The LLM benchmark aggregator.

Starling Lm 7B Beta

Nexusflow · 7B

Strongest in Toxicity avoidance (#50 of 272), weakest in Human preference (#293 of 342). Above par in 2 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.7 and Claude Opus 4.8 and ahead of Command R and Gemini 3.6 Flash.

§ 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.

Safety49.7−11.8#187/3371/3

Toxicity avoidance56.8−2.2#50/2721/1

Fairness49.4−20.6#122/3001/2

Secure code51−15.5#151/2741/1

Jailbreak resistance47.3−17.6#197/2721/1

Harm refusal47.6−14#199/3001/2

Human preference35−32.5#293/3421/1

§ 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 Starling Lm 7B Beta, left for the other.

OLMoE 1B-7B Instructwon 6 · lost 0

Mistral Instruct v0.1 (7B)won 6 · lost 0

OLMo 7B Instruct Hfwon 6 · lost 0

SmolLM 1.7B Instructwon 6 · lost 0

LFM2 350Mwon 6 · lost 0

Laguna Xs 2.1won 6 · lost 0

RakutenAI 7B Instructwon 6 · lost 0

Falcon Mamba 7B Instructwon 6 · lost 0

Zephyr 7B Betawon 8 · lost 0

Gemma 7B Itwon 8 · lost 0

Smollm2 1.7B Instructwon 7 · lost 1

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

Nous Hermes 2 Mixtral 8x7b Dpowon 7 · 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

