The LLM benchmark aggregator.

Llama 3.1 Instruct Turbo (70B)

Meta · 70B

Strongest in Safe-prompt compliance (#54 of 82), weakest in Safety (#279 of 337). Above par in 5 of 10 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.1 and GPT-5 and ahead of Grok 3 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.

Professional42.5−19.1#145/1681/1

Medical50.7−16.1#74/1401/1

Finance33.3−29.6#147/1511/1

Safety45.7−15.8#279/3372/3

Safe-prompt compliance50.8−9.6#54/821/1

Jailbreak resistance55.4−9.5#112/2721/1

Fairness50.2−19.8#113/3002/2

Toxicity avoidance52.7−6.3#161/2721/1

Harm refusal43.3−18.3#268/3002/2

Secure code26−40.5#270/2741/1

§ 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 Llama 3.1 Instruct Turbo (70B), left for the other.

H2o Danube3 500M Chatwon 6 · lost 0

Mixtral (8x7B)won 6 · lost 0

OLMoE 1B-7B Instructwon 6 · lost 1

Mistral Instruct v0.1 (7B)won 6 · lost 1

DBRX Instructwon 6 · lost 1

OLMo 7B Instruct Hfwon 5 · lost 1

SmolLM 1.7B Instructwon 5 · lost 1

Smollm2 1.7B Instructwon 5 · lost 1

Nous Hermes 2 Mixtral 8x7b Dpowon 5 · lost 1

Qwen2.5 0.5B Instructwon 5 · lost 1

Jamba Mini 1.7won 5 · lost 1

Gemma 2B Itwon 5 · lost 1

Falcon H1 0.5B Instructwon 5 · lost 1

Magistral Mediumwon 5 · lost 1

GPT-3.5 Turbowon 5 · lost 2

RakutenAI 7B Chatwon 4 · lost 2

PowerMoE 3Bwon 4 · lost 2

Phi 2won 4 · lost 2

Qwen2.5 7B Instructwon 4 · lost 2

Gemma 7B Itwon 4 · lost 2

PowerLM 3Bwon 4 · lost 2

LFM2 350Mwon 4 · lost 2

Qwen3 30B A3B Instructwon 4 · lost 2

Laguna Xs 2.1won 4 · lost 2

RakutenAI 7B Instructwon 4 · lost 2

Falcon Mamba 7B Instructwon 4 · lost 2

GLM-4 9B Chatwon 4 · lost 2

CodeLlama 7B Instruct Hfwon 4 · lost 2

Qwen2 7B Instructwon 4 · lost 2

Magistral Smallwon 4 · lost 2

Laguna S 2.1won 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

Command R7Bwon 4 · lost 2

Gemini 1.5 Flashwon 6 · lost 3

Jamba 1.5 Miniwon 6 · lost 3

Jamba 1.6 Miniwon 6 · lost 3

Grok 4won 6 · lost 4

Mistral Instruct v0.3 (7B)won 4 · lost 3

OLMo 2 7B Instructwon 4 · lost 3

DeepSeek LLM 67B Chatwon 4 · lost 3

Gemini 2.0 Flash Litewon 4 · lost 3

Jamba 1.6 Largewon 5 · lost 4

Mistral Smallwon 5 · lost 4

Jamba 1.5 Largewon 5 · lost 4

Command R Pluswon 5 · lost 4

Grok 4.1 Fastwon 5 · lost 4

Grok 3won 5 · lost 4

SmolLM2 360M Instructwon 3 · lost 3

Aya 23 8Bwon 3 · lost 3

SEA LION V1 7B ITwon 3 · lost 3

DeepSeek R1 Distill Qwen 7Bwon 3 · lost 3

DeepSeek R1 Distill Llama 8Bwon 3 · lost 3

H2o Danube3 4B Chatwon 3 · lost 3

Ling 3.0 Flash VLwon 3 · lost 3

