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IBM Granite 4.0 Micro

IBM · 3.2B · open weights

Strongest in Toxicity avoidance (#30 of 272), weakest in Fairness (#268 of 299). Above par in 3 of 7 scopes. Among the models it meets almost everywhere, it finishes behind Claude 3.5 Sonnet and Claude 3 Opus and ahead of DeepSeek V3 and DeepSeek LLM 67B Chat.

§ 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.

Safety49.1#205/336
Toxicity avoidance58.1#30/272
Jailbreak resistance57.7#74/272
Safe-prompt compliance33.9#75/82
Harm refusal53.1#105/299
Secure code41.1#211/274
Fairness41.4#268/299

§ 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 IBM Granite 4.0 Micro, left for the other.

SmolLM 1.7B Instructwon 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
Smollm2 1.7B Instructwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
DeepSeek R1 Distill Llama 8Bwon 6 · lost 0
H2o Danube3 4B Chatwon 6 · lost 0
OLMoE 1B-7B Instructwon 7 · lost 0
Mistral Instruct v0.1 (7B)won 6 · lost 1
DBRX Instructwon 6 · lost 1
OLMo 7B Instruct Hfwon 5 · lost 1
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
LFM2 350Mwon 5 · lost 1
Qwen3 30B A3B Instructwon 5 · lost 1
RakutenAI 7B Instructwon 5 · lost 1
Nous Hermes 2 Mixtral 8x7b Dpowon 5 · lost 1
SmolLM2 360M Instructwon 5 · lost 1
CodeLlama 7B Instruct Hfwon 5 · lost 1
Jamba Mini 1.7won 5 · lost 1
Gemma 2B Itwon 5 · lost 1
Magistral Smallwon 5 · lost 1
Aya 23 8Bwon 5 · lost 1
SEA LION V1 7B ITwon 5 · lost 1
DeepSeek R1 Distill Qwen 7Bwon 5 · lost 1
Jamba 1.6 Miniwon 5 · lost 1
Command R7Bwon 5 · lost 1
LFM2 700Mwon 5 · lost 1
Command Awon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
NexusRaven V2 13Bwon 5 · lost 1
Qwen3 8Bwon 5 · lost 1
Jamba 1.5 Largewon 5 · lost 1
Granite 3.2 8B Instructwon 5 · lost 1
Mistral 7B Instruct V0.2won 5 · lost 1
Open Codestral Mambawon 5 · lost 1
LFM2 1.2Bwon 5 · lost 1
Granite 3.0 1B A400M Instructwon 5 · lost 1
Gemma 4 E2Bwon 5 · lost 1
QwQ 32Bwon 5 · lost 1
Yi 1.5 9B Chatwon 5 · lost 1
Gemma 4 E4Bwon 5 · lost 1
Sarvam 1won 5 · lost 1
Mistral Smallwon 5 · lost 1
Qwen2.5 1.5B Instructwon 5 · lost 1
Mistral Instruct v0.3 (7B)won 5 · lost 2
Grok 3won 5 · lost 2
GPT-3.5 Turbowon 5 · lost 2
DeepSeek R1won 5 · lost 2
Llama 3.1 Instruct Turbo (70B)won 5 · lost 2
Command R Pluswon 5 · lost 2
Llama 4 Scout Instructwon 5 · lost 2
Grok 4.1 Fastwon 4 · lost 2
Laguna Xs 2.1won 4 · lost 2
Falcon Mamba 7B Instructwon 4 · lost 2