H2o Danube3 500M Chatwon 5 · lost 1

PowerLM 3Bwon 5 · lost 1

GLM-4 9B Chatwon 5 · lost 1

SmolLM2 360M Instructwon 5 · lost 1

Mistral Instruct v0.3 (7B)won 5 · lost 1

CodeLlama 7B Instruct Hfwon 5 · lost 1

Qwen2.5 0.5B Instructwon 5 · lost 1

Jamba Mini 1.7won 5 · lost 1

OLMo 2 7B Instructwon 5 · lost 1

Magistral Smallwon 5 · lost 1

Aya 23 8Bwon 5 · lost 1

Laguna S 2.1won 5 · lost 1

Falcon H1 0.5B Instructwon 5 · lost 1

Grok Build 0.1won 5 · lost 1

DeepSeek R1 Distill Qwen 7Bwon 5 · lost 1

DeepSeek R1 Distill Llama 8Bwon 5 · lost 1

H2o Danube3 4B Chatwon 5 · lost 1

Ling 3.0 Flash VLwon 5 · lost 1

Jamba 1.6 Miniwon 5 · lost 1

LFM2 700Mwon 5 · lost 1

Jamba Large 1.7won 5 · lost 1

SmolLM 360M Instructwon 5 · lost 1

Ling 3.0 Flashwon 5 · lost 1

Qwen3 8Bwon 5 · lost 1

Open Mixtral 8x7bwon 5 · lost 1

Nemotron 3 Ultra 550B A55Bwon 5 · lost 1

Mimo V2.6 Pro Ultraspeedwon 5 · lost 1

LFM2 1.2Bwon 5 · lost 1

DeepSeek V3p1won 5 · lost 1

Gemma 4 E2Bwon 5 · lost 1

Gemma 4 E4Bwon 5 · lost 1

Jamba Instructwon 5 · lost 1

Kimi K2.7 Codewon 5 · lost 1

Hunyuan A13B Instructwon 5 · lost 1

Fuguwon 5 · lost 1

Gemma 2B Itwon 6 · lost 2

Llama 3.2 3B Instructwon 6 · lost 2

Magistral Mediumwon 6 · lost 2

Qwen3 30B A3B Instructwon 6 · lost 2

Grok 3won 6 · lost 2

Grok 4won 6 · lost 2

DeepSeek V4 Flashwon 6 · lost 2

Mimo V2.6 Flashwon 6 · lost 2

Qwen2 7B Instructwon 4 · lost 2

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

Command R7Bwon 4 · lost 2

Granite 3.2 8B Instructwon 4 · lost 2

Open Codestral Mambawon 4 · lost 2

Qwen2.5 3B Instructwon 4 · lost 2

Aya 23 35Bwon 4 · lost 2

Granite 3.0 1B A400M Instructwon 4 · lost 2

Jamba 1.6 Largewon 4 · lost 2

Yi 1.5 9B Chatwon 4 · lost 2

Sarvam 1won 4 · lost 2

SeaLLMs V3 7B Chatwon 4 · lost 2

Qwen2.5 7B Instruct 1Mwon 4 · lost 2

DeepSeek Reasonerwon 4 · lost 2

Qwen2.5 1.5B Instructwon 4 · lost 2

WizardLM 2.8x22Bwon 4 · lost 2

Gemma 4 12Bwon 4 · lost 2

Llama 3.3 Instruct Turbo (70B)won 4 · lost 2

Granite 3.0 3B A800M Instructwon 4 · lost 2

Qwen1.5 14B Chatwon 5 · lost 3

DBRX Instructwon 5 · lost 3

GPT-3.5 Turbowon 5 · lost 3

Llama 3.1 8B Instructwon 5 · lost 3

Command R Pluswon 5 · lost 3

QwQ 32Bwon 5 · lost 3

Command Awon 5 · lost 3

Mistral Smallwon 5 · lost 3

NVIDIA Nemotron 3 Super 120B A12Bwon 5 · lost 3

DeepSeek V3won 5 · lost 3

GLM-4.5won 5 · lost 3

DeepSeek R1won 5 · lost 3

GLM-4.6won 5 · lost 3

Grok 4.1 Fastwon 5 · lost 3

MiniMax M3won 5 · lost 3

GLM-5.2won 5 · lost 3

Gemini 3.5 Flashwon 5 · lost 3

Gemini 3.6 Flashwon 5 · lost 3

Command Rwon 3 · lost 2

SEA LION V1 7B ITwon 3 · lost 3

NexusRaven V2 13Bwon 3 · lost 3

Phi-4 Mini Instructwon 3 · lost 3

Komodo 7B Basewon 3 · lost 3

IBM Granite 4.0 Microwon 3 · lost 3

Granite 3.2 2B Instructwon 3 · lost 3

Llama 3.1 Instruct Turbo (8B)won 3 · lost 3

Open Mixtral 8x22bwon 3 · lost 3

Reflection Llama 3.1 70Bwon 3 · lost 3

