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Llama 3.3 Nemotron Super 49B v1.5

NVIDIA · 49B

Strongest in Human preference (#181 of 350), weakest in Human preference (#181 of 350). Above par in 2 of 2 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Muse Wonder and ahead of Gemma 3 12B IT and Mercury 2.

§ 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.

Human preference51.3#181/350
Human preference51.3#181/350

§ 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 3.3 Nemotron Super 49B v1.5, left for the other.

Koala 13Bwon 2 · lost 0
RWKV-4 Raven 14Bwon 2 · lost 0
Alpaca 13Bwon 2 · lost 0
OLMo 7B Instructwon 2 · lost 0
FastChat-T5 3Bwon 2 · lost 0
ChatGLM 6Bwon 2 · lost 0
ChatGLM3 6Bwon 2 · lost 0
MPT 7B Chatwon 2 · lost 0
Dolly 2.0 12Bwon 2 · lost 0
ChatGLM2 6Bwon 2 · lost 0
GPT4All 13B Snoozywon 2 · lost 0
LLaMA 13Bwon 2 · lost 0
Qwen1.5 4B Chatwon 2 · lost 0
Gemma 2B ITwon 2 · lost 0
Llama 2 7B Chatwon 2 · lost 0
Llama 3.2 1B Instructwon 2 · lost 0
Mistral 7B Instructwon 2 · lost 0
Vicuna 7Bwon 2 · lost 0
SmolLM2 1.7B Instructwon 2 · lost 0
Gemma 1.1 2B ITwon 2 · lost 0
StripedHyena Nous 7Bwon 2 · lost 0
Zephyr 7B Alphawon 2 · lost 0
Guanaco 33Bwon 2 · lost 0
Zephyr 7B Betawon 2 · lost 0
Gemma 7B ITwon 2 · lost 0
PaLM 2won 2 · lost 0
Qwen 14B Chatwon 2 · lost 0
Vicuna 13Bwon 2 · lost 0
Llama 2 13B Chatwon 2 · lost 0
Phi-3 Mini 4K Instructwon 2 · lost 0
Qwen1.5 7B Chatwon 2 · lost 0
Falcon 180B Chatwon 2 · lost 0
WizardLM 13Bwon 2 · lost 0
MPT 30B Chatwon 2 · lost 0
Llama 3.2 3B Instructwon 2 · lost 0
Starling LM 7B Alphawon 2 · lost 0
Llama 2 70B Chatwon 2 · lost 0
Starling LM 7B Betawon 2 · lost 0
Vicuna 33Bwon 2 · lost 0
Tulu 2 DPO 70Bwon 2 · lost 0
Gemma 1.1 7B ITwon 2 · lost 0
OpenChat 3.5won 2 · lost 0
Yi 34B Chatwon 2 · lost 0
WizardLM 70Bwon 2 · lost 0
DeepSeek LLM 67B Chatwon 2 · lost 0
InternLM2.5 20B Chatwon 2 · lost 0
Qwen1.5 14B Chatwon 2 · lost 0
DBRX Instructwon 2 · lost 0
Mixtral 8x7B Instructwon 2 · lost 0
Gemma 2 2B ITwon 2 · lost 0
Qwen1.5 32B Chatwon 2 · lost 0
GPT-3.5 Turbowon 2 · lost 0
Llama 3.1 8B Instructwon 2 · lost 0
Yi 1.5 34B Chatwon 2 · lost 0
Llama 3.1 Tulu 3 8Bwon 2 · lost 0
Mistral Mediumwon 2 · lost 0
Aya Expanse 8Bwon 2 · lost 0
Llama 3 8B Instructwon 2 · lost 0
Gemini Prowon 2 · lost 0
Reka Flash 21Bwon 2 · lost 0
Mixtral 8x22B Instructwon 2 · lost 0
Hunyuan Standard 256Kwon 2 · lost 0