Jamba Large 1.7won 3 · lost 3

SmolLM 360M Instructwon 3 · lost 3

Qwen3 8Bwon 3 · lost 3

Open Mixtral 8x7bwon 3 · lost 3

Nemotron 3 Ultra 550B A55Bwon 3 · lost 3

Open Codestral Mambawon 3 · lost 3

Qwen2.5 3B Instructwon 3 · lost 3

Granite 3.0 1B A400M Instructwon 3 · lost 3

DeepSeek V3p1won 3 · lost 3

Jamba Instructwon 3 · lost 3

Qwen2.5 7B Instruct 1Mwon 3 · lost 3

DeepSeek Reasonerwon 3 · lost 3

Hunyuan A13B Instructwon 3 · lost 3

Gemma 3 4B Itwon 3 · lost 3

DeepSeek Chatwon 3 · lost 3

LongWriter Glm4 9Bwon 3 · lost 3

GLM-5 Turbowon 3 · lost 3

EAI SageAlign 8B LoRAwon 3 · lost 3

Gemini 1.5 Prowon 5 · lost 5

Command Awon 4 · lost 5

Grok 4.3won 4 · lost 5

DeepSeek V4 Flashwon 4 · lost 5

Gemini 3.6 Flashwon 4 · lost 5

Llama 3 8B Instructwon 3 · lost 4

Gemma 2 9B Itwon 3 · lost 4

Llama 3.1 Instruct Turbo (8B)won 4 · lost 6

GPT-4.1 Nanowon 4 · lost 6

GPT OSS 20Bwon 4 · lost 6

GPT-4.1 Miniwon 4 · lost 6

Mimo V2.6 Flashwon 3 · lost 5

NexusRaven V2 13Bwon 2 · lost 4

Phi-4 Mini Instructwon 2 · lost 4

Mimo V2.6 Pro Ultraspeedwon 2 · lost 4

Aya 23 35Bwon 2 · lost 4

NVIDIA Nemotron 3 Super 120B A12Bwon 2 · lost 4

Gemma 4 E2Bwon 2 · lost 4

QwQ 32Bwon 2 · lost 4

Yi 1.5 9B Chatwon 2 · lost 4

Gemma 4 E4Bwon 2 · lost 4

Sarvam 1won 2 · lost 4

SeaLLMs V3 7B Chatwon 2 · lost 4

Qwen2.5 1.5B Instructwon 2 · lost 4

Mistral Small 24B Instructwon 2 · lost 4

Komodo 7B Basewon 2 · lost 4

Llama 3.2 3B Instructwon 2 · lost 4

Gemma 2 2B Itwon 2 · lost 4

Kimi K2.7 Codewon 2 · lost 4

Gemma 4 12Bwon 2 · lost 4

Fuguwon 2 · lost 4

Granite 3.0 3B A800M Instructwon 2 · lost 4

Starling Lm 7B Betawon 2 · lost 4

Granite 3.0 2B Instructwon 2 · lost 4

Gemma2 9B Cpt Sea Lionv3 Instructwon 2 · lost 4

Apertus 8B Instructwon 2 · lost 4

Gemma 4 26B A4Bwon 2 · lost 4

Qwen2.5 32B Instructwon 2 · lost 4

Qwen2.5 14B Instruct 1Mwon 2 · lost 4

Qwen2 VL 72Bwon 2 · lost 4

Sarvam 30Bwon 2 · lost 4

Qwen3 Vl 235B A22B Instructwon 2 · lost 4

Qwen2 57B A14B Instructwon 2 · lost 4

GPT-5.6 Astrawon 2 · lost 4

Phi 3 Small 128k Instructwon 2 · lost 4

EAI Llama 3.1 8B Instruct SageAlignwon 2 · lost 4

Apertus 70B Instructwon 2 · lost 4

Granite 4.0 H Microwon 2 · lost 4

Granite 4.0 H Tinywon 2 · lost 4

Phi 3 Small 8k Instructwon 2 · lost 4

K2 Chatwon 2 · lost 4

Krutrim 2 Instructwon 2 · lost 4

GPT-4won 2 · lost 4

Fugu Ultra V2won 2 · lost 4

Granite 4.0 H Smallwon 2 · lost 4

Llama 3 8B Instruct MopeyMulewon 2 · lost 4

Ling 3.0 Flashwon 3 · lost 6

Mistral Largewon 3 · lost 6