Qwen2.5 32B Instructwon 3 · lost 3

Qwen2.5 14B Instructwon 3 · lost 3

Llama 3 70B Chat HFwon 3 · lost 3

Phi 3.5 Mini Instructwon 3 · lost 3

Krutrim 2 Instructwon 3 · lost 3

Llama 3 8B Instruct RRwon 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

Phi 3 Small 8k Instructwon 4 · lost 4

DeepSeek LLM 67B Chatwon 4 · lost 4

Jamba 1.5 Miniwon 4 · lost 4

Gemma 2 9B Itwon 4 · lost 4

Mistral Small 24B Instructwon 4 · lost 4

Jamba 1.5 Largewon 4 · lost 4

Gemma 3 4B Itwon 4 · lost 4

Llama 4 Scout Instructwon 4 · lost 4

Gemini 2.0 Flash Litewon 4 · lost 4

DeepSeek V3.2won 4 · lost 4

Gemma 4 26B A4Bwon 4 · lost 4

Grok 4.3won 4 · lost 4

Gemini 2.5 Prowon 4 · lost 4

Kimi K2.5won 4 · lost 4

Gemma 4 31Bwon 4 · lost 4

Kimi K2.6won 4 · lost 4

Mimo V2.5 Prowon 4 · lost 4

Qwen3.7 Maxwon 4 · lost 4

Granite 3.0 2B Instructwon 3 · lost 5

Granite 3.1 2B Instructwon 3 · lost 5

Phi 3 Medium 4k Instructwon 3 · lost 5

Gemma 2 2B Itwon 3 · lost 5

Llama 3.1 Tulu 3 8Bwon 3 · lost 5

Nova Litewon 3 · lost 5

Nova Prowon 3 · lost 5

Mistral Largewon 3 · lost 5

Llama 4 Maverick Instructwon 3 · lost 5

Gemma 3 27B Itwon 3 · lost 5

DeepSeek V4 Prowon 3 · lost 5

GLM-5.3 Flashwon 3 · lost 5

Dolphin 2.5 Mixtral 8x7bwon 2 · lost 4

Llama 3.1 Instruct Turbo (405B)won 2 · lost 4

Gemma2 9B Cpt Sea Lionv3 Instructwon 2 · lost 4

Apertus 8B Instructwon 2 · lost 4

DeepSeek Chatwon 2 · lost 4

LongWriter Glm4 9Bwon 2 · lost 4

Qwen2.5 14B Instruct 1Mwon 2 · lost 4

Qwen2 VL 72Bwon 2 · lost 4

GLM-5 Turbowon 2 · lost 4

Granite 3.1 3B A800M Instructwon 2 · lost 4

Qwen 2.5 Instruct Turbo (7B)won 2 · lost 4

Sarvam 30Bwon 2 · lost 4

Phi 3 Medium 128k Instructwon 2 · lost 4

GPT-5.6 Astrawon 2 · lost 4

Phi 3 Small 128k Instructwon 2 · lost 4

GPT OSS Safeguard 20Bwon 2 · lost 4

EAI Llama 3.1 8B Instruct SageAlignwon 2 · lost 4

Apertus 70B Instructwon 2 · lost 4

Granite 4.0 H Tinywon 2 · lost 4

K2 Chatwon 2 · lost 4

Llama 3.1 Tulu 3 8B SFTwon 2 · lost 4

Llama 3.1 Tulu 3 8B DPOwon 2 · lost 4

EAI SageAlign 8B LoRAwon 2 · lost 4

Phi 3.5 MoE Instructwon 2 · lost 4

Llama 3 8B Chat Hfwon 2 · lost 4

Titan Text Express V1won 2 · lost 4

Internlm2 Chat 20Bwon 2 · lost 4

Sarvam 105Bwon 2 · lost 4

Llama 3 8B Instruct MopeyMulewon 2 · lost 4

Llama 3.2 90B Vision Instruct Turbowon 2 · lost 4

Meta SecAlign 8Bwon 2 · lost 4

Claude Sonnet 4.6won 2 · lost 4

Granite 3.0 8B Instructwon 2 · lost 6

Granite 3.1 8B Instructwon 2 · lost 6

Llama 3 8B Instructwon 2 · lost 6

Nova Microwon 2 · lost 6

C4ai Aya Expanse 32Bwon 2 · lost 6

GPT-4won 2 · lost 6

Gemini 1.5 Flashwon 2 · lost 6

GPT-4o Miniwon 2 · lost 6

Qwen Maxwon 2 · lost 6

GPT OSS 20Bwon 2 · lost 6

GPT-4.1 Nanowon 2 · lost 6

Gemma 3 12B Itwon 2 · lost 6

Gemini 1.5 Prowon 2 · lost 6

GPT OSS 120Bwon 2 · lost 6

Gemini 2.0 Flashwon 2 · lost 6

GPT-4.1 Miniwon 2 · lost 6

Claude 3.7 Sonnetwon 2 · lost 6

Gemini 2.5 Flashwon 2 · lost 6