Qwen1.5 72B Chatwon 2 · lost 0
Qwen1.5 110B Chatwon 2 · lost 0
Gemini Pro (Dev API)won 2 · lost 0
Ministral 8Bwon 2 · lost 0
Jamba 1.5 Miniwon 2 · lost 0
Amazon Nova Micro 1.0won 2 · lost 0
Command R (08-2024)won 2 · lost 0
OLMo 2 32B Instructwon 2 · lost 0
Phi 4won 2 · lost 0
Gemini 1.5 Flash-8Bwon 2 · lost 0
Amazon Nova Lite 1.0won 2 · lost 0
Claude 3 Haikuwon 2 · lost 0
Qwen2 72B Instructwon 2 · lost 0
DeepSeek Coder V2won 2 · lost 0
Gemma 2 9B ITwon 2 · lost 0
Aya Expanse 32Bwon 2 · lost 0
Reka Flashwon 2 · lost 0
GLM-4won 2 · lost 0
GPT-4won 2 · lost 0
Command R+ (08-2024)won 2 · lost 0
Llama 3 70B Instructwon 2 · lost 0
Gemma 2 9B IT SimPOwon 2 · lost 0
Claude 3 Sonnetwon 2 · lost 0
Olmo 3.1 32B Thinkwon 2 · lost 0
Llama 3.1 Tulu 3 70Bwon 2 · lost 0
Granite 4.0 H Smallwon 2 · lost 0
Reka Corewon 2 · lost 0
Gemma 2 27B ITwon 2 · lost 0
Amazon Nova Pro 1.0won 2 · lost 0
Jamba 1.5 Largewon 2 · lost 0
Granite 4.2 8Bwon 2 · lost 0
Granite 4.2 3Bwon 2 · lost 0
Llama 3.1 70B Instructwon 2 · lost 0
Hunyuan Large Visionwon 2 · lost 0
Qwen2.5 72B Instructwon 2 · lost 0
Gemma 3 4B ITwon 2 · lost 0
Granite 4.1 8Bwon 2 · lost 0
Magistral Mediumwon 2 · lost 0
Mistral Largewon 2 · lost 0
Olmo 3 32B Thinkwon 2 · lost 0
Mercurywon 2 · lost 0
Athene 70Bwon 2 · lost 0
Grok 2 miniwon 2 · lost 0
Gemini 1.5 Flashwon 2 · lost 0
Hunyuan Standardwon 2 · lost 0
Mistral Large 2won 2 · lost 0
Athene V2 Chatwon 2 · lost 0
Qwen2.5 Pluswon 2 · lost 0
GPT-4o miniwon 2 · lost 0
Llama 3.3 70B Instructwon 2 · lost 0
Gemma 3n E4B ITwon 2 · lost 0
Qwen Maxwon 2 · lost 0
GPT OSS 20Bwon 2 · lost 0
Step-1o Turbowon 2 · lost 0
Claude 3 Opuswon 2 · lost 0
Llama 4 Scout Instructwon 2 · lost 0
GPT-4.1 nanowon 2 · lost 0
Molmo 2 8Bwon 2 · lost 0
Ring Flash 2.0won 2 · lost 0
DeepSeek V2.5won 2 · lost 0
Claude 3.5 Haikuwon 2 · lost 0
GPT-4 Turbowon 2 · lost 0
Hunyuan Largewon 2 · lost 0
Yi Lightningwon 2 · lost 0
Olmo 3.1 32B Instructwon 2 · lost 0
Step-2 16Kwon 2 · lost 0
Amazon Nova 2 Litewon 2 · lost 0
Gemini Advancedwon 2 · lost 0
QwQ 32Bwon 2 · lost 0
Grok 2won 2 · lost 0
GPT-4owon 2 · lost 0
O1 Miniwon 2 · lost 0
GPT-5 nanowon 2 · lost 0
Granite 4.2 30Bwon 2 · lost 0
Hunyuan Turbowon 2 · lost 0
Mercury 2won 2 · lost 0
Gemma 3 12B ITwon 2 · lost 0
GLM-4 Pluswon 0 · lost 2
Ling Flash 2.0won 0 · lost 2
MiniMax M2won 0 · lost 2
Qwen Pluswon 0 · lost 2
Qwen3 32Bwon 0 · lost 2