GLM-4 9B Chatwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Laguna S 2.1won 4 · lost 2
Falcon H1 0.5B Instructwon 4 · lost 2
Llama 3.1 8B Instructwon 4 · lost 2
Grok Build 0.1won 4 · lost 2
Qwen1.5 14B Chatwon 4 · lost 2
Zephyr 7B Betawon 4 · lost 2
Ling 3.0 Flash VLwon 4 · lost 2
Mimo V2.6 Flashwon 4 · lost 2
Magistral Mediumwon 4 · lost 2
Gemini 3.6 Flashwon 4 · lost 2
DeepSeek V4 Flashwon 4 · lost 2
Jamba Large 1.7won 4 · lost 2
Ling 3.0 Flashwon 4 · lost 2
Open Mixtral 8x7bwon 4 · lost 2
Gemma 2 9B Itwon 4 · lost 2
GLM-5.2won 4 · lost 2
Gemini 3.5 Flashwon 4 · lost 2
Nemotron 3 Ultra 550B A55Bwon 4 · lost 2
GLM-4.6won 4 · lost 2
Grok 4.3won 4 · lost 2
Phi-4 Mini Instructwon 4 · lost 2
Mimo V2.6 Pro Ultraspeedwon 4 · lost 2
Jamba 1.5 Miniwon 4 · lost 2
Qwen2.5 3B Instructwon 4 · lost 2
Aya 23 35Bwon 4 · lost 2
NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 2
MiniMax M3won 4 · lost 2
DeepSeek V3p1won 4 · lost 2
Jamba 1.6 Largewon 4 · lost 2
GLM-4.5won 4 · lost 2
Kimi K2.6won 4 · lost 2
Jamba Instructwon 4 · lost 2
Qwen3.7 Maxwon 4 · lost 2
SeaLLMs V3 7B Chatwon 4 · lost 2
Qwen2.5 7B Instruct 1Mwon 4 · lost 2
Kimi K2.5won 4 · lost 2
DeepSeek Reasonerwon 4 · lost 2
Mistral Small 24B Instructwon 4 · lost 2
Komodo 7B Basewon 4 · lost 2
DeepSeek V3.2won 4 · lost 2
Granite 3.1 2B Instructwon 4 · lost 2
WizardLM 2.8x22Bwon 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
Llama 3.3 Instruct Turbo (70B)won 4 · lost 2
Gemma 4 31Bwon 4 · lost 2
Reflection Llama 3.1 70Bwon 4 · lost 2
OLMo 2 7B Instructwon 4 · lost 3
Grok 4won 4 · lost 3
DeepSeek LLM 67B Chatwon 4 · lost 3
DeepSeek V3won 4 · lost 3
Hunyuan A13B Instructwon 3 · lost 3
Fuguwon 3 · lost 3
Mimo V2.5 Prowon 3 · lost 3
Gemma 3 4B Itwon 3 · lost 3
Starling Lm 7B Betawon 3 · lost 3
Open Mixtral 8x22bwon 3 · lost 3
Gemma2 9B Cpt Sea Lionv3 Instructwon 3 · lost 3
GLM-5.3 Flashwon 3 · lost 3
Apertus 8B Instructwon 3 · lost 3
Llama 3.2 1B Instructwon 3 · lost 3
Gemma 4 26B A4Bwon 3 · lost 3
DeepSeek Chatwon 3 · lost 3
DeepSeek V4 Prowon 3 · lost 3
Qwen2.5 32B Instructwon 3 · lost 3
LongWriter Glm4 9Bwon 3 · lost 3
Qwen2.5 14B Instruct 1Mwon 3 · lost 3
Qwen2 VL 72Bwon 3 · lost 3
GLM-5 Turbowon 3 · lost 3
Phi 3 Medium 4k Instructwon 3 · lost 3
Sarvam 30Bwon 3 · lost 3
Qwen2.5 14B Instructwon 3 · lost 3
Qwen3 Vl 235B A22B Instructwon 3 · lost 3
Phi 3 Medium 128k Instructwon 3 · lost 3
Gemma 3 27B Itwon 3 · lost 3
Qwen2 57B A14B Instructwon 3 · lost 3
