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Mistral Small 3 24B Instruct

Mistral · 24B · open weights

Strongest in Factual grounding (#11 of 104), weakest in Human preference (#252 of 354). Above par in 4 of 10 scopes. Among the models it meets almost everywhere, it finishes behind O1 and Claude 3.5 Sonnet and ahead of Kimi K2.5 and Grok 4.1 Fast.

§ 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.

Safety48.8#212/327
Factual grounding62.3#11/104
Safe-prompt compliance52.6#48/82
Fairness49.6#118/290
Toxicity avoidance53.9#129/266
Jailbreak resistance53.8#130/266
Secure code43.8#197/268
Harm refusal44.1#250/290
Human preference44.6#252/354
Human preference44.6#252/354

§ 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 Mistral Small 3 24B Instruct, left for the other.

H2o Danube3 500M Chatwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
Magistral Smallwon 6 · lost 0
Magistral Small 1.2won 6 · lost 0
Falcon H1 0.5B Instructwon 6 · lost 0
Command Rwon 6 · lost 0
OLMoE 1B-7B Instructwon 7 · lost 0
Mistral Instruct v0.1 (7B)won 7 · lost 0
Jamba Mini 1.7won 7 · lost 0
OLMo 7B Instructwon 8 · lost 0
Zephyr 7B Betawon 8 · lost 0
Nous Hermes 2 Mixtral 8x7B DPOwon 8 · lost 0
Mixtral 8x7B Instructwon 9 · lost 0
DBRX Instructwon 8 · lost 1
Gemma 2B ITwon 7 · lost 1
SmolLM2 1.7B Instructwon 7 · lost 1
Gemma 7B ITwon 7 · lost 1
Gemma 2 9B ITwon 7 · lost 1
SmolLM 1.7B Instructwon 5 · lost 1
RakutenAI 7B Chatwon 5 · lost 1
PowerMoE 3Bwon 5 · lost 1
Phi 2won 5 · lost 1
PowerLM 3Bwon 5 · lost 1
Laguna Xs 2.1won 5 · lost 1
LFM2 350Mwon 5 · lost 1
RakutenAI 7B Instructwon 5 · lost 1
Grok Build 0.1won 5 · lost 1
Jamba 1.6 Miniwon 5 · lost 1
Command R7Bwon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Open Codestral Mambawon 5 · lost 1
DeepSeek LLM 67B Chatwon 7 · lost 2
GPT-3.5 Turbowon 7 · lost 2
Qwen1.5 14B Chatwon 6 · lost 2
Jamba 1.5 Miniwon 6 · lost 2
Mistral Instruct v0.3 (7B)won 5 · lost 2
Jamba Large 1.7won 5 · lost 2
Phi-4 Mini Instructwon 5 · lost 2
Falcon Mamba 7B Instructwon 4 · lost 2
GLM-4 9B Chatwon 4 · lost 2
SmolLM2 360M Instructwon 4 · lost 2
CodeLlama 7B Instructwon 4 · lost 2
Qwen2 7B Instructwon 4 · lost 2
Aya 23 8Bwon 4 · lost 2
Laguna S 2.1won 4 · lost 2
SEA LION V1 7B ITwon 4 · lost 2
DeepSeek R1 Distill Llama 8Bwon 4 · lost 2
H2o Danube3 4B Chatwon 4 · lost 2
LFM2 700Mwon 4 · lost 2
NexusRaven V2 13Bwon 4 · lost 2
Mimo V2.6 Pro Ultraspeedwon 4 · lost 2
Qwen2.5 3B Instructwon 4 · lost 2
Jamba 1.6 Largewon 4 · lost 2