Step 3won 0 · lost 2
Gemini 1.5 Prowon 0 · lost 2
GLM-4.5Vwon 0 · lost 2
GPT OSS 120Bwon 0 · lost 2
Gemini 2.0 Flash-Litewon 0 · lost 2
Command A (03-2025)won 0 · lost 2
INTELLECT 3won 0 · lost 2
Mistral Small 3.2won 0 · lost 2
Gemini 2.0 Flashwon 0 · lost 2
O3 Miniwon 0 · lost 2
Grok 3 Miniwon 0 · lost 2
MiniMax M1won 0 · lost 2
GLM-4.7 Flashwon 0 · lost 2
Gemma 3 27B ITwon 0 · lost 2
Trinity Largewon 0 · lost 2
GLM-4.5 Airwon 0 · lost 2
Qwen2.5 Maxwon 0 · lost 2
Claude 3.5 Sonnetwon 0 · lost 2
Gemini 2.5 Flash-Litewon 0 · lost 2
GLM-4.6Vwon 0 · lost 2
Qwen3 30B A3B Instructwon 0 · lost 2
Hunyuan TurboSwon 0 · lost 2
GPT-4.1 miniwon 0 · lost 2
MiniMax M2.1won 0 · lost 2
MiMo V2 Flashwon 0 · lost 2
Hunyuan T1won 0 · lost 2
Mistral Medium 3won 0 · lost 2
Solar Pro 4won 0 · lost 2
Claude 3.7 Sonnetwon 0 · lost 2
GPT-5 miniwon 0 · lost 2
MiniMax M2.5won 0 · lost 2
O4 Miniwon 0 · lost 2
Step 3.5 Flashwon 0 · lost 2
Hunyuan Vision 1.5won 0 · lost 2
Qwen3.5 35B A3Bwon 0 · lost 2
DeepSeek V3won 0 · lost 2
Qwen3.5 Flashwon 0 · lost 2
LongCat Flash Chatwon 0 · lost 2
GPT-5.4 nanowon 0 · lost 2
O1won 0 · lost 2
Claude Sonnet 4won 0 · lost 2
Grok 4 Fastwon 0 · lost 2
Inkling Smallwon 0 · lost 2
Mistral Medium 3.1won 0 · lost 2
Qwen3.5 27Bwon 0 · lost 2
Gemini 2.5 Flashwon 0 · lost 2
GLM-4.5won 0 · lost 2
Grok 3won 0 · lost 2
Grok 4won 0 · lost 2
GPT-4.1won 0 · lost 2
Mistral Large 3won 0 · lost 2
MiniMax M2.7won 0 · lost 2
Claude Haiku 4.5won 0 · lost 2
DeepSeek V3.1 Terminuswon 0 · lost 2
DeepSeek V3.1won 0 · lost 2
Qwen3.5 122B A10Bwon 0 · lost 2
Kimi K2won 0 · lost 2
DeepSeek R1won 0 · lost 2
DeepSeek V3.2won 0 · lost 2
Qwen3 Maxwon 0 · lost 2
GLM-4.6won 0 · lost 2
Muse Glimmerwon 0 · lost 2
Nova Experimental Chatwon 0 · lost 2
Mistral Medium 3.5won 0 · lost 2
GPT-5 Chatwon 0 · lost 2
Claude Opus 4won 0 · lost 2
Kimi K2 Thinking Turbowon 0 · lost 2
Grok 4.1 Fastwon 0 · lost 2
Kimi K2.5 (Instant)won 0 · lost 2
MiMo V2 Omniwon 0 · lost 2
O3won 0 · lost 2
Mistral Large 4won 0 · lost 2
GLM-5V Turbowon 0 · lost 2
Gemini 3.1 Flash-Litewon 0 · lost 2
MiMo V2.5won 0 · lost 2
GPT-5won 0 · lost 2
eam 1.0 501B A23won 0 · lost 2
Gemma 4 26B A4Bwon 0 · lost 2
Qwen3.8 27Bwon 0 · lost 2
GPT-5.2won 0 · lost 2
DeepSeek V4 Flashwon 0 · lost 2
GLM-4.7won 0 · lost 2
Inklingwon 0 · lost 2
MiniMax M3won 0 · lost 2
GPT-6 Lunawon 0 · lost 2
Qwen3.5 397B A17Bwon 0 · lost 2