GPT-5.6 Astrawon 3 · lost 3
Phi 3 Small 128k Instructwon 3 · lost 3
Granite 3.0 8B Instructwon 3 · lost 3
Kimi K2 Thinkingwon 3 · lost 3
GPT OSS Safeguard 20Bwon 3 · lost 3
Gemini 3.8 Flashwon 3 · lost 3
EAI Llama 3.1 8B Instruct SageAlignwon 3 · lost 3
Gemma 3 12B Itwon 3 · lost 3
GPT-6 Solwon 3 · lost 3
Phi 3 Small 8k Instructwon 3 · lost 3
Mistral Largewon 3 · lost 3
Nova Prowon 3 · lost 3
Qwen3.8 Maxwon 3 · lost 3
GLM-5.1won 3 · lost 3
Qwen3.5 35B A3Bwon 3 · lost 3
Qwen3.5 27Bwon 3 · lost 3
GPT-6 Lunawon 3 · lost 3
Qwen3.5 122B A10Bwon 3 · lost 3
Phi 3.5 MoE Instructwon 3 · lost 3
Fugu Ultra V2won 3 · lost 3
Grok 4.5won 3 · lost 3
Qwen3.5 397B A17Bwon 3 · lost 3
Claude Opus 5won 3 · lost 3
Grok 4.6won 3 · lost 3
Gemini 2.0 Flash Litewon 3 · lost 4
Gemini 1.5 Prowon 3 · lost 4
Llama 3.1 Instruct Turbo (405B)won 3 · lost 4
Gemini 2.5 Prowon 3 · lost 4
Gemini 2.5 Flashwon 3 · lost 4
Gemini 1.5 Flashwon 3 · lost 4
Qwen 2.5 Instruct Turbo (7B)won 3 · lost 4
Gemini 2.0 Flashwon 3 · lost 4
Granite 3.2 2B Instructwon 2 · lost 4
Granite 3.0 3B A800M Instructwon 2 · lost 4
Dolphin 2.5 Mixtral 8x7bwon 2 · lost 4
Granite 3.0 2B Instructwon 2 · lost 4
Granite 3.1 3B A800M Instructwon 2 · lost 4
Smaug Llama 3 70B Instructwon 2 · lost 4
Llama 3 70B Chat HFwon 2 · lost 4
Mimo V2.6 Prowon 2 · lost 4
SeaLLM 7B V2won 2 · lost 4
Apertus 70B Instructwon 2 · lost 4
Granite 4.0 H Microwon 2 · lost 4
Phi 3 Mini 128k Instructwon 2 · lost 4
K2 Chatwon 2 · lost 4
Llama 3.1 Tulu 3 8B SFTwon 2 · lost 4
GPT-5.6 Solwon 2 · lost 4
EAI SageAlign 8B LoRAwon 2 · lost 4
Qwen Maxwon 2 · lost 4
Nova Microwon 2 · lost 4
GPT-5.6 Lunawon 2 · lost 4
Nova Litewon 2 · lost 4
Llama 3.1 Nemotron 70B Instruct HFwon 2 · lost 4
Nova Premierwon 2 · lost 4
GPT-5.5won 2 · lost 4
Sarvam 105Bwon 2 · lost 4
Llama 3.2 90B Vision Instruct Turbowon 2 · lost 4
GPT-5.6 Terrawon 2 · lost 4
Cogito 671B V2 P1won 2 · lost 4
Mistral NeMo Minitron 8B Instructwon 2 · lost 4
Llama 3.1 Instruct Turbo (8B)won 2 · lost 5
GPT OSS 20Bwon 2 · lost 5
Llama 3 8B Instructwon 2 · lost 5
Claude 3 Haikuwon 2 · lost 5
Kimi K2won 2 · lost 5
GPT-4.1 Nanowon 2 · lost 5
GPT-4o Miniwon 2 · lost 5
GPT-4.1 Miniwon 2 · lost 5
Qwen3 235B A22B Instructwon 2 · lost 5
GPT OSS 120Bwon 2 · lost 5
Claude 3.7 Sonnetwon 2 · lost 5
GPT-4.1won 2 · lost 5
Qwen 2.5 Instruct Turbo (72B)won 2 · lost 5
GPT-5.1won 2 · lost 5
Granite 3.1 8B Instructwon 1 · lost 5
Granite 4.0 H Tinywon 1 · lost 5
Phi 3.5 Mini Instructwon 1 · lost 5