Gemma 4 E2Bwon 4 · lost 2
Jamba Instructwon 4 · lost 2
Sarvam 1won 4 · lost 2
Qwen2.5 7B Instruct 1Mwon 4 · lost 2
Qwen2.5 1.5B Instructwon 4 · lost 2
Komodo 7B Basewon 4 · lost 2
Command Awon 6 · lost 3
GLM-4.6won 6 · lost 3
Mistral 7B Instruct v0.2won 5 · lost 3
Llama 3.2 3B Instructwon 5 · lost 3
Jamba 1.5 Largewon 5 · lost 3
Magistral Mediumwon 5 · lost 3
Command R+won 6 · lost 4
Grok 3won 6 · lost 4
OLMo 2 7B Instructwon 4 · lost 3
Qwen3 8Bwon 4 · lost 3
Mixtral 8x22B Instructwon 5 · lost 4
Amazon Nova Litewon 5 · lost 4
Llama 3.1 70B Instructwon 5 · lost 4
Grok 4won 5 · lost 4
Grok 4.1 Fastwon 5 · lost 4
Kimi K2.5won 5 · lost 4
DeepSeek R1 Distill Qwen 7Bwon 3 · lost 3
Ling 3.0 Flash VLwon 3 · lost 3
Ling 3.0 Flashwon 3 · lost 3
Granite 3.2 8B Instructwon 3 · lost 3
Aya 23 35Bwon 3 · lost 3
LFM2 1.2Bwon 3 · lost 3
Granite 3.0 1B A400M Instructwon 3 · lost 3
Yi 1.5 9B Chatwon 3 · lost 3
Gemma 4 E4Bwon 3 · lost 3
SeaLLMs V3 7B Chatwon 3 · lost 3
WizardLM 2.8x22Bwon 3 · lost 3
Hunyuan A13B Instructwon 3 · lost 3
Fuguwon 3 · lost 3
Qwen2.5 14B Instruct 1Mwon 3 · lost 3
GLM-5 Turbowon 3 · lost 3
EAI Llama 3.1 8B Instruct SageAlignwon 3 · lost 3
EAI SageAlign 8B LoRAwon 3 · lost 3
Qwen1.5 72B Chatwon 3 · lost 3
OLMo 2 32B Instructwon 3 · lost 3
Llama 3.2 1B Instructwon 4 · lost 4
Phi-3 Mini 128K Instructwon 4 · lost 4
Phi-3 Mini 4K Instructwon 4 · lost 4
Starling LM 7B Betawon 4 · lost 4
Granite 3.1 2B Instructwon 4 · lost 4
Gemma 2 2B ITwon 4 · lost 4
Granite 3.1 8B Instructwon 4 · lost 4
Qwen3 30B A3B Instructwon 4 · lost 4
NVIDIA Nemotron 3 Ultra 550B A55Bwon 4 · lost 4
DeepSeek V4 Flashwon 4 · lost 4
Grok 4.3won 4 · lost 4
Gemini 3.5 Flashwon 4 · lost 4
Gemini 3.6 Flashwon 4 · lost 4
DeepSeek R1won 5 · lost 5
Aya Expanse 8Bwon 4 · lost 5
Amazon Nova Microwon 4 · lost 5
Claude 3 Haikuwon 4 · lost 5
Aya Expanse 32Bwon 4 · lost 5
Gemma 3 4B ITwon 4 · lost 5
Gemini 1.5 Flashwon 4 · lost 5
Gemini 2.0 Flash-Litewon 4 · lost 5
DeepSeek V3.1won 4 · lost 5
Gemma 4 31Bwon 4 · lost 5
Kimi K2.6won 4 · lost 5
IBM Granite 4.0 Microwon 3 · lost 4
MiMo V2.6 Flashwon 3 · lost 4
GPT OSS 120Bwon 4 · lost 6
DeepSeek V3won 4 · lost 6
Llama 2 7B Chatwon 3 · lost 5
Llama 2 13B Chatwon 3 · lost 5
Granite 3.0 2B Instructwon 3 · lost 5
Llama 2 70B Chatwon 3 · lost 5
Phi-3 Small 8K Instructwon 3 · lost 5
Granite 3.0 8B Instructwon 3 · lost 5
Phi-3 Medium 4K Instructwon 3 · lost 5
Llama 3.1 8B Instructwon 3 · lost 5
Llama 3.1 Tulu 3 8Bwon 3 · lost 5
Amazon Nova Prowon 3 · lost 5