Grok 4.7won 0 · lost 2
Grok 4.3won 0 · lost 2
Qwen3.6 Pluswon 0 · lost 2
ChatGPT-4owon 0 · lost 2
GPT-4.5won 0 · lost 2
Gemini 2.5 Prowon 0 · lost 2
Step 5won 0 · lost 2
ERNIE 5.0won 0 · lost 2
GPT-5.4 miniwon 0 · lost 2
MiMo V2 Prowon 0 · lost 2
MiMo V2.6 Flashwon 0 · lost 2
GPT-5.3 Chatwon 0 · lost 2
Kimi K2.5won 0 · lost 2
Claude Opus 4.1won 0 · lost 2
Gemma 4 31Bwon 0 · lost 2
GPT-5.6 Lunawon 0 · lost 2
Hy3won 0 · lost 2
Grok 4.6won 0 · lost 2
Gemini 3.5 Flash-Litewon 0 · lost 2
GPT-5.1won 0 · lost 2
Qwen3.7 Pluswon 0 · lost 2
Dola Seed 2.0 Prowon 0 · lost 2
GLM-5won 0 · lost 2
GPT-6 Solwon 0 · lost 2
Qwen3.6 Maxwon 0 · lost 2
Kimi K2.6won 0 · lost 2
Claude Sonnet 5won 0 · lost 2
Qwen3.5 Maxwon 0 · lost 2
GLM-5.1won 0 · lost 2
Grok 4.5won 0 · lost 2
Grok 4.1won 0 · lost 2
MiMo V2.5 Prowon 0 · lost 2
ERNIE 5.1won 0 · lost 2
GPT-5.6 Terrawon 0 · lost 2
Grok 4.20 Multi-Agentwon 0 · lost 2
Claude Sonnet 4.6won 0 · lost 2
GPT-5.5 Instantwon 0 · lost 2
Gemini 3 Flashwon 0 · lost 2
Qwen3.7 Maxwon 0 · lost 2
DeepSeek V4.1 Flashwon 0 · lost 2
Grok 4.20 1won 0 · lost 2
GLM-5.3 Flashwon 0 · lost 2
GPT-5.4won 0 · lost 2
GPT-5.2 Chatwon 0 · lost 2
GPT-6 Astrawon 0 · lost 2
GLM-5.2won 0 · lost 2
Claude Sonnet 5.5won 0 · lost 2
Gemini 3.5 Flashwon 0 · lost 2
GPT-6.1 Solwon 0 · lost 2
MiMo V2.6 Prowon 0 · lost 2
GLM-5.3won 0 · lost 2
Claude Opus 4.8won 0 · lost 2
GPT-5.5won 0 · lost 2
Qwen3.8 Maxwon 0 · lost 2
Gemini 3.6 Flashwon 0 · lost 2
GPT-5.6 Solwon 0 · lost 2
Gemini 3 Prowon 0 · lost 2
Gemini 3.1 Prowon 0 · lost 2
Kimi K3won 0 · lost 2
Muse Sparkwon 0 · lost 2
Gemini 3.7 Flashwon 0 · lost 2
Muse Spark 1.1won 0 · lost 2
Claude Opus 5won 0 · lost 2
Muse Spark 1.2won 0 · lost 2
Muse Spark 1.3won 0 · lost 2
Gemini 3.8 Flashwon 0 · lost 2
Claude Opus 4.7won 0 · lost 2
Claude Fable 5.1won 0 · lost 2
Claude Opus 4.6won 0 · lost 2
Claude Fable 5won 0 · lost 2
Claude Opus 5.5won 0 · lost 2
Muse Wonderwon 0 · lost 2
Gemini 4 Argonwon 0 · lost 2

§ 3 · Sources

Where the numbers come from

1 publication, 1 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-10-21
LMArena Text 1343

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PublicAI Index badge for Llama 3.3 Nemotron Super 49B v1.5[![PublicAI Index](https://publicai.io/model-index/badge?model=llama-3-3-nemotron-super-49b-v1-5)](https://publicai.io/model-index/m/llama-3-3-nemotron-super-49b-v1-5)