The LLM benchmark aggregator.

HyperNova 60B (High, Based on gpt-oss-120b)

Multiverse Computing · 120B

Strongest in Knowledge work (#154 of 198), weakest in Agents (#246 of 289). Above par in 0 of 2 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of GPT-4.1 Nano and Llama 3.3 70B 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.

Agents42.7−23.2#246/2892/6

Knowledge work38.3−33.5#154/1982/2

§ 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 HyperNova 60B (High, Based on gpt-oss-120b), left for the other.

Qwen3 30B A3B Thinkingwon 2 · lost 0

K2 Think V2won 2 · lost 0

DeepSeek V3won 2 · lost 0

Llama 3.1 8B Instructwon 2 · lost 0

K2 Horizon 0.9Bwon 2 · lost 0

Phi-4 Mini Instructwon 2 · lost 0

Nanbeige4.1 3Bwon 2 · lost 0

Ministral 3 8Bwon 2 · lost 0

Qwen3.5 0.8Bwon 2 · lost 0

Granite 4.2 3Bwon 2 · lost 0

MiniCPM-V 4.6 1.3Bwon 2 · lost 0

NVIDIA Nemotron 3 Nano 30B A3Bwon 2 · lost 0

Solar Pro 3won 2 · lost 0

Gemma 3 27B Itwon 2 · lost 0

O3 Miniwon 2 · lost 0

Ministral 3 14Bwon 2 · lost 0

Gemma 3 12B Itwon 2 · lost 0

DeepSeek R1won 2 · lost 0

Celeris 1won 2 · lost 0

Qwen3 235B A22B Thinkingwon 2 · lost 0

Mistral Small 3.2won 2 · lost 0

North Mini Codewon 2 · lost 0

Gemma 4 E2Bwon 2 · lost 0

Llama 4 Scout Instructwon 2 · lost 0

Granite 4.1 3Bwon 2 · lost 0

Trinity Largewon 2 · lost 0

Mistral Small 4won 2 · lost 0

Gemini 3.1 Flash Litewon 2 · lost 0

Mistral Large 3won 2 · lost 0

Llama 3.3 70B Instructwon 2 · lost 0

GPT-4.1 Nanowon 2 · lost 0

NVIDIA Nemotron 3.5 Lightning 30B A3Bwon 1 · lost 1

Gemma 4 31Bwon 1 · lost 1

NVIDIA Nemotron 3 Ultra 550B A55Bwon 1 · lost 1

Gemini 3.1 Prowon 1 · lost 1

Nemotron 3 Nano 4Bwon 1 · lost 1

Qwen3.5 2Bwon 1 · lost 1

Gemma 4 E4Bwon 1 · lost 1

GPT-4o Miniwon 1 · lost 1

Llama 4 Maverick Instructwon 1 · lost 1

GPT-4won 1 · lost 1

GPT-4owon 1 · lost 1

LFM2.5 2.6Bwon 1 · lost 1

Magistral Small 1.2won 1 · lost 1

Ministral 3 3Bwon 1 · lost 1

Qwen3 14Bwon 1 · lost 1

Qwen3 8Bwon 1 · lost 1

Qwen3 32Bwon 1 · lost 1

Mistral Small 3.1 24B Instructwon 0 · lost 2

Mercury 2won 0 · lost 2

Gemini 2.5 Prowon 0 · lost 2

Qwen3.5 9Bwon 0 · lost 2

Granite 4.2 8Bwon 0 · lost 2

Mercury 2.5won 0 · lost 2

Inklingwon 0 · lost 2

Command A+won 0 · lost 2

Gemma 4 26B A4Bwon 0 · lost 2

Mistral Large 4won 0 · lost 2

Qwen3 Next 80B A3B Thinkingwon 0 · lost 2

Qwen3 Coder Nextwon 0 · lost 2

Mistral Medium 3.1won 0 · lost 2

Magistral Medium 1.2won 0 · lost 2

Granite 4.2 30Bwon 0 · lost 2

Nova 2 Litewon 0 · lost 2

Granite 4.1 30Bwon 0 · lost 2

Claude 3.5 Haikuwon 0 · lost 2

Devstral Small 2won 0 · lost 2

Devstral 2won 0 · lost 2

Nemotron 3 Nano Omni 30B A3B Reasoningwon 0 · lost 2

Claude Haiku 4.5won 0 · lost 2

Ling 3.0 Tinywon 0 · lost 2

Nemotron Cascade 2 30B A3Bwon 0 · lost 2

MiniCPM5 2Bwon 0 · lost 2

Ling 2.6 Flashwon 0 · lost 2

DiffusionGemma 26B A4Bwon 0 · lost 2

DeepSeek V3.1 Terminuswon 0 · lost 2

Nemotron 3.5 Super VLwon 0 · lost 2

GPT OSS 20Bwon 0 · lost 2

Beam 1.0won 0 · lost 2

K EXAONEwon 0 · lost 2

Muse Glimmerwon 0 · lost 2

Gemma 4 12Bwon 0 · lost 2

Mistral Medium 3.5won 0 · lost 2

Qwen3.5 122B A10Bwon 0 · lost 2

EXAONE 4.5 33Bwon 0 · lost 2

Nova 2.0 Pro Previewwon 0 · lost 2

KAT-Coder-Pro V1won 0 · lost 2

Qwen3.5 397B A17Bwon 0 · lost 2

NVIDIA Nemotron 3 Super 120B A12Bwon 0 · lost 2

