The LLM benchmark aggregator.

CodeLlama 7B Instruct Hf

Meta · 7B

Strongest in Secure code (#112 of 274), weakest in Safety (#306 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 SmolLM2 360M 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.

Safety42.6−18.9#306/3361/3

Secure code56−10.5#112/2741/1

Harm refusal45.8−15.8#230/2991/2

Toxicity avoidance37.3−21.7#245/2721/1

Jailbreak resistance26.7−38.2#259/2721/1

Fairness40.1−29.9#278/2991/2

§ 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 CodeLlama 7B Instruct Hf, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0

OLMo 7B Instruct Hfwon 5 · lost 1

RakutenAI 7B Chatwon 5 · lost 1

SmolLM 1.7B Instructwon 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

Smollm2 1.7B Instructwon 5 · lost 1

GLM-4 9B Chatwon 5 · lost 1

H2o Danube3 500M Chatwon 4 · lost 2

Grok 4.1 Fastwon 4 · lost 2

Laguna Xs 2.1won 4 · lost 2

Falcon Mamba 7B Instructwon 4 · lost 2

SmolLM2 360M Instructwon 4 · lost 2

Grok 3won 4 · lost 2

Mistral Instruct v0.1 (7B)won 3 · lost 3

DBRX Instructwon 3 · lost 3

LFM2 350Mwon 3 · lost 3

Qwen3 30B A3B Instructwon 3 · lost 3

RakutenAI 7B Instructwon 3 · lost 3

Nous Hermes 2 Mixtral 8x7b Dpowon 3 · lost 3

Mistral Instruct v0.3 (7B)won 3 · lost 3

Qwen2.5 0.5B Instructwon 3 · lost 3

Qwen2 7B Instructwon 3 · lost 3

OLMo 2 7B Instructwon 3 · lost 3

Grok 4won 3 · lost 3

Gemma 2B Itwon 3 · lost 3

Command Awon 3 · lost 3

Qwen3 8Bwon 3 · lost 3

Jamba Mini 1.7won 2 · lost 4

Magistral Smallwon 2 · lost 4

Laguna S 2.1won 2 · lost 4

Falcon H1 0.5B Instructwon 2 · lost 4

SEA LION V1 7B ITwon 2 · lost 4

GPT-3.5 Turbowon 2 · lost 4

Llama 3.1 8B Instructwon 2 · lost 4

Qwen1.5 14B Chatwon 2 · lost 4

DeepSeek R1 Distill Qwen 7Bwon 2 · lost 4

DeepSeek R1 Distill Llama 8Bwon 2 · lost 4

DeepSeek R1won 2 · lost 4

Zephyr 7B Betawon 2 · lost 4

Ling 3.0 Flash VLwon 2 · lost 4

Magistral Mediumwon 2 · lost 4

Gemini 3.6 Flashwon 2 · lost 4

Llama 3.1 Instruct Turbo (70B)won 2 · lost 4

Command R7Bwon 2 · lost 4

LFM2 700Mwon 2 · lost 4

Jamba Large 1.7won 2 · lost 4

SmolLM 360M Instructwon 2 · lost 4

Open Mixtral 8x7bwon 2 · lost 4

Gemma 2 9B Itwon 2 · lost 4

Open Codestral Mambawon 2 · lost 4

DeepSeek V3won 2 · lost 4

Qwen2.5 3B Instructwon 2 · lost 4

LFM2 1.2Bwon 2 · lost 4

Aya 23 35Bwon 2 · lost 4

Granite 3.0 1B A400M Instructwon 2 · lost 4

GLM-4.5won 2 · lost 4

Sarvam 1won 2 · lost 4

Mistral Smallwon 2 · lost 4

Komodo 7B Basewon 2 · lost 4

Llama 3.2 1B Instructwon 2 · lost 4

Claude 3 Haikuwon 2 · lost 4

Claude Opus 4.6won 1 · lost 3

Claude Sonnet 4.6won 1 · lost 3

Aya 23 8Bwon 1 · lost 5

Grok Build 0.1won 1 · lost 5

H2o Danube3 4B Chatwon 1 · lost 5

Mimo V2.6 Flashwon 1 · lost 5

Jamba 1.6 Miniwon 1 · lost 5

DeepSeek V4 Flashwon 1 · lost 5

Command R Pluswon 1 · lost 5

NexusRaven V2 13Bwon 1 · lost 5

Ling 3.0 Flashwon 1 · lost 5

Jamba 1.5 Largewon 1 · lost 5

GLM-5.2won 1 · lost 5

DeepSeek LLM 67B Chatwon 1 · lost 5