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 5
GLM-4.5won 3 · lost 5
MiniMax M3won 3 · lost 5
Qwen3.7 Maxwon 3 · lost 5
GLM-5.2won 3 · lost 5
Qwen3.8 Maxwon 3 · lost 5
Kimi K2.7 Codewon 2 · lost 4
Gemma 4 12Bwon 2 · lost 4
Granite 3.2 2B Instructwon 2 · lost 4
Gemma2 9B Cpt Sea Lionv3 Instructwon 2 · lost 4
Reflection Llama 3.1 70Bwon 2 · lost 4
Apertus 8B Instructwon 2 · lost 4
LongWriter Glm4 9Bwon 2 · lost 4
Granite 3.1 3B A800M Instructwon 2 · lost 4
Sarvam 30Bwon 2 · lost 4
GPT-5.6 Astrawon 2 · lost 4
Granite 4.0 H Microwon 2 · lost 4
K2 Chatwon 2 · lost 4
Krutrim 2 Instructwon 2 · lost 4
Internlm2 Chat 20Bwon 2 · lost 4
Fugu Ultra V2won 2 · lost 4
Llama 3 8B Instruct MopeyMulewon 2 · lost 4
Llama 3 8B Instructwon 3 · lost 6
Phi 4won 3 · lost 6
Granite 4.0 H Smallwon 3 · lost 6
GPT OSS 20Bwon 3 · lost 6
GPT-4.1 nanowon 3 · lost 6
Llama 3.1 405B Instructwon 3 · lost 6
Gemini 1.5 Prowon 3 · lost 6
GPT-4.1 miniwon 3 · lost 6
Qwen3.5 27Bwon 3 · lost 6
Qwen3.5 122B A10Bwon 3 · lost 6
DeepSeek V3.2won 3 · lost 6
Gemma 4 26B A4Bwon 3 · lost 6
GPT-6 Solwon 3 · lost 6
DeepSeek V4 Prowon 3 · lost 6
Llama 4 Scout Instructwon 3 · lost 7
Llama 4 Maverick Instructwon 3 · lost 7
Gemini 2.5 Flashwon 3 · lost 7
Kimi K2won 3 · lost 7
Qwen3 235B A22B Instructwon 3 · lost 7
Gemini 2.5 Prowon 3 · lost 7
Qwen 2.5 Instruct (7B)won 2 · lost 5
Claude Sonnet 4.6won 2 · lost 5
GPT-4won 2 · lost 6
QwQ 32Bwon 2 · lost 6
Qwen3 VL 235B A22B Instructwon 2 · lost 6
GPT-6 Lunawon 2 · lost 6
GLM-5.1won 2 · lost 6
Grok 4.5won 2 · lost 6
Qwen2 72B Instructwon 2 · lost 7
Llama 3.3 70B Instructwon 2 · lost 7
Mercury 2won 2 · lost 7
O3 Miniwon 2 · lost 7
Gemma 3 27B ITwon 2 · lost 7
Claude 3.7 Sonnetwon 2 · lost 7
Qwen3.5 35B A3Bwon 2 · lost 7
GPT-5.4won 2 · lost 7
GPT-5.5won 2 · lost 7
GPT-5.6 Solwon 2 · lost 7
GPT-5 miniwon 2 · lost 8
O4 Miniwon 2 · lost 8
Claude Haiku 4.5won 2 · lost 8
GPT-4.1won 2 · lost 8
GPT-5.1won 2 · lost 8
Claude Sonnet 4.5won 2 · lost 8
Granite 3.0 3B A800M Instructwon 1 · lost 5
Dolphin 2.5 Mixtral 8x7bwon 1 · lost 5
Qwen2.5 32B Instructwon 1 · lost 5
Qwen2 VL 72Bwon 1 · lost 5
Qwen2.5 14B Instructwon 1 · lost 5
Phi 3 Medium 128k Instructwon 1 · lost 5
Qwen2 57B A14B Instructwon 1 · lost 5
Smaug Llama 3 70B Instructwon 1 · lost 5
Phi 3 Small 128k Instructwon 1 · lost 5
GPT OSS Safeguard 20Bwon 1 · lost 5
Kimi K2 Thinkingwon 1 · lost 5
SeaLLM 7B V2won 1 · lost 5
Apertus 70B Instructwon 1 · lost 5
Phi 3.5 Mini Instructwon 1 · lost 5
Llama 3.1 Tulu 3 8B SFTwon 1 · lost 5