Phi 3 Mini 4k Instructwon 1 · lost 5
Llama 3.1 Tulu 3 8B DPOwon 1 · lost 5
Krutrim 2 Instructwon 1 · lost 5
Llama 3.1 Tulu 3 8Bwon 1 · lost 5
GPT-4won 1 · lost 5
Llama 3 8B Chat Hfwon 1 · lost 5
C4ai Aya Expanse 32Bwon 1 · lost 5
C4ai Aya Expanse 8Bwon 1 · lost 5
Llama 3.2 Vision (11B)won 1 · lost 5
Titan Text Express V1won 1 · lost 5
Internlm2 Chat 20Bwon 1 · lost 5
Qwen2.5 72B Instructwon 1 · lost 5
Llama 3 8B Instruct RRwon 1 · lost 5
Granite 4.0 H Smallwon 1 · lost 5
GPT-5.4won 1 · lost 5
Llama 3 8B Instruct MopeyMulewon 1 · lost 5
Claude Opus 4.7won 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
GPT-5.2won 1 · lost 5
Phi 4won 1 · lost 5
MiniMax M2won 1 · lost 5
Claude 3.5 Haikuwon 1 · lost 5
Muse Spark 1.1won 1 · lost 5
Claude Opus 4.8won 1 · lost 5
Inklingwon 1 · lost 5
Grok 4.7won 1 · lost 5
Hy3won 1 · lost 5
MiniMax M2.7won 1 · lost 5
Claude Opus 5.5won 1 · lost 5
Llama 4 Maverick Instructwon 1 · lost 6
Llama 3 70B Instructwon 1 · lost 6
O4 Miniwon 1 · lost 6
GPT-4owon 1 · lost 6
O3 Miniwon 1 · lost 6
Claude Haiku 4.5won 1 · lost 6
Claude 3 Sonnetwon 1 · lost 6
Claude Opus 4won 1 · lost 6
Claude Sonnet 4.5won 1 · lost 6
O1 Miniwon 1 · lost 6
GPT-4 Turbowon 1 · lost 6
O3won 1 · lost 6
O1won 1 · lost 6
GPT-5 Miniwon 1 · lost 6
GPT-5won 1 · lost 6
GPT-5 Nanowon 1 · lost 6
Llama 2 70B Chat Hfwon 0 · lost 6
Llama 2 13B Chat Hfwon 0 · lost 6
Llama 2 7B Chat Hfwon 0 · lost 6
Foundation Sec 8B Instructwon 0 · lost 6
Gemma 2 27B Itwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
Claude Sonnet 5won 0 · lost 6
Qwen2 72B Instructwon 0 · lost 7
Claude Sonnet 4won 0 · lost 7
Claude 3 Opuswon 0 · lost 7
Claude 3.5 Sonnetwon 0 · lost 7

§ 3 · Sources

Where the numbers come from

2 publications, 11 figures. Every one links to the page it was read from.

HELM Safety ↗5 measuresread 2026-09-27
HELM Safety · HarmBench 69.5%HELM Safety · SimpleSafetyTests 94.5%HELM Safety · Anthropic Red Team 98.7%HELM Safety · BBQ 77.9%HELM Safety · XSTest 86.9%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-27
Enkrypt · Jailbreak risk 6.3%Enkrypt · Harmful content risk 11.1%Enkrypt · CBRN risk 9.8%Enkrypt · Toxicity risk 0.6%Enkrypt · Bias risk 85%Enkrypt · Insecure code risk 51.6%

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PublicAI Index badge for IBM Granite 4.0 Micro[![PublicAI Index](https://publicai.io/model-index/badge?model=ibm-granite-4-0-micro)](https://publicai.io/model-index/m/ibm-granite-4-0-micro)