The LLM benchmark aggregator.

Amazon Nova Pro

Amazon

Strongest in Factual grounding (#11 of 104), weakest in Human preference (#238 of 354). Above par in 5 of 11 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.8 and Claude Sonnet 5 and ahead of Grok 4.1 Fast and GLM-4.6.

§ 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.

Safety53−8.4#103/3292/3

Factual grounding62.3−8.4#11/1041/1

Harm refusal56.6−4.9#39/2921/2

Jailbreak resistance55.9−9.1#102/2681/1

Toxicity avoidance52.9−6.1#152/2681/1

Fairness45.5−24.5#178/2921/2

Secure code40.8−25.4#211/2701/1

Agents46.1−20.3#198/2981/6

Tool use40.7−33.3#64/811/1

Human preference46.1−22.7#238/3541/1

§ 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 Amazon Nova Pro, left for the other.

Gemma 2B ITwon 8 · lost 0

SmolLM2 1.7B Instructwon 8 · lost 0

Nous Hermes 2 Mixtral 8x7B DPOwon 8 · lost 0

Llama 3.2 3B Instructwon 10 · lost 0

Command R+won 8 · lost 1

OLMo 7B Instructwon 7 · lost 1

Gemma 7B ITwon 7 · lost 1

Mistral 7B Instruct v0.2won 7 · lost 1

DeepSeek LLM 67B Chatwon 7 · lost 1

DBRX Instructwon 7 · lost 1

Mixtral 8x7B Instructwon 7 · lost 1

GPT-3.5 Turbowon 7 · lost 1

Jamba 1.5 Miniwon 7 · lost 1

Jamba Mini 1.7won 6 · lost 1

Magistral Small 1.2won 6 · lost 1

Llama 3.2 1B Instructwon 8 · lost 2

Phi-4 Mini Instructwon 6 · lost 2

Zephyr 7B Betawon 6 · lost 2

Granite 3.0 2B Instructwon 6 · lost 2

Phi-3 Small 8K Instructwon 6 · lost 2

Granite 3.1 2B Instructwon 6 · lost 2

Qwen1.5 14B Chatwon 6 · lost 2

Gemma 2 2B ITwon 6 · lost 2

Gemma 2 9B ITwon 6 · lost 2

Jamba 1.5 Largewon 6 · lost 2

Jamba Large 1.7won 5 · lost 2

Gemma 4 E2Bwon 5 · lost 2

Gemma 4 E4Bwon 5 · lost 2

Phi-3 Mini 4K Instructwon 5 · lost 2

Gemma 4 31Bwon 7 · lost 3

Amazon Nova Microwon 7 · lost 4

Gemma 3 4B ITwon 7 · lost 4

Command R7Bwon 5 · lost 3

Phi-3 Mini 128K Instructwon 5 · lost 3

Starling LM 7B Betawon 5 · lost 3

Granite 3.0 8B Instructwon 5 · lost 3

Phi-3 Medium 4K Instructwon 5 · lost 3

Llama 3 8B Instructwon 5 · lost 3

Mixtral 8x22B Instructwon 5 · lost 3

Amazon Nova Litewon 5 · lost 3

Mistral Small 3 24B Instructwon 5 · lost 3

GPT-4won 5 · lost 3

Llama 3.1 70B Instructwon 5 · lost 3

Grok 3won 5 · lost 3

Llama 3.1 8B Instructwon 6 · lost 4

DeepSeek V3won 6 · lost 4

DeepSeek R1won 6 · lost 4

Gemma 4 26B A4Bwon 6 · lost 4

DeepSeek V4 Prowon 6 · lost 4

Granite 3.2 8B Instructwon 4 · lost 3

Gemma 4 12Bwon 4 · lost 3

Ling 3.0 Flashwon 4 · lost 3

Ling 3.0 Flash VLwon 4 · lost 3

Qwen3 8Bwon 5 · lost 4

Aya Expanse 8Bwon 5 · lost 4

Granite 4.0 H Smallwon 5 · lost 4

GPT OSS 20Bwon 5 · lost 4

DeepSeek V3.1won 5 · lost 4

NVIDIA Nemotron 3 Ultra 550B A55Bwon 5 · lost 4

DeepSeek V4 Flashwon 5 · lost 4

Grok 4.3won 5 · lost 4

GLM-4.6won 6 · lost 5

Grok 4.1 Fastwon 6 · lost 5

Llama 2 70B Chatwon 4 · lost 4

Llama 3.1 Tulu 3 8Bwon 4 · lost 4

Claude 3 Haikuwon 4 · lost 4

Aya Expanse 32Bwon 4 · lost 4

Llama 3 70B Instructwon 4 · lost 4

Magistral Mediumwon 4 · lost 4

Gemini 1.5 Flashwon 4 · lost 4

QwQ 32Bwon 4 · lost 4

Gemini 1.5 Prowon 4 · lost 4

Gemini 2.0 Flash-Litewon 4 · lost 4

Qwen3 VL 235B A22B Instructwon 4 · lost 4

Granite 3.1 8B Instructwon 5 · lost 5

Mercury 2won 5 · lost 5

Gemini 2.5 Prowon 5 · lost 5

GPT-6 Solwon 5 · lost 5

