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GLM-4 9B Chat

Z.ai · 9B

Strongest in Secure code (#134 of 274), weakest in Safety (#316 of 336). Above par in 1 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Opus 5.5 and ahead of Grok 3 and Falcon Mamba 7B 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.

Safety41.5#316/336
Secure code52.5#134/274
Fairness47.5#150/299
Harm refusal45.2#242/299
Toxicity avoidance26#259/272
Jailbreak resistance26#261/272

§ 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 GLM-4 9B Chat, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0
OLMo 7B Instruct Hfwon 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
PowerLM 3Bwon 5 · lost 1
Laguna Xs 2.1won 5 · lost 1
SmolLM 1.7B Instructwon 4 · lost 2
DBRX Instructwon 4 · lost 2
Gemma 7B Itwon 4 · lost 2
H2o Danube3 500M Chatwon 4 · lost 2
Smollm2 1.7B Instructwon 4 · lost 2
Qwen3 30B A3B Instructwon 4 · lost 2
Grok 3won 4 · lost 2
Grok 4.1 Fastwon 3 · lost 3
LFM2 350Mwon 3 · lost 3
RakutenAI 7B 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
Grok 4won 3 · lost 3
Gemma 2B Itwon 3 · lost 3
Magistral Smallwon 3 · lost 3
Zephyr 7B Betawon 3 · lost 3
Magistral Mediumwon 3 · lost 3
Command Awon 3 · lost 3
Open Mixtral 8x7bwon 3 · lost 3
Gemma 2 9B Itwon 3 · lost 3
SmolLM2 360M Instructwon 2 · lost 4
Qwen2 7B Instructwon 2 · lost 4
Aya 23 8Bwon 2 · lost 4
Laguna S 2.1won 2 · lost 4
SEA LION V1 7B ITwon 2 · lost 4
GPT-3.5 Turbowon 2 · lost 4
Grok Build 0.1won 2 · lost 4
H2o Danube3 4B Chatwon 2 · lost 4
DeepSeek R1won 2 · lost 4
Ling 3.0 Flash VLwon 2 · lost 4
Mimo V2.6 Flashwon 2 · lost 4
Gemini 3.6 Flashwon 2 · lost 4
Jamba 1.6 Miniwon 2 · lost 4
Command R7Bwon 2 · lost 4
DeepSeek V4 Flashwon 2 · lost 4
Command R Pluswon 2 · lost 4
Jamba Large 1.7won 2 · lost 4
SmolLM 360M Instructwon 2 · lost 4
Qwen3 8Bwon 2 · lost 4
Jamba 1.5 Largewon 2 · lost 4
GLM-5.2won 2 · lost 4
GLM-4.6won 2 · lost 4
Open Codestral Mambawon 2 · lost 4
Jamba 1.5 Miniwon 2 · lost 4
Qwen2.5 3B Instructwon 2 · lost 4
Aya 23 35Bwon 2 · lost 4
QwQ 32Bwon 2 · lost 4
Jamba 1.6 Largewon 2 · lost 4
GLM-4.5won 2 · lost 4
Yi 1.5 9B Chatwon 2 · lost 4
Jamba Instructwon 2 · lost 4
SeaLLMs V3 7B Chatwon 2 · lost 4
Mistral Smallwon 2 · lost 4
DeepSeek Reasonerwon 2 · lost 4
Qwen2.5 1.5B Instructwon 2 · lost 4
WizardLM 2.8x22Bwon 2 · lost 4
Llama 4 Scout Instructwon 2 · lost 4
Llama 3.2 3B Instructwon 2 · lost 4
IBM Granite 4.0 Microwon 2 · lost 4
Gemma 3 4B Itwon 2 · lost 4
Open Mixtral 8x22bwon 2 · lost 4
Llama 3.2 1B Instructwon 2 · lost 4
DeepSeek V4 Prowon 2 · lost 4
Qwen2.5 32B Instructwon 2 · lost 4
LongWriter Glm4 9Bwon 2 · lost 4
Qwen2.5 14B Instructwon 2 · lost 4
Gemma 3 27B Itwon 2 · lost 4
Llama 3 70B Chat HFwon 2 · lost 4
Gemma 3 12B Itwon 2 · lost 4
Apertus 70B Instructwon 2 · lost 4
Granite 4.0 H Tinywon 2 · lost 4
Phi 3.5 Mini Instructwon 2 · lost 4
Nova Prowon 2 · lost 4
Krutrim 2 Instructwon 2 · lost 4
Llama 3.1 Tulu 3 8Bwon 2 · lost 4
Nova Microwon 2 · lost 4
Llama 3 8B Chat Hfwon 2 · lost 4
Nova Litewon 2 · lost 4
Llama 3.2 Vision (11B)won 2 · lost 4
Claude Opus 4.6won 1 · lost 3
Claude Sonnet 4.6won 1 · lost 3
Llama 3.1 8B Instructwon 1 · lost 5
Qwen1.5 14B Chatwon 1 · lost 5
LFM2 700Mwon 1 · lost 5
NexusRaven V2 13Bwon 1 · lost 5
Ling 3.0 Flashwon 1 · lost 5
DeepSeek LLM 67B Chatwon 1 · lost 5
Gemini 3.5 Flashwon 1 · lost 5
Grok 4.3won 1 · lost 5
Phi-4 Mini Instructwon 1 · lost 5
DeepSeek V3won 1 · lost 5
LFM2 1.2Bwon 1 · lost 5
Gemma 4 E2Bwon 1 · lost 5
Kimi K2.6won 1 · lost 5