Ring 2.6.1Twon 0 · lost 2

Qwen3.5 35B A3Bwon 0 · lost 2

GPT OSS 120Bwon 0 · lost 2

Mimo V2 Flashwon 0 · lost 2

Claude Sonnet 4won 0 · lost 2

Qwen3.6 35B A3Bwon 0 · lost 2

MiniMax M3won 0 · lost 2

GPT-5.4 Nanowon 0 · lost 2

LongCat 2.0won 0 · lost 2

Gemini 3.5 Flash Litewon 0 · lost 2

Muse Sparkwon 0 · lost 2

KAT Coder Pro V2won 0 · lost 2

GPT-4.1 Miniwon 0 · lost 2

GPT-5.5 Instantwon 0 · lost 2

GPT-5.3 Codexwon 0 · lost 2

K2 Horizon 3.7Bwon 0 · lost 2

A.X K2won 0 · lost 2

Grok 4.3won 0 · lost 2

MiniMax M2.7won 0 · lost 2

GPT-5.4 Miniwon 0 · lost 2

Mimo V2.5won 0 · lost 2

GPT-5 Miniwon 0 · lost 2

Qwen3.8 27Bwon 0 · lost 2

Ling 3.0 Flashwon 0 · lost 2

GPT-5.1won 0 · lost 2

Step 3.7 Flashwon 0 · lost 2

Qwen3.6 27Bwon 0 · lost 2

Muse Spark 1.2won 0 · lost 2

Gemini 3.5 Flashwon 0 · lost 2

GPT-5won 0 · lost 2

Kimi K2.7 Codewon 0 · lost 2

Nemotron 3.5 Bolt 74B-A9Bwon 0 · lost 2

Solar Open2 250Bwon 0 · lost 2

GPT-5.6 Lunawon 0 · lost 2

Qwen3.6 Pluswon 0 · lost 2

Solar Mini 4won 0 · lost 2

GLM-4.7won 0 · lost 2

GPT-5.5won 0 · lost 2

Mimo V2.5 Prowon 0 · lost 2

Muse Spark Openwon 0 · lost 2

Hy3won 0 · lost 2

Inkling Smallwon 0 · lost 2

GLM-5.3won 0 · lost 2

Qwen3.7 Maxwon 0 · lost 2

Grok Build 0.1won 0 · lost 2

Nex-N2-Pro (Based on Qwen3.5-397B-A17B)won 0 · lost 2

Step 5won 0 · lost 2

Grok 4.5won 0 · lost 2

K2 Horizon 7Bwon 0 · lost 2

GPT-6 Lunawon 0 · lost 2

Ling 3.0 Flash Finwon 0 · lost 2

GLM-5.1won 0 · lost 2

G9v3 39A5Bwon 0 · lost 2

Claude Sonnet 4.6won 0 · lost 2

Motif 3won 0 · lost 2

Gemini 3.7 Flashwon 0 · lost 2

Ling 3.0 Flash VLwon 0 · lost 2

Kimi K2.5won 0 · lost 2

Apodex 1.1won 0 · lost 2

Solar Pro4won 0 · lost 2

Gemini 3.6 Flashwon 0 · lost 2

DeepSeek V3.2won 0 · lost 2

Qwen3.7 Pluswon 0 · lost 2

GPT-5.4won 0 · lost 2

Quasar 438B (Max, Based on GLM-5.2)won 0 · lost 2

Kimi K3won 0 · lost 2

Kimi K2.6won 0 · lost 2

Agnes 2.5 Prowon 0 · lost 2

K2 Horizon MoVA 36B A4Bwon 0 · lost 2

Gemini 3.8 Flashwon 0 · lost 2

JT-4.1 Flash 236B A21Bwon 0 · lost 2

Qwen3.8 Maxwon 0 · lost 2

DeepSeek V4 Flash Visionwon 0 · lost 2

GPT-5.6 Terrawon 0 · lost 2

GLM-5.2won 0 · lost 2

Claude Opus 4.7won 0 · lost 2

GLM-5.3 Flashwon 0 · lost 2

GPT-5.6 Solwon 0 · lost 2

Claude Sonnet 4.5won 0 · lost 2

Muse Spark 1.1won 0 · lost 2

K2 Horizon 375B A23Bwon 0 · lost 2

DeepSeek V4 Flashwon 0 · lost 2

DeepSeek V4 Prowon 0 · lost 2

GLM-4.6won 0 · lost 2

Claude Sonnet 5won 0 · lost 2

Muse Spark 1.3won 0 · lost 2

MiniMax M3.1 Flashwon 0 · lost 2

Grok 4.6won 0 · lost 2

Ling 3.1 Flashwon 0 · lost 2

Qwen3.8 2.4T A95Bwon 0 · lost 2

Claude Opus 4.8won 0 · lost 2

Mimo V2.6 Flashwon 0 · lost 2

Mimo V2.6 Prowon 0 · lost 2

GPT-6 Solwon 0 · lost 2

DeepSeek V4.1 Flashwon 0 · lost 2

Grok 4.7won 0 · lost 2

Qwen3.8 Flash Nextwon 0 · lost 2

Claude Haiku 5.5won 0 · lost 2

Muse Wonderwon 0 · lost 2

Gemini 4 Argonwon 0 · lost 2

Muse Wonder Fullwon 0 · lost 2

GPT-6.1 Solwon 0 · lost 2

GPT-6 Astrawon 0 · lost 2

Claude Fable 5won 0 · lost 2

Claude Opus 5won 0 · lost 2

Claude Sonnet 5.5won 0 · lost 2

Claude Fable 5.1won 0 · lost 2

Claude Opus 5.5won 0 · lost 2

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-10-19

GDPval-AA 442

AA-Briefcase ↗1 measureread 2026-10-19

AA-Briefcase 232

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