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The LLM benchmark aggregator.

Nemotron 3.5 Super VL

NVIDIA · open weights

Strongest in Web research (#26 of 48, on 1 of its 2 boards), weakest in Agents (#188 of 289). Above par in 2 of 14 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and GPT-6 Astra and ahead of DeepSeek V3 and Gemini 3.5 Flash Lite.

§ 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.

Coding46.2#110/176
Agentic coding45.8#108/169
Reasoning46.5#123/189
Reasoning44.4#90/143
Professional45.4#142/187
Document design32.6#41/47
Core abilities43.5#185/225
Data analysis40.2#38/47
General intelligence43.9#154/214
Agents46.1#188/289
Web research50.4#26/48
Long-horizon work36.2#40/47
Knowledge work54.9#59/198
Computer use34.6#73/80

§ 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 Nemotron 3.5 Super VL, left for the other.

GPT-4o Miniwon 9 · lost 0
GPT-4.1 Nanowon 9 · lost 0
Claude Haiku 4.5won 13 · lost 1
Gemma 4 31Bwon 13 · lost 1
GPT-5.4 Nanowon 6 · lost 3
Mistral Large 3won 6 · lost 3
Inklingwon 8 · lost 6
GPT-5.4 Miniwon 5 · lost 4
Gemini 3.5 Flash Litewon 5 · lost 4
DeepSeek V3won 5 · lost 4
GPT OSS 120Bwon 4 · lost 5
GPT-5 Miniwon 4 · lost 5
MiniMax M3won 6 · lost 8
Muse Spark Openwon 5 · lost 9
Gemini 3.1 Prowon 5 · lost 9
GPT-4.1 Miniwon 3 · lost 6
Inkling Smallwon 3 · lost 6
DeepSeek R1won 3 · lost 6
Claude Sonnet 4.5won 3 · lost 7
Kimi K2.5won 3 · lost 7
DeepSeek V3.2won 2 · lost 7
Gemini 2.5 Prowon 2 · lost 7
Gemini 3.5 Flashwon 2 · lost 7
Mistral Large 4won 3 · lost 11
Beam 1.0won 2 · lost 12
GLM-5.3 Flashwon 2 · lost 12
GPT-5won 1 · lost 8
Claude Sonnet 4won 1 · lost 9
Claude Haiku 5.5won 1 · lost 13
GPT-5.6 Lunawon 1 · lost 13
GPT-6 Lunawon 1 · lost 13
Claude Sonnet 4.6won 1 · lost 13
Step 5won 1 · lost 13
Qwen3.8 27Bwon 1 · lost 13
GLM-5.3won 1 · lost 13
Muse Spark 1.2won 1 · lost 13
DeepSeek V4 Flash Visionwon 1 · lost 13
GPT-5.6 Terrawon 1 · lost 13
Gemini 3.8 Flashwon 1 · lost 13
Claude Sonnet 5.5won 1 · lost 13
Qwen3.8 Maxwon 1 · lost 13
GPT-6 Solwon 1 · lost 13
GPT-5.6 Solwon 1 · lost 13
GPT-5.5won 1 · lost 13
Muse Spark 1.3won 1 · lost 13
GLM-5.2won 0 · lost 9
DeepSeek V4 Flashwon 0 · lost 9
DeepSeek V4 Prowon 0 · lost 9
Claude Opus 4.7won 0 · lost 9
GPT-5.4won 0 · lost 9
O3won 0 · lost 9
Qwen3.8 Flashwon 0 · lost 13
Claude Sonnet 5won 0 · lost 14
Claude Opus 5won 0 · lost 14
Grok 4.6won 0 · lost 14
Gemini 3.7 Flashwon 0 · lost 14
Mimo V2.6 Prowon 0 · lost 14
Claude Opus 4.8won 0 · lost 14
Kimi K3won 0 · lost 14
Grok 4.5won 0 · lost 14
DeepSeek V4.1 Flashwon 0 · lost 14
Grok 4.7won 0 · lost 14
Claude Opus 5.5won 0 · lost 14
Muse Wonderwon 0 · lost 14
Claude Fable 5.1won 0 · lost 14
Gemini 4 Argonwon 0 · lost 14
GPT-6.1 Solwon 0 · lost 14
GPT-6 Astrawon 0 · lost 14
Claude Fable 5won 0 · lost 14

§ 3 · Sources

Where the numbers come from

4 publications, 11 figures. Every one links to the page it was read from.

Artificial Analysis ↗1 measureread 2026-10-19
Artificial Analysis Intelligence Index 26
GDPval-AA ↗1 measureread 2026-10-19
GDPval-AA 1162
AA-Briefcase ↗1 measureread 2026-10-19
AA-Briefcase 999
LiveBench ↗8 measuresread 2026-10-19
LiveBench 51.5LiveBench · Agentic 15.8LiveBench · Reasoning 78.8LiveBench · Coding 65.5LiveBench · Browser Use 4LiveBench · Data Analysis 64.6LiveBench · Research 70.9LiveBench · Design 60.7

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