GLM-4.6won 3 · lost 6

Kimi K2.6won 3 · lost 6

GPT-5.6 Lunawon 3 · lost 6

DeepSeek V4 Prowon 3 · lost 6

Qwen3.8 Maxwon 3 · lost 6

Llama 4 Scout Instructwon 3 · lost 7

Llama 4 Maverick Instructwon 3 · lost 7

GPT OSS 120Bwon 3 · lost 7

DeepSeek R1won 3 · lost 7

Kimi K2won 3 · lost 7

DeepSeek V3won 3 · lost 7

IBM Granite 4.0 Microwon 2 · lost 5

Claude 3 Haikuwon 2 · lost 5

Qwen 2.5 Instruct Turbo (7B)won 2 · lost 6

Gemma 4 31Bwon 2 · lost 6

Mimo V2.5 Prowon 2 · lost 7

DeepSeek V3.2won 2 · lost 7

GLM-5.1won 2 · lost 7

Kimi K2.5won 2 · lost 7

GPT-6 Lunawon 2 · lost 7

Qwen3.7 Maxwon 2 · lost 7

GPT-6 Solwon 2 · lost 7

GLM-5.2won 2 · lost 7

Grok 4.5won 2 · lost 7

GPT-5.6 Terrawon 2 · lost 7

MiniMax M3won 2 · lost 7

Gemini 3.5 Flashwon 2 · lost 7

GPT-5.6 Solwon 2 · lost 7

GPT-5.5won 2 · lost 7

GPT-4o Miniwon 2 · lost 8

Gemini 2.0 Flashwon 2 · lost 8

Claude Haiku 4.5won 2 · lost 8

O3 Miniwon 2 · lost 8

O4 Miniwon 2 · lost 8

Gemini 2.5 Flashwon 2 · lost 8

LFM2 700Mwon 1 · lost 5

Granite 3.2 8B Instructwon 1 · lost 5

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

LFM2 1.2Bwon 1 · lost 5

Granite 3.1 2B Instructwon 1 · lost 5

WizardLM 2.8x22Bwon 1 · lost 5

Granite 3.2 2B Instructwon 1 · lost 5

Open Mixtral 8x22bwon 1 · lost 5

Reflection Llama 3.1 70Bwon 1 · lost 5

Llama 3.2 1B Instructwon 1 · lost 5

Granite 3.1 3B A800M Instructwon 1 · lost 5

Phi 3 Medium 4k Instructwon 1 · lost 5

Granite 3.1 8B Instructwon 1 · lost 5

Qwen2.5 14B Instructwon 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

GPT OSS Safeguard 20Bwon 1 · lost 5

Gemma 3 12B Itwon 1 · lost 5

SeaLLM 7B V2won 1 · lost 5

Phi 3 Mini 128k Instructwon 1 · lost 5

Phi 3.5 Mini Instructwon 1 · lost 5

Llama 3.1 Tulu 3 8B SFTwon 1 · lost 5

Phi 3 Mini 4k Instructwon 1 · lost 5

Nova Prowon 1 · lost 5

Llama 3.1 Tulu 3 8B DPOwon 1 · lost 5

Llama 3.1 Tulu 3 8Bwon 1 · lost 5

Qwen3.5 35B A3Bwon 1 · lost 5

Qwen Maxwon 1 · lost 5

Qwen3.5 27Bwon 1 · lost 5

Qwen3.5 122B A10Bwon 1 · lost 5

Phi 3.5 MoE Instructwon 1 · lost 5

Nova Microwon 1 · lost 5

Llama 3 8B Chat Hfwon 1 · lost 5

Nova Litewon 1 · lost 5

C4ai Aya Expanse 32Bwon 1 · lost 5

C4ai Aya Expanse 8Bwon 1 · lost 5

Titan Text Express V1won 1 · lost 5

Internlm2 Chat 20Bwon 1 · lost 5

Qwen2.5 72B Instructwon 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

Nova Premierwon 1 · lost 5

Llama 2 7B Chat Hfwon 1 · lost 5

Sarvam 105Bwon 1 · lost 5

Cogito 671B V2 P1won 1 · lost 5

Qwen3.5 397B A17Bwon 1 · lost 5