Qwen3 Vl 235B A22B Instructwon 2 · lost 6

Kimi K2won 2 · lost 6

Qwen3 235B A22B Instructwon 2 · lost 6

GPT-5.4won 2 · lost 6

Qwen3.8 Maxwon 2 · lost 6

Mimo V2.6 Prowon 2 · lost 6

Gemini 3.8 Flashwon 2 · lost 6

Qwen1.5 72B Chatwon 1 · lost 4

Olmo 2 32B Instructwon 1 · lost 4

Qwen2 57B A14B Instructwon 1 · lost 5

Smaug Llama 3 70B Instructwon 1 · lost 5

Kimi K2 Thinkingwon 1 · lost 5

SeaLLM 7B V2won 1 · lost 5

Granite 4.0 H Microwon 1 · lost 5

Llama 3.2 Vision (11B)won 1 · lost 5

Llama 3.1 Nemotron 70B Instruct HFwon 1 · lost 5

Llama 2 70B Chat Hfwon 1 · lost 5

Llama 2 13B Chat Hfwon 1 · lost 5

Fugu Ultra V2won 1 · lost 5

Nova Premierwon 1 · lost 5

Granite 4.0 H Smallwon 1 · lost 5

Llama 2 7B Chat Hfwon 1 · lost 5

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

Claude Opus 4.6won 1 · lost 5

C4ai Aya Expanse 8Bwon 1 · lost 7

Phi 4won 1 · lost 7

Claude 3 Haikuwon 1 · lost 7

Llama 3 70B Instructwon 1 · lost 7

GPT-4 Turbowon 1 · lost 7

Claude 3.5 Haikuwon 1 · lost 7

GPT-4owon 1 · lost 7

O1 Miniwon 1 · lost 7

GPT-5 Nanowon 1 · lost 7

O3 Miniwon 1 · lost 7

Claude 3.5 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

Qwen3.5 27Bwon 1 · lost 7

Claude Haiku 4.5won 1 · lost 7

GPT-4.1won 1 · lost 7

MiniMax M2.7won 1 · lost 7

Qwen3.5 122B A10Bwon 1 · lost 7

O3won 1 · lost 7

GPT-5won 1 · lost 7

GPT-5.2won 1 · lost 7

GPT-6 Lunawon 1 · lost 7

Inklingwon 1 · lost 7

Qwen3.5 397B A17Bwon 1 · lost 7

Grok 4.6won 1 · lost 7

GPT-5.6 Lunawon 1 · lost 7

GPT-5.1won 1 · lost 7

GPT-6 Solwon 1 · lost 7

Hy3won 1 · lost 7

Claude Sonnet 4.5won 1 · lost 7

GLM-5.1won 1 · lost 7

Grok 4.5won 1 · lost 7

GPT-5.6 Terrawon 1 · lost 7

GPT-5.5won 1 · lost 7

GPT-5.6 Solwon 1 · lost 7

Claude Opus 5won 1 · lost 7

Muse Spark 1.1won 1 · lost 7

Claude Opus 5.5won 1 · lost 7

Grok 3 Mini Betawon 0 · lost 5

Qwen3 Next 80B A3B Thinkingwon 0 · lost 5

GLM-4.5 Airwon 0 · lost 5

Gemini 2.5 Flash Litewon 0 · lost 5

GPT-4.5won 0 · lost 5

Gemini 3 Prowon 0 · lost 5

Cogito 671B V2 P1won 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

Qwen2 72B Instructwon 0 · lost 8

Claude 3 Sonnetwon 0 · lost 8

Gemma 2 27B Itwon 0 · lost 8

Qwen2.5 72B Instructwon 0 · lost 8

Claude 3 Opuswon 0 · lost 8

MiniMax M2won 0 · lost 8

Claude Sonnet 4won 0 · lost 8

Claude Opus 4won 0 · lost 8

Grok 4.7won 0 · lost 8

Claude Sonnet 5won 0 · lost 8

Claude Opus 4.8won 0 · lost 8

Claude Opus 4.7won 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 2026-09-26

LMArena Text 1171

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

Enkrypt · Jailbreak risk 15.1%Enkrypt · Harmful content risk 52.2%Enkrypt · CBRN risk 11.2%Enkrypt · Toxicity risk 1.5%Enkrypt · Bias risk 78.8%Enkrypt · Insecure code risk 31.6%

Badge

[![PublicAI Index](https://publicai.io/model-index/badge?model=starling-lm-7b-beta)](https://publicai.io/model-index/m/starling-lm-7b-beta)