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Phi-3 Small 8K Instruct

Microsoft

Strongest in Toxicity avoidance (#59 of 268), weakest in Human preference (#306 of 354). Above par in 5 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Grok 4.7 and ahead of MiMo V2.5 Pro and Jamba 1.5 Mini.

§ 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.

Safety52.4#114/329
Toxicity avoidance56.4#59/268
Secure code59#71/270
Jailbreak resistance55.3#112/268
Harm refusal51.8#125/292
Fairness43.5#227/292
Human preference34.7#306/354
Human preference34.7#306/354

§ 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 Phi-3 Small 8K Instruct, left for the other.

Qwen3 8Bwon 5 · lost 0
Granite 3.0 1B A400M Instructwon 5 · lost 0
OLMoE 1B-7B Instructwon 6 · lost 0
SmolLM 1.7B Instructwon 6 · lost 0
H2o Danube3 500M Chatwon 6 · lost 0
CodeLlama 7B Instructwon 6 · lost 0
Qwen2.5 0.5B Instructwon 6 · lost 0
DeepSeek R1 Distill Qwen 7Bwon 6 · lost 0
DeepSeek R1 Distill Llama 8Bwon 6 · lost 0
Ling 3.0 Flash VLwon 6 · lost 0
Command R7Bwon 6 · lost 0
Ling 3.0 Flashwon 6 · lost 0
Qwen2.5 3B Instructwon 6 · lost 0
Jamba Instructwon 6 · lost 0
Qwen2.5 1.5B Instructwon 6 · lost 0
SmolLM2 1.7B Instructwon 8 · lost 0
Nous Hermes 2 Mixtral 8x7B DPOwon 8 · lost 0
OLMo 7B Instructwon 7 · lost 1
Gemma 2B ITwon 7 · lost 1
Zephyr 7B Betawon 7 · lost 1
Gemma 7B ITwon 7 · lost 1
Granite 3.0 2B Instructwon 7 · lost 1
Mistral Instruct v0.1 (7B)won 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
Falcon Mamba 7B Instructwon 5 · lost 1
GLM-4 9B Chatwon 5 · lost 1
SmolLM2 360M Instructwon 5 · lost 1
Qwen2 7B Instructwon 5 · lost 1
Magistral Smallwon 5 · lost 1
Jamba Mini 1.7won 5 · lost 1
OLMo 2 7B Instructwon 5 · lost 1
Magistral Small 1.2won 5 · lost 1
Aya 23 8Bwon 5 · lost 1
Laguna S 2.1won 5 · lost 1
Falcon H1 0.5B Instructwon 5 · lost 1
SEA LION V1 7B ITwon 5 · lost 1
H2o Danube3 4B Chatwon 5 · lost 1
Jamba 1.6 Miniwon 5 · lost 1
LFM2 700Mwon 5 · lost 1
Jamba Large 1.7won 5 · lost 1
NexusRaven V2 13Bwon 5 · lost 1
SmolLM 360M Instructwon 5 · lost 1
Mimo V2.6 Pro Ultraspeedwon 5 · lost 1
Phi-4 Mini Instructwon 5 · lost 1
Open Codestral Mambawon 5 · lost 1
LFM2 1.2Bwon 5 · lost 1
Jamba 1.6 Largewon 5 · lost 1
Gemma 4 E2Bwon 5 · lost 1
Sarvam 1won 5 · lost 1
Gemma 4 E4Bwon 5 · lost 1
Qwen2.5 7B Instruct 1Mwon 5 · lost 1
SeaLLMs V3 7B Chatwon 5 · lost 1
DeepSeek Reasonerwon 5 · lost 1
