost 1
Qwen2.5 14B Instructwon 5 · lost 1
Kimi K2 Thinkingwon 5 · lost 1
SeaLLM 7B V2won 5 · lost 1
Apertus 70B Instructwon 5 · lost 1
Granite 4.0 H Microwon 5 · lost 1
Granite 4.0 H Tinywon 5 · lost 1
Phi 3.5 Mini Instructwon 5 · lost 1
Llama 3.2 Vision (11B)won 5 · lost 1
Titan Text Express V1won 5 · lost 1
Fugu Ultra V2won 5 · lost 1
Meta SecAlign 8Bwon 5 · lost 1
Mercury 2won 8 · lost 2
Qwen3.5 35B A3Bwon 8 · lost 2
Claude Haiku 4.5won 8 · lost 2
Mistral Large 4won 8 · lost 2
DeepSeek V4 Flashwon 8 · lost 2
GPT-6 Lunawon 8 · lost 2
MiMo V2.6 Flashwon 8 · lost 2
Kimi K2.5won 8 · lost 2
Claude 3.7 Sonnetwon 7 · lost 2
Kimi K2won 7 · lost 2
O3won 7 · lost 2
GPT-5.2won 7 · lost 2
Gemma 4 E4Bwon 6 · lost 2
Kimi K2.7 Codewon 6 · lost 2
Grok Build 0.1won 6 · lost 2
Gemma 2 27B ITwon 6 · lost 2
Qwen2.5 72B Instructwon 6 · lost 2
MiniMax M2won 6 · lost 2
O1won 6 · lost 2
GPT-5 nanowon 5 · lost 2
Claude 3.5 Haikuwon 7 · lost 3
MiniMax M2.7won 7 · lost 3
GPT-5won 7 · lost 3
MiniMax M3won 7 · lost 3
Qwen3.5 397B A17Bwon 7 · lost 3
Inklingwon 7 · lost 3
GPT-5.6 Lunawon 7 · lost 3
GPT-5.1won 7 · lost 3
Kimi K2.6won 7 · lost 3
MiMo V2.5 Prowon 7 · lost 3
Llama 3 8B Instruct RRwon 4 · lost 2
Nova Premierwon 4 · lost 2
Sarvam 105Bwon 4 · lost 2
Llama 3.2 Vision (90B)won 4 · lost 2
Cogito 671B V2 P1won 4 · lost 2
Apriel 1.5 15B Thinkerwon 4 · lost 2
Claude Opus 4.6won 4 · lost 2
Ling 3.0 Flash VLwon 5 · lost 3
Claude 3 Opuswon 5 · lost 3
GPT-6 Solwon 6 · lost 4
DeepSeek V4 Prowon 6 · lost 4
GLM-5.1won 6 · lost 4
Gemini 3.5 Flashwon 6 · lost 4
Gemini 3.6 Flashwon 6 · lost 4
Gemini 3.8 Flashwon 6 · lost 4
Qwen3.7 Maxwon 5 · lost 4
Gemini 3 Prowon 3 · lost 3
Claude Sonnet 4.6won 4 · lost 4
Grok 4.7won 5 · lost 5
Claude Sonnet 4.5won 5 · lost 5
Grok 4.5won 5 · lost 5
GPT-5.6 Terrawon 5 · lost 5
GLM-5.2won 5 · lost 5
MiMo V2.6 Prowon 5 · lost 5
GPT-5.5won 5 · lost 5
Qwen3.8 Maxwon 5 · lost 5
GPT-5.6 Solwon 5 · lost 5
Grok 4.6won 4 · lost 6
GLM-5.3 Flashwon 4 · lost 6
GPT-5.4won 4 · lost 6
Claude Opus 4.8won 4 · lost 6
Muse Spark 1.1won 4 · lost 6
Claude 3.5 Sonnetwon 3 · lost 5
Claude Opus 5.5won 3 · lost 6
Claude Opus 5won 3 · lost 7
Claude Opus 4.7won 3 · lost 7
Claude Sonnet 5won 2 · lost 7

§ 3 · Sources

Where the numbers come from

4 publications, 9 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1454
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1071
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 947
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 1.9%Enkrypt · Harmful content risk 7.2%Enkrypt · CBRN risk 0.5%Enkrypt · Toxicity risk 3.1%Enkrypt · Bias risk 56.1%Enkrypt · Insecure code risk 8.9%

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