Meta SecAlign 8Bwon 1 · lost 5

Phi 4won 1 · lost 5

Llama 3 70B Instructwon 1 · lost 6

Claude 3 Sonnetwon 1 · lost 6

Claude 3 Opuswon 1 · lost 6

Gemini 2.5 Flash Litewon 1 · lost 6

Claude Sonnet 4.6won 1 · lost 6

Llama 3.2 Vision (11B)won 1 · lost 7

Llama 3.3 Instruct Turbo (70B)won 1 · lost 7

Mimo V2.6 Prowon 1 · lost 7

MiniMax M2.7won 1 · lost 8

Qwen 2.5 Instruct Turbo (72B)won 1 · lost 8

GPT-4 Turbowon 1 · lost 8

GLM-4.5won 1 · lost 8

Gemini 3.8 Flashwon 1 · lost 8

GPT-5.4won 1 · lost 8

Kimi K2 Thinkingwon 1 · lost 8

GLM-5.3 Flashwon 1 · lost 8

Claude Opus 5won 1 · lost 8

GPT-5 Nanowon 1 · lost 9

Llama 3.1 Instruct Turbo (405B)won 1 · lost 9

Claude Sonnet 4won 1 · lost 9

Claude 3.5 Sonnetwon 1 · lost 9

Qwen3 235B A22B Instructwon 1 · lost 9

Claude 3.7 Sonnetwon 1 · lost 9

O3won 1 · lost 9

Gemini 2.5 Prowon 1 · lost 9

GPT-5 Miniwon 1 · lost 9

GPT-4.1won 1 · lost 9

Dolphin 2.5 Mixtral 8x7bwon 0 · lost 6

Llama 3.1 Nemotron 70B Instruct HFwon 0 · lost 6

Llama 3.2 90B Vision Instruct Turbowon 0 · lost 6

Foundation Sec 8B Instructwon 0 · lost 6

Apriel 1.5 15B Thinkerwon 0 · lost 6

Mistral NeMo Minitron 8B Instructwon 0 · lost 6

MiniMax M2won 0 · lost 6

Hy3won 0 · lost 6

Gemini 2.0 Prowon 0 · lost 6

Qwen2 72B Instructwon 0 · lost 7

Gemma 2 27B Itwon 0 · lost 7

Gemini 3 Prowon 0 · lost 7

Claude Opus 4.6won 0 · lost 7

Claude 3.5 Haikuwon 0 · lost 8

O1 Miniwon 0 · lost 9

Inklingwon 0 · lost 9

Claude Sonnet 5won 0 · lost 9

GPT-5.2won 0 · lost 9

Grok 4.7won 0 · lost 9

Grok 4.6won 0 · lost 9

Claude Opus 4.7won 0 · lost 9

Claude Opus 4.8won 0 · lost 9

Claude Opus 5.5won 0 · lost 9

Muse Spark 1.1won 0 · lost 9

GPT-4owon 0 · lost 10

Claude Opus 4won 0 · lost 10

O1won 0 · lost 10

Claude Sonnet 4.5won 0 · lost 10

GPT-5won 0 · lost 10

GPT-5.1won 0 · lost 10

§ 3 · Sources

Where the numbers come from

3 publications, 14 figures. Every one links to the page it was read from.

Vals.ai ↗3 measuresread 2026-09-26

Vals · CorpFin 38.85%Vals · TaxEval 56.17%Vals · MedQA 84.78%

HELM Safety ↗5 measuresread 2026-09-26

HELM Safety · HarmBench 46.9%HELM Safety · SimpleSafetyTests 92.5%HELM Safety · Anthropic Red Team 93.2%HELM Safety · BBQ 95.4%HELM Safety · XSTest 94.5%

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26

Enkrypt · Jailbreak risk 8.2%Enkrypt · Harmful content risk 37.2%Enkrypt · CBRN risk 13.5%Enkrypt · Toxicity risk 4.4%Enkrypt · Bias risk 86.3%Enkrypt · Insecure code risk 92.9%

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