Gemma 4 E4Bwon 1 · lost 5
Sarvam 1won 1 · lost 5
Qwen3.7 Maxwon 1 · lost 5
Qwen2.5 7B Instruct 1Mwon 1 · lost 5
Kimi K2.5won 1 · lost 5
Komodo 7B Basewon 1 · lost 5
DeepSeek V3.2won 1 · lost 5
Kimi K2.7 Codewon 1 · lost 5
Gemma 4 12Bwon 1 · lost 5
Hunyuan A13B Instructwon 1 · lost 5
Gemini 2.0 Flash Litewon 1 · lost 5
Gemma 4 31Bwon 1 · lost 5
Starling Lm 7B Betawon 1 · lost 5
Gemini 1.5 Prowon 1 · lost 5
Gemini 2.5 Prowon 1 · lost 5
GLM-5.3 Flashwon 1 · lost 5
Gemma 4 26B A4Bwon 1 · lost 5
DeepSeek Chatwon 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
Gemini 2.0 Flashwon 1 · lost 5
Mimo V2.6 Prowon 1 · lost 5
SeaLLM 7B V2won 1 · lost 5
Granite 4.0 H Microwon 1 · lost 5
Llama 3 70B Instructwon 1 · lost 5
Mistral Largewon 1 · lost 5
K2 Chatwon 1 · lost 5
GPT-4.1 Nanowon 1 · lost 5
Phi 3 Mini 4k Instructwon 1 · lost 5
GPT-4o Miniwon 1 · lost 5
EAI SageAlign 8B LoRAwon 1 · lost 5
Qwen Maxwon 1 · lost 5
GPT-4won 1 · lost 5
Phi 3.5 MoE Instructwon 1 · lost 5
C4ai Aya Expanse 32Bwon 1 · lost 5
C4ai Aya Expanse 8Bwon 1 · lost 5
Titan Text Express V1won 1 · lost 5
Llama 2 70B Chat Hfwon 1 · lost 5
Llama 2 13B Chat Hfwon 1 · lost 5
Llama 3 8B Instruct RRwon 1 · lost 5
Claude 3.7 Sonnetwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
GPT-5.4won 1 · lost 5
Claude Haiku 4.5won 1 · lost 5
Claude Opus 4won 1 · lost 5
Claude Sonnet 4.5won 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
Phi 4won 1 · lost 5
Claude 3.5 Haikuwon 1 · lost 5
Claude 3.5 Sonnetwon 1 · lost 5
MiniMax M3won 0 · lost 6
DeepSeek V3p1won 0 · lost 6
Gemma 2 2B Itwon 0 · lost 6
Fuguwon 0 · lost 6
Mimo V2.5 Prowon 0 · lost 6
Apertus 8B Instructwon 0 · lost 6
GPT OSS 20Bwon 0 · lost 6
Gemini 2.5 Flashwon 0 · lost 6
Gemini 1.5 Flashwon 0 · lost 6
GPT-5.6 Astrawon 0 · lost 6
Kimi K2won 0 · lost 6
Kimi K2 Thinkingwon 0 · lost 6
GPT OSS Safeguard 20Bwon 0 · lost 6
Gemini 3.8 Flashwon 0 · lost 6
GPT-6 Solwon 0 · lost 6
GPT-5.6 Solwon 0 · lost 6
Qwen3.8 Maxwon 0 · lost 6
GLM-5.1won 0 · lost 6
Qwen3.5 35B A3Bwon 0 · lost 6
GPT-4.1 Miniwon 0 · lost 6
Qwen3.5 27Bwon 0 · lost 6
GPT-6 Lunawon 0 · lost 6
Qwen3.5 122B A10Bwon 0 · lost 6
O4 Miniwon 0 · lost 6
GPT-5.6 Lunawon 0 · lost 6
GPT OSS 120Bwon 0 · lost 6
Internlm2 Chat 20Bwon 0 · lost 6
Qwen2.5 72B Instructwon 0 · lost 6
Fugu Ultra V2won 0 · lost 6
Nova Premierwon 0 · lost 6
Granite 4.0 H Smallwon 0 · lost 6
Llama 2 7B Chat Hfwon 0 · lost 6
Grok 4.5won 0 · lost 6
GPT-5.5won 0 · lost 6
GPT-4owon 0 · lost 6
Qwen2 72B Instructwon 0 · lost 6
O3 Miniwon 0 · lost 6
Claude 3 Sonnetwon 0 · lost 6
GPT-4.1won 0 · lost 6
GPT-5.6 Terrawon 0 · lost 6
Cogito 671B V2 P1won 0 · lost 6
Claude Opus 4.7won 0 · lost 6
Gemma 2 27B Itwon 0 · lost 6
O1 Miniwon 0 · lost 6
Claude Sonnet 4won 0 · lost 6
Qwen3.5 397B A17Bwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
GPT-4 Turbowon 0 · lost 6
GPT-5.1won 0 · lost 6
Claude Opus 5won 0 · lost 6
O3won 0 · lost 6
GPT-5.2won 0 · lost 6
O1won 0 · lost 6
Grok 4.6won 0 · lost 6
GPT-5 Miniwon 0 · lost 6
MiniMax M2won 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
Grok 4.7won 0 · lost 6
Hy3won 0 · lost 6
MiniMax M2.7won 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 34%Enkrypt · Harmful content risk 51.7%Enkrypt · CBRN risk 17.7%Enkrypt · Toxicity risk 24.6%Enkrypt · Bias risk 81.7%Enkrypt · Insecure code risk 28.4%

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PublicAI Index badge for GLM-4 9B Chat[![PublicAI Index](https://publicai.io/model-index/badge?model=glm-4-9b-chat)](https://publicai.io/model-index/m/glm-4-9b-chat)