Llama 3.1 Tulu 3 8B DPOwon 1 · lost 5
Phi 3.5 MoE Instructwon 1 · lost 5
Llama 3.2 Vision (11B)won 1 · lost 5
Titan Text Express V1won 1 · lost 5
Llama 3 8B Instruct RRwon 1 · lost 5
Nova Premierwon 1 · lost 5
Sarvam 105Bwon 1 · lost 5
Llama 3.2 Vision (90B)won 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
GPT-4.5won 1 · lost 5
Qwen3 Next 80B A3B Thinkingwon 1 · lost 6
GLM-4.5 Airwon 1 · lost 6
GPT-5.6 Lunawon 1 · lost 6
Gemini 3 Prowon 1 · lost 6
Gemini 3.8 Flashwon 1 · lost 6
Claude Opus 4.6won 1 · lost 6
Llama 3.1 Nemotron 70B Instructwon 1 · lost 7
Qwen Maxwon 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 7
Gemini 2.0 Flashwon 1 · lost 7
Mistral Large 4won 1 · lost 7
Qwen3.5 397B A17Bwon 1 · lost 7
MiMo V2.5 Prowon 1 · lost 7
GPT-5.6 Terrawon 1 · lost 7
GLM-5.3 Flashwon 1 · lost 7
MiMo V2.6 Prowon 1 · lost 7
Claude Opus 5won 1 · lost 7
Muse Spark 1.1won 1 · lost 7
Claude 3 Sonnetwon 1 · lost 8
GPT-4o miniwon 1 · lost 8
Claude 3 Opuswon 1 · lost 8
Gemma 3 12B ITwon 1 · lost 8
MiniMax M2.7won 1 · lost 8
O3won 1 · lost 8
GPT-5.2won 1 · lost 8
Claude Opus 4.7won 1 · lost 8
Claude Opus 5.5won 1 · lost 8
GPT-4owon 1 · lost 9
GPT-5 nanowon 1 · lost 9
Claude Sonnet 4won 1 · lost 9
Claude Opus 4won 1 · lost 9
GPT-5won 1 · lost 9
Foundation Sec 8B Instructwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
Mistral NeMo Minitron 8B Instructwon 0 · lost 6
Grok 3 Miniwon 0 · lost 6
Gemini 2.5 Flash-Litewon 0 · lost 7
Llama 3 70B Instructwon 0 · lost 8
Gemma 2 27B ITwon 0 · lost 8
MiniMax M2won 0 · lost 8
Grok 4.7won 0 · lost 8
Inklingwon 0 · lost 8
Hy3won 0 · lost 8
Grok 4.6won 0 · lost 8
Claude Sonnet 5won 0 · lost 8
Claude Opus 4.8won 0 · lost 8
Qwen2.5 72B Instructwon 0 · lost 9
GPT-4 Turbowon 0 · lost 9
O1 Miniwon 0 · lost 9
Claude 3.5 Sonnetwon 0 · lost 9
O1won 0 · lost 9

§ 3 · Sources

Where the numbers come from

4 publications, 13 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1274
HELM Safety ↗5 measuresread 2026-11-11
HELM Safety · HarmBench 45.2%HELM Safety · SimpleSafetyTests 93.3%HELM Safety · Anthropic Red Team 96.4%HELM Safety · BBQ 93.3%HELM Safety · XSTest 95.3%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 9.6%Enkrypt · Harmful content risk 54.4%Enkrypt · CBRN risk 9.3%Enkrypt · Toxicity risk 3.5%Enkrypt · Bias risk 84.8%Enkrypt · Insecure code risk 45.8%
Vectara Hallucination Leaderboard ↗1 measureread 2026-11-11
Vectara · Factual consistency 94.9%

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