Kimi K2.6won 5 · lost 5

Llama 3.3 70B Instructwon 5 · lost 6

Llama 4 Scout Instructwon 5 · lost 6

Gemma 3 12B ITwon 5 · lost 6

Command Awon 5 · lost 6

Gemini 2.5 Flashwon 5 · lost 6

DeepSeek V3.2won 5 · lost 6

NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 5

MiMo V2.6 Flashwon 4 · lost 5

Qwen3.7 Maxwon 4 · lost 5

GLM-5.2won 4 · lost 5

Gemini 3.6 Flashwon 4 · lost 5

Kimi K2.7 Codewon 3 · lost 4

Qwen3 Next 80B A3B Thinkingwon 3 · lost 4

GLM-4.5won 3 · lost 4

GPT-4.1 nanowon 4 · lost 6

Qwen3 30B A3B Instructwon 4 · lost 6

Grok 4won 4 · lost 6

Kimi K2.5won 4 · lost 6

GPT-5.5won 4 · lost 6

GPT-5.6 Solwon 4 · lost 6

Llama 2 7B Chatwon 3 · lost 5

Llama 2 13B Chatwon 3 · lost 5

Qwen2 72B Instructwon 3 · lost 5

Gemma 2 27B ITwon 3 · lost 5

Llama 3.1 405B Instructwon 3 · lost 5

Gemini 2.0 Flashwon 3 · lost 5

Claude Sonnet 4.6won 3 · lost 5

Gemini 3 Prowon 3 · lost 5

Llama 4 Maverick Instructwon 4 · lost 7

Gemma 3 27B ITwon 4 · lost 7

Kimi K2won 4 · lost 7

Qwen3.5 27Bwon 3 · lost 6

Mistral Large 4won 3 · lost 6

MiniMax M3won 3 · lost 6

GPT-6 Lunawon 3 · lost 6

GPT-5.6 Lunawon 3 · lost 6

GLM-5.1won 3 · lost 6

Grok 4.5won 3 · lost 6

MiMo V2.5 Prowon 3 · lost 6

GPT-5.6 Terrawon 3 · lost 6

GLM-5.3 Flashwon 3 · lost 6

Gemini 3.5 Flashwon 3 · lost 6

Qwen3.8 Maxwon 3 · lost 6

Gemini 3.8 Flashwon 3 · lost 6

GPT-4owon 3 · lost 7

GPT OSS 120Bwon 3 · lost 7

GPT-4.1 miniwon 3 · lost 7

Qwen3.5 35B A3Bwon 3 · lost 7

Qwen3.5 122B A10Bwon 3 · lost 7

GPT-5.4won 3 · lost 7

Claude Opus 4.6won 2 · lost 5

GPT-4.1won 3 · lost 8

Qwen3 235B A22B Instructwon 3 · lost 8

Claude 3 Sonnetwon 2 · lost 6

Llama 3.1 Nemotron 70B Instructwon 2 · lost 6

GPT-4o miniwon 2 · lost 7

Claude 3.5 Haikuwon 2 · lost 7

O3 Miniwon 2 · lost 7

Claude Opus 4won 2 · lost 7

Qwen3.5 397B A17Bwon 2 · lost 7

MiMo V2.6 Prowon 2 · lost 7

Claude Opus 5won 2 · lost 7

Claude Sonnet 4won 2 · lost 8

MiniMax M2.7won 2 · lost 8

GPT-5.1won 2 · lost 8

Phi 4won 2 · lost 9

GPT-5 miniwon 2 · lost 9

O4 Miniwon 2 · lost 9

Qwen2.5 72B Instructwon 1 · lost 7

Qwen Maxwon 1 · lost 7

MiniMax M2won 1 · lost 7

Gemini 2.5 Flash-Litewon 1 · lost 7

Claude 3.7 Sonnetwon 1 · lost 8

Grok 4.7won 1 · lost 8

Inklingwon 1 · lost 8

Grok 4.6won 1 · lost 8

Muse Spark 1.1won 1 · lost 8

O3won 1 · lost 9

GPT-5won 1 · lost 9

Claude Opus 4.7won 1 · lost 9

Claude Opus 5.5won 1 · lost 9

GPT-5 nanowon 1 · lost 10

Claude Haiku 4.5won 1 · lost 10

GPT-5.2won 1 · lost 10

Claude Sonnet 4.5won 1 · lost 10

Claude 3 Opuswon 0 · lost 8

GPT-4 Turbowon 0 · lost 8

O1 Miniwon 0 · lost 8

Claude 3.5 Sonnetwon 0 · lost 8

O1won 0 · lost 8

Hy3won 0 · lost 9

Claude Sonnet 5won 0 · lost 9

Claude Opus 4.8won 0 · lost 9

§ 3 · Sources

Where the numbers come from

4 publications, 9 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10

LMArena Text 1290

BFCL ↗1 measureread 2026-11-10

BFCL v4 24.97%

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10

Enkrypt · Jailbreak risk 7.9%Enkrypt · Harmful content risk 17.8%Enkrypt · CBRN risk 5.5%Enkrypt · Toxicity risk 4.2%Enkrypt · Bias risk 84.8%Enkrypt · Insecure code risk 52%

Vectara Hallucination Leaderboard ↗1 measureread 2026-11-10

Vectara · Factual consistency 94.9%

Badge

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