Gemini 3.5 Flashwon 1 · lost 5

Granite 3.2 8B Instructwon 1 · lost 5

Mistral 7B Instruct V0.2won 1 · lost 5

Nemotron 3 Ultra 550B A55Bwon 1 · lost 5

GLM-4.6won 1 · lost 5

Phi-4 Mini Instructwon 1 · lost 5

Mimo V2.6 Pro Ultraspeedwon 1 · lost 5

Jamba 1.5 Miniwon 1 · lost 5

NVIDIA Nemotron 3 Super 120B A12Bwon 1 · lost 5

MiniMax M3won 1 · lost 5

DeepSeek V3p1won 1 · lost 5

Gemma 4 E2Bwon 1 · lost 5

QwQ 32Bwon 1 · lost 5

Jamba 1.6 Largewon 1 · lost 5

Kimi K2.6won 1 · lost 5

Yi 1.5 9B Chatwon 1 · lost 5

Gemma 4 E4Bwon 1 · lost 5

Jamba Instructwon 1 · lost 5

Qwen3.7 Maxwon 1 · lost 5

SeaLLMs V3 7B Chatwon 1 · lost 5

Qwen2.5 7B Instruct 1Mwon 1 · lost 5

DeepSeek Reasonerwon 1 · lost 5

Qwen2.5 1.5B Instructwon 1 · lost 5

Mistral Small 24B Instructwon 1 · lost 5

DeepSeek V3.2won 1 · lost 5

Granite 3.1 2B Instructwon 1 · lost 5

WizardLM 2.8x22Bwon 1 · lost 5

Llama 4 Scout Instructwon 1 · lost 5

Llama 3.2 3B Instructwon 1 · lost 5

Gemma 2 2B Itwon 1 · lost 5

IBM Granite 4.0 Microwon 1 · lost 5

Hunyuan A13B Instructwon 1 · lost 5

Granite 3.2 2B Instructwon 1 · lost 5

Llama 3.3 Instruct Turbo (70B)won 1 · lost 5

Gemini 2.0 Flash Litewon 1 · lost 5

Granite 3.0 3B A800M Instructwon 1 · lost 5

Gemma 3 4B Itwon 1 · lost 5

Llama 3.1 Instruct Turbo (8B)won 1 · lost 5

Starling Lm 7B Betawon 1 · lost 5

Open Mixtral 8x22bwon 1 · lost 5

Dolphin 2.5 Mixtral 8x7bwon 1 · lost 5

Granite 3.0 2B Instructwon 1 · lost 5

Gemini 1.5 Prowon 1 · lost 5

Llama 3.1 Instruct Turbo (405B)won 1 · lost 5

Gemma2 9B Cpt Sea Lionv3 Instructwon 1 · lost 5

Reflection Llama 3.1 70Bwon 1 · lost 5

Gemini 2.5 Prowon 1 · lost 5

GLM-5.3 Flashwon 1 · lost 5

Apertus 8B Instructwon 1 · lost 5

GPT OSS 20Bwon 1 · lost 5

DeepSeek Chatwon 1 · lost 5

DeepSeek V4 Prowon 1 · lost 5

Qwen2.5 32B Instructwon 1 · lost 5

LongWriter Glm4 9Bwon 1 · lost 5

Granite 3.1 3B A800M Instructwon 1 · lost 5

Phi 3 Medium 4k Instructwon 1 · lost 5

Llama 3 8B Instructwon 1 · lost 5

Qwen 2.5 Instruct Turbo (7B)won 1 · lost 5

Granite 3.1 8B Instructwon 1 · lost 5

Sarvam 30Bwon 1 · lost 5

Qwen2.5 14B Instructwon 1 · lost 5

Gemini 2.0 Flashwon 1 · lost 5

Phi 3 Medium 128k Instructwon 1 · lost 5

Gemma 3 27B Itwon 1 · lost 5

Smaug Llama 3 70B Instructwon 1 · lost 5

Llama 3 70B Chat HFwon 1 · lost 5

Granite 3.0 8B Instructwon 1 · lost 5

Mimo V2.6 Prowon 1 · lost 5

EAI Llama 3.1 8B Instruct SageAlignwon 1 · lost 5

Gemma 3 12B Itwon 1 · lost 5

Apertus 70B Instructwon 1 · lost 5

Llama 4 Maverick Instructwon 1 · lost 5

Granite 4.0 H Microwon 1 · lost 5

Granite 4.0 H Tinywon 1 · lost 5

Llama 3 70B Instructwon 1 · lost 5

Mistral Largewon 1 · lost 5

Phi 3.5 Mini Instructwon 1 · lost 5

Llama 3.1 Tulu 3 8B SFTwon 1 · lost 5

Nova Prowon 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

EAI SageAlign 8B LoRAwon 1 · lost 5

Nova Microwon 1 · lost 5

Llama 3 8B Chat Hfwon 1 · lost 5

Nova Litewon 1 · lost 5