Gemma 4 12Bwon 5 · lost 1
Hunyuan A13B Instructwon 5 · lost 1
Granite 3.0 3B A800M Instructwon 5 · lost 1
Gemma2 9B Cpt Sea Lionv3 Instructwon 5 · lost 1
DeepSeek Chatwon 5 · lost 1
Qwen2.5 32B Instructwon 5 · lost 1
LongWriter Glm4 9Bwon 5 · lost 1
Qwen2.5 14B Instruct 1Mwon 5 · lost 1
Qwen2 VL 72Bwon 5 · lost 1
GLM-5 Turbowon 5 · lost 1
Qwen 2.5 Instruct (7B)won 5 · lost 1
Sarvam 30Bwon 5 · lost 1
Phi 3 Small 128k Instructwon 5 · lost 1
GPT-5.6 Astrawon 5 · lost 1
Kimi K2 Thinkingwon 5 · lost 1
Mistral 7B Instruct v0.2won 6 · lost 2
Llama 3.2 3B Instructwon 6 · lost 2
DBRX Instructwon 6 · lost 2
GPT-3.5 Turbowon 6 · lost 2
QwQ 32Bwon 6 · lost 2
Command Awon 6 · lost 2
Qwen3 30B A3B Instructwon 6 · lost 2
MiMo V2.6 Flashwon 6 · lost 2
Grok 4.1 Fastwon 5 · lost 2
Mistral Instruct v0.3 (7B)won 4 · lost 2
Grok Build 0.1won 4 · lost 2
Granite 3.2 8B Instructwon 4 · lost 2
Aya 23 35Bwon 4 · lost 2
Yi 1.5 9B Chatwon 4 · lost 2
Komodo 7B Basewon 4 · lost 2
WizardLM 2.8x22Bwon 4 · lost 2
Kimi K2.7 Codewon 4 · lost 2
Fuguwon 4 · lost 2
Apertus 8B Instructwon 4 · lost 2
Phi 3 Medium 128k Instructwon 4 · lost 2
Qwen2 57B A14B Instructwon 4 · lost 2
GPT OSS Safeguard 20Bwon 4 · lost 2
EAI Llama 3.1 8B Instruct SageAlignwon 4 · lost 2
SeaLLM 7B V2won 4 · lost 2
Llama 3.2 1B Instructwon 5 · lost 3
DeepSeek LLM 67B Chatwon 5 · lost 3
Qwen1.5 14B Chatwon 5 · lost 3
Mixtral 8x7B Instructwon 5 · lost 3
Mistral Small 3 24B Instructwon 5 · lost 3
Command R+won 5 · lost 3
Jamba 1.5 Largewon 5 · lost 3
Gemma 3 4B ITwon 5 · lost 3
Magistral Mediumwon 5 · lost 3
Gemini 1.5 Flashwon 5 · lost 3
Llama 3.3 70B Instructwon 5 · lost 3
Gemini 2.0 Flash-Litewon 5 · lost 3
DeepSeek V3won 5 · lost 3
Gemini 2.5 Flashwon 5 · lost 3
GLM-4.5won 5 · lost 3
Grok 3won 5 · lost 3
Grok 4won 5 · lost 3
DeepSeek V3.1won 5 · lost 3
DeepSeek R1won 5 · lost 3
Mistral Large 4won 5 · lost 3
DeepSeek V3.2won 5 · lost 3
GLM-4.6won 5 · lost 3
MiniMax M3won 5 · lost 3
DeepSeek V4 Flashwon 5 · lost 3
Grok 4.3won 5 · lost 3
Gemini 2.5 Prowon 5 · lost 3
Gemma 4 31Bwon 5 · lost 3
GPT-6 Solwon 5 · lost 3
DeepSeek V4 Prowon 5 · lost 3
GLM-5.3 Flashwon 5 · lost 3
Gemini 3.6 Flashwon 5 · lost 3
Reflection Llama 3.1 70Bwon 3 · lost 2
Command Rwon 3 · lost 2
Jamba 1.5 Miniwon 4 · lost 3
MiMo V2.5 Prowon 4 · lost 3
IBM Granite 4.0 Microwon 3 · lost 3
Granite 3.2 2B Instructwon 3 · lost 3
Dolphin 2.5 Mixtral 8x7bwon 3 · lost 3
