The LLM benchmark aggregator.

Nova 2 Lite

Amazon

Strongest in Factual grounding (#11 of 101), weakest in Agents (#196 of 267). Above par in 4 of 7 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and Claude Sonnet 5 and ahead of Gemma 3 27B It and Granite 3.1 8B 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.

Safety53.8−7.7#74/3361/3

Factual grounding62.3−8.3#11/1011/1

Human preference50.8−16.7#185/3411/1

Agents44.1−24#196/2672/5

Tool use42.2−31.8#58/811/1

Knowledge work43.8−29.8#111/1771/2

§ 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 Nova 2 Lite, left for the other.

Llama 3.2 1B Instructwon 5 · lost 0

Llama 3.2 3B Instructwon 5 · lost 0

GPT-4won 5 · lost 0

GPT-4o Miniwon 5 · lost 0

Llama 3.1 8B Instructwon 6 · lost 0

Ministral 8Bwon 6 · lost 0

Nova Microwon 6 · lost 0

Gemma 3 4B Itwon 6 · lost 0

Llama 4 Scout Instructwon 6 · lost 1

Llama 4 Maverick Instructwon 6 · lost 1

GPT-4.1 Nanowon 5 · lost 1

Granite 4.2 8Bwon 4 · lost 1

Granite 4.2 3Bwon 4 · lost 1

Llama 3.3 70B Instructwon 4 · lost 1

GPT OSS 20Bwon 4 · lost 1

Claude 3.5 Haikuwon 4 · lost 1

Nova Prowon 4 · lost 2

Mercury 2won 4 · lost 2

Trinity Largewon 4 · lost 2

DeepSeek V3won 4 · lost 2

Mistral Large 3won 4 · lost 2

DeepSeek R1won 4 · lost 2

Gemini 3.1 Flash Litewon 4 · lost 2

Gemini 2.5 Prowon 4 · lost 2

Qwen3 14Bwon 3 · lost 2

Granite 3.1 8B Instructwon 3 · lost 2

Gemma 3 27B Itwon 4 · lost 3

Mistral Largewon 3 · lost 3

Qwen3 Next 80B A3B Thinkingwon 3 · lost 3

Gemma 3 12B Itwon 3 · lost 4

Qwen3 32Bwon 3 · lost 4

Gemma 4 31Bwon 3 · lost 4

Qwen3 8Bwon 2 · lost 3

O3 Miniwon 2 · lost 3

Phi 4won 2 · lost 4

Command Awon 2 · lost 4

Mistral Smallwon 2 · lost 4

GPT-4.1 Miniwon 2 · lost 4

O4 Miniwon 2 · lost 4

Qwen3.5 35B A3Bwon 2 · lost 4

Mistral Mediumwon 2 · lost 4

Gemini 2.5 Flashwon 2 · lost 4

Qwen3.5 122B A10Bwon 2 · lost 4

Kimi K2won 2 · lost 4

Grok 4.1 Fastwon 2 · lost 4

Gemma 4 26B A4Bwon 2 · lost 4

GPT-5.4 Miniwon 2 · lost 4

Kimi K2.5won 2 · lost 4

GPT-6 Solwon 2 · lost 4

Kimi K2.6won 2 · lost 4

DeepSeek V4 Prowon 2 · lost 4

Claude Sonnet 4.6won 2 · lost 4

Claude Opus 4.5won 2 · lost 4

GPT-6 Astrawon 2 · lost 4

GPT-5.6 Solwon 2 · lost 4

Gemini 3 Prowon 2 · lost 4

Gemini 3.1 Prowon 2 · lost 4

GLM-4.6won 2 · lost 5

DeepSeek V3.2won 2 · lost 5

NVIDIA Nemotron 3 Super 120B A12Bwon 1 · lost 4

Qwen3 30B A3B Instructwon 1 · lost 4

Grok 4won 1 · lost 4

DeepSeek V4 Flashwon 1 · lost 4

GPT-6 Lunawon 1 · lost 4

Grok 4.3won 1 · lost 4

GLM-5.1won 1 · lost 4

Mimo V2.5 Prowon 1 · lost 4

GLM-5.3 Flashwon 1 · lost 4

Qwen3.7 Maxwon 1 · lost 4

Gemini 3.5 Flashwon 1 · lost 4

Qwen3.8 Maxwon 1 · lost 4

Mimo V2.6 Prowon 1 · lost 4

Gemini 3.6 Flashwon 1 · lost 4

Gemini 3.8 Flashwon 1 · lost 4

GPT-5 Nanowon 1 · lost 5

GPT OSS 120Bwon 1 · lost 5

Claude Sonnet 4won 1 · lost 5

GPT-4.1won 1 · lost 5

Qwen3 235B A22B Instructwon 1 · lost 5

GPT-5won 1 · lost 5

GPT-5.2won 1 · lost 5

MiniMax M3won 1 · lost 5

GPT-5.6 Lunawon 1 · lost 5

GPT-5.1won 1 · lost 5

GPT-5.4won 1 · lost 5

GLM-5.2won 1 · lost 5

GPT-5.5won 1 · lost 5

Claude Opus 4.7won 1 · lost 5

GPT-5 Miniwon 1 · lost 6

Claude Haiku 4.5won 1 · lost 6

Claude Sonnet 4.5won 1 · lost 6

Granite 4.2 30Bwon 0 · lost 5

MiniMax M2.7won 0 · lost 5

O3won 0 · lost 5

Qwen3.8 27Bwon 0 · lost 5

Grok 4.7won 0 · lost 5

Qwen3.5 397B A17Bwon 0 · lost 5

Grok 4.6won 0 · lost 5

Hy3won 0 · lost 5

Grok 4.5won 0 · lost 5

Claude Opus 4.8won 0 · lost 5

Claude Opus 5won 0 · lost 5

Muse Spark 1.1won 0 · lost 5

Claude Opus 5.5won 0 · lost 5

Gemini 2.5 Flash Litewon 0 · lost 6

GPT-5.4 Nanowon 0 · lost 6

Inklingwon 0 · lost 6

Claude Sonnet 5won 0 · lost 6

GPT-5.6 Terrawon 0 · lost 6

§ 3 · Sources

Where the numbers come from

4 publications, 4 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-27

LMArena Text 1335

GDPval-AA ↗1 measureread 2026-09-27

GDPval-AA 354

BFCL ↗1 measureread 2026-09-27

BFCL v4 27.1%

Vectara Hallucination Leaderboard ↗1 measureread 2026-09-27

Vectara · Factual consistency 94.9%

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