Llama 3.2 Vision (11B)won 1 · lost 5

Llama 3.1 Nemotron 70B Instruct HFwon 1 · lost 5

Llama 2 13B Chat Hfwon 1 · lost 5

Llama 3 8B Instruct RRwon 1 · lost 5

Granite 4.0 H Smallwon 1 · lost 5

Llama 2 7B Chat Hfwon 1 · lost 5

Claude 3.7 Sonnetwon 1 · lost 5

Claude Haiku 4.5won 1 · lost 5

Llama 3.2 90B Vision Instruct Turbowon 1 · lost 5

Claude Opus 4won 1 · lost 5

Qwen 2.5 Instruct Turbo (72B)won 1 · lost 5

Claude Sonnet 4.5won 1 · lost 5

Claude 3.5 Haikuwon 1 · lost 5

Claude Opus 4.8won 1 · lost 5

Claude 3.5 Sonnetwon 1 · lost 5

Grok 4.3won 0 · lost 6

Kimi K2.5won 0 · lost 6

Kimi K2.7 Codewon 0 · lost 6

Gemma 4 12Bwon 0 · lost 6

Fuguwon 0 · lost 6

Mimo V2.5 Prowon 0 · lost 6

Gemma 4 31Bwon 0 · lost 6

Gemma 4 26B A4Bwon 0 · lost 6

Qwen2.5 14B Instruct 1Mwon 0 · lost 6

Gemini 2.5 Flashwon 0 · lost 6

Gemini 1.5 Flashwon 0 · lost 6

Qwen2 VL 72Bwon 0 · lost 6

GLM-5 Turbowon 0 · lost 6

Qwen3 Vl 235B A22B Instructwon 0 · lost 6

Qwen2 57B A14B Instructwon 0 · lost 6

GPT-5.6 Astrawon 0 · lost 6

Phi 3 Small 128k Instructwon 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

SeaLLM 7B V2won 0 · lost 6

GPT-6 Solwon 0 · lost 6

Phi 3 Small 8k Instructwon 0 · lost 6

Phi 3 Mini 128k Instructwon 0 · lost 6

K2 Chatwon 0 · lost 6

GPT-4.1 Nanowon 0 · lost 6

Phi 3 Mini 4k Instructwon 0 · lost 6

GPT-4o Miniwon 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

Qwen Maxwon 0 · lost 6

Qwen3.5 27Bwon 0 · lost 6

GPT-6 Lunawon 0 · lost 6

Qwen3.5 122B A10Bwon 0 · lost 6

GPT-4won 0 · lost 6

O4 Miniwon 0 · lost 6

Phi 3.5 MoE Instructwon 0 · lost 6

GPT-5.6 Lunawon 0 · lost 6

C4ai Aya Expanse 32Bwon 0 · lost 6

C4ai Aya Expanse 8Bwon 0 · lost 6

Qwen3 235B A22B Instructwon 0 · lost 6

GPT OSS 120Bwon 0 · lost 6

Titan Text Express V1won 0 · lost 6

Internlm2 Chat 20Bwon 0 · lost 6

Qwen2.5 72B Instructwon 0 · lost 6

Llama 2 70B Chat Hfwon 0 · lost 6

Fugu Ultra V2won 0 · lost 6

Nova Premierwon 0 · lost 6

Grok 4.5won 0 · lost 6

GPT-5.5won 0 · lost 6

Sarvam 105Bwon 0 · lost 6

GPT-4owon 0 · lost 6

GPT-5.4won 0 · lost 6

Qwen2 72B Instructwon 0 · lost 6

O3 Miniwon 0 · lost 6

Claude 3 Sonnetwon 0 · lost 6

Llama 3 8B Instruct MopeyMulewon 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

Foundation Sec 8B Instructwon 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

Meta SecAlign 8Bwon 0 · lost 6

Apriel 1.5 15B Thinkerwon 0 · lost 6

GPT-4 Turbowon 0 · lost 6

GPT-5.1won 0 · lost 6

Mistral NeMo Minitron 8B Instructwon 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

Phi 4won 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

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 32.5%Enkrypt · Harmful content risk 26.7%Enkrypt · CBRN risk 29.5%Enkrypt · Toxicity risk 15.2%Enkrypt · Bias risk 93.3%Enkrypt · Insecure code risk 21.3%

Badge

[![PublicAI Index](https://publicai.io/model-index/badge?model=codellama-7b-instruct-hf)](https://publicai.io/model-index/m/codellama-7b-instruct-hf)