Granite 3.1 3B A800M Instructwon 3 · lost 3
Qwen2.5 14B Instructwon 3 · lost 3
Apertus 70B Instructwon 3 · lost 3
Granite 4.0 H Microwon 3 · lost 3
Phi 3.5 Mini Instructwon 3 · lost 3
Llama 3.1 Tulu 3 8B SFTwon 3 · lost 3
EAI SageAlign 8B LoRAwon 3 · lost 3
Titan Text Express V1won 3 · lost 3
Fugu Ultra V2won 3 · lost 3
Phi-3 Mini 128K Instructwon 4 · lost 4
Llama 2 13B Chatwon 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
Phi-3 Medium 4K Instructwon 4 · lost 4
Llama 3.1 8B Instructwon 4 · lost 4
Llama 3 8B Instructwon 4 · lost 4
Mixtral 8x22B Instructwon 4 · lost 4
Gemma 2 9B ITwon 4 · lost 4
Llama 3.1 70B Instructwon 4 · lost 4
Llama 4 Scout Instructwon 4 · lost 4
Llama 3.1 405B Instructwon 4 · lost 4
Gemma 3 12B ITwon 4 · lost 4
Mercury 2won 4 · lost 4
Gemma 3 27B ITwon 4 · lost 4
Qwen3 VL 235B A22B Instructwon 4 · lost 4
NVIDIA Nemotron 3 Ultra 550B A55Bwon 4 · lost 4
Gemma 4 26B A4Bwon 4 · lost 4
Kimi K2.5won 4 · lost 4
Kimi K2.6won 4 · lost 4
Qwen3.7 Maxwon 4 · lost 4
GLM-5.2won 4 · lost 4
Gemini 3.5 Flashwon 4 · lost 4
MiMo V2.6 Prowon 4 · lost 4
Gemini 3.8 Flashwon 4 · lost 4
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 4
Qwen1.5 72B Chatwon 2 · lost 3
OLMo 2 32B Instructwon 2 · lost 3
Gemini 3 Prowon 2 · lost 3
Llama 2 7B Chatwon 3 · lost 5
Llama 2 70B Chatwon 3 · lost 5
Granite 3.0 8B Instructwon 3 · lost 5
Gemma 2 2B ITwon 3 · lost 5
Granite 3.1 8B Instructwon 3 · lost 5
Claude 3 Haikuwon 3 · lost 5
GPT OSS 20Bwon 3 · lost 5
Llama 4 Maverick Instructwon 3 · lost 5
Gemini 1.5 Prowon 3 · lost 5
Gemini 2.0 Flashwon 3 · lost 5
Qwen3.5 27Bwon 3 · lost 5
Qwen3.5 122B A10Bwon 3 · lost 5
Kimi K2won 3 · lost 5
GPT-6 Lunawon 3 · lost 5
Smaug Llama 3 70B Instructwon 2 · lost 4
Granite 4.0 H Tinywon 2 · lost 4
Llama 3.1 Tulu 3 8B DPOwon 2 · lost 4
Krutrim 2 Instructwon 2 · lost 4
Internlm2 Chat 20Bwon 2 · lost 4
Llama 3 8B Instruct RRwon 2 · lost 4
Nova Premierwon 2 · lost 4
Llama 3 8B Instruct MopeyMulewon 2 · lost 4
Llama 3.2 Vision (90B)won 2 · lost 4
Claude Sonnet 4.6won 2 · lost 4
Claude Opus 4.6won 2 · lost 4
Llama 3.1 Tulu 3 8Bwon 2 · lost 5
GPT-4.1 miniwon 2 · lost 5
Amazon Nova Microwon 2 · lost 6
Amazon Nova Litewon 2 · lost 6
GPT-4won 2 · lost 6
Llama 3 70B Instructwon 2 · lost 6
Granite 4.0 H Smallwon 2 · lost 6
Amazon Nova Prowon 2 · lost 6
Qwen2.5 72B Instructwon 2 · lost 6
GPT-4o miniwon 2 · lost 6
Qwen Maxwon 2 · lost 6
GPT-4.1 nanowon 2 · lost 6
GPT OSS 120Bwon 2 · lost 6
O3 Miniwon 2 · lost 6
Qwen3 235B A22B Instructwon 2 · lost 6
Qwen3.5 397B A17Bwon 2 · lost 6
GPT-5.6 Lunawon 2 · lost 6
GLM-5.1won 2 · lost 6
Grok 4.5won 2 · lost 6
GPT-5.6 Terrawon 2 · lost 6
GPT-5.5won 2 · lost 6
Qwen3.8 Maxwon 2 · lost 6
GPT-5.6 Solwon 2 · lost 6
Claude Opus 5won 2 · lost 6
Muse Spark 1.1won 2 · lost 6
Grok 3 Miniwon 1 · lost 4
GLM-4.5 Airwon 1 · lost 4
Gemini 2.5 Flash-Litewon 1 · lost 4
K2 Chatwon 1 · lost 5
Llama 3.2 Vision (11B)won 1 · lost 5
Sarvam 105Bwon 1 · lost 5
Cogito 671B V2 P1won 1 · lost 5
Foundation Sec 8B Instructwon 1 · lost 5
Meta SecAlign 8Bwon 1 · lost 5
Mistral NeMo Minitron 8B Instructwon 1 · lost 5
Aya Expanse 8Bwon 1 · lost 7
Phi 4won 1 · lost 7
Qwen2 72B Instructwon 1 · lost 7
Claude 3 Sonnetwon 1 · lost 7
Llama 3.1 Nemotron 70B Instructwon 1 · lost 7
Claude 3 Opuswon 1 · lost 7
Claude 3.5 Haikuwon 1 · lost 7
O1 Miniwon 1 · lost 7
GPT-5 nanowon 1 · lost 7
Claude 3.5 Sonnetwon 1 · lost 7
Claude 3.7 Sonnetwon 1 · lost 7
GPT-5 miniwon 1 · lost 7
O4 Miniwon 1 · lost 7
Qwen3.5 35B A3Bwon 1 · lost 7
O1won 1 · lost 7
Claude Haiku 4.5won 1 · lost 7
GPT-4.1won 1 · lost 7
Claude Opus 4won 1 · lost 7
O3won 1 · lost 7
GPT-5won 1 · lost 7
GPT-5.2won 1 · lost 7
Inklingwon 1 · lost 7
Hy3won 1 · lost 7
GPT-5.1won 1 · lost 7
Grok 4.6won 1 · lost 7
Claude Sonnet 4.5won 1 · lost 7
GPT-5.4won 1 · lost 7
Claude Opus 4.8won 1 · lost 7
Claude Opus 4.7won 1 · lost 7
Claude Opus 5.5won 1 · lost 7
Qwen3 Next 80B A3B Thinkingwon 0 · lost 5
GPT-4.5won 0 · lost 5
Phi 3.5 MoE Instructwon 0 · lost 6
Apriel 1.5 15B Thinkerwon 0 · lost 6
MiniMax M2won 0 · lost 7
Claude Sonnet 4won 0 · lost 7
MiniMax M2.7won 0 · lost 7
Aya Expanse 32Bwon 0 · lost 8
Gemma 2 27B ITwon 0 · lost 8
GPT-4 Turbowon 0 · lost 8
GPT-4owon 0 · lost 8
Grok 4.7won 0 · lost 8
Claude Sonnet 5won 0 · lost 8

§ 3 · Sources

Where the numbers come from

2 publications, 7 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1171
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 8.4%Enkrypt · Harmful content risk 28.9%Enkrypt · CBRN risk 12.5%Enkrypt · Toxicity risk 1.8%Enkrypt · Bias risk 87.9%Enkrypt · Insecure code risk 14.7%

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PublicAI Index badge for Phi-3 Small 8K Instruct[![PublicAI Index](https://publicai.io/model-index/badge?model=phi-3-small-8k-instruct)](https://publicai.io/model-index/m/phi-3-small-8k-instruct)