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NVIDIA Nemotron 3 Nano 4B

NVIDIA · 4B

Strongest in Knowledge work (#152 of 177, on 1 of its 2 boards), weakest in Agents (#233 of 267). Above par in 0 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and GPT-5.6 Luna and ahead of G9v3 3B and Nemotron 3 Ultra.

§ 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.

Agents41#233/267
Knowledge work36.5#152/177
Tool use46.2—/81✱
Reasoning47.4—/178✱
Mathematics47.4—/140✱
Science41.9—/122✱
Expert reasoning41.6—/0✱
Coding45.4—/164✱
Agentic coding44.6—/157✱
Code generation37.3—/77✱

§ 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 NVIDIA Nemotron 3 Nano 4B, left for the other.

GPT-4owon 6 · lost 0
Llama 4 Scout Instructwon 6 · lost 0
Qwen3.5 0.8Bwon 6 · lost 2
DeepSeek V3won 6 · lost 2
GPT-4.1 Nanowon 6 · lost 2
GPT-4o Miniwon 6 · lost 2
Mistral Medium 3.5won 5 · lost 2
Command Awon 5 · lost 2
Grok Build 0.1won 5 · lost 2
Mercury 2.5won 4 · lost 2
Grok 4.3won 5 · lost 3
Mistral Large 3won 4 · lost 3
Qwen3.6 27Bwon 4 · lost 3
Nemotron 3 Ultrawon 5 · lost 4
G9v3 3Bwon 5 · lost 4
Claude 3.5 Sonnetwon 3 · lost 3
K2 Horizon 0.9Bwon 4 · lost 4
Gemini 3.5 Flash Litewon 4 · lost 4
Inklingwon 5 · lost 5
MiniMax M3won 5 · lost 5
Claude 3.5 Haikuwon 3 · lost 4
O3 Miniwon 3 · lost 5
GPT-5.4 Nanowon 3 · lost 5
GPT-5.4 Miniwon 3 · lost 5
Qwen3.7 Maxwon 3 · lost 5
Claude Opus 4won 2 · lost 4
Claude 3.7 Sonnetwon 2 · lost 4
Ling 3.0 Flashwon 2 · lost 4
Granite 4.2 30Bwon 3 · lost 6
DeepSeek R1won 2 · lost 5
Gemma 4 E4Bwon 2 · lost 5
Gemini 3.1 Flash Litewon 2 · lost 5
OpenBMB 1Bwon 2 · lost 5
GPT OSS 120Bwon 2 · lost 5
Inkling Smallwon 2 · lost 5
MiniMax M2.7won 2 · lost 5
Mimo V2.5won 2 · lost 5
Kimi K2.7 Codewon 2 · lost 5
Mimo V2.5 Prowon 2 · lost 5
Kimi K2.5won 2 · lost 5
GPT-4.1won 2 · lost 5
Grok 4.1 Fastwon 2 · lost 5
GPT-4.1 Miniwon 2 · lost 6
GPT-5 Miniwon 2 · lost 6
Qwen3.6 Pluswon 2 · lost 6
Claude Haiku 4.5won 2 · lost 6
Gemini 2.5 Flashwon 2 · lost 6
GLM-4.6won 2 · lost 6
GLM-5.3 Flashwon 2 · lost 6
Granite 4.2 3Bwon 2 · lost 8
Kimi K2won 1 · lost 6
Qwen3.8 Flash Nextwon 1 · lost 6
Nemotron 3 Superwon 1 · lost 7
G9v3 39A5Bwon 1 · lost 7
Gemini 3.5 Flashwon 1 · lost 7
Grok 4.5won 1 · lost 7
Gemini 3.6 Flashwon 1 · lost 7
Kimi K2.6won 1 · lost 7
Muse Spark 1.1won 1 · lost 7
Claude Opus 4.5won 1 · lost 7
Gemma 4 31Bwon 1 · lost 8
Qwen3.5 9Bwon 1 · lost 8
Qwen3.6 35B A3Bwon 1 · lost 8
Qwen3.5 4Bwon 1 · lost 8
DeepSeek V4 Flashwon 1 · lost 8
Qwen3.8 27Bwon 1 · lost 9
Claude Opus 4.6won 0 · lost 6
Grok 3 Miniwon 0 · lost 6
Mimo V2.6 Prowon 0 · lost 6
Muse Sparkwon 0 · lost 7
GPT-5.1won 0 · lost 7
GPT-5won 0 · lost 7
GLM-4.7won 0 · lost 7
GLM-5.1won 0 · lost 7
GPT-6 Lunawon 0 · lost 7
Grok 4won 0 · lost 7
Muse Spark 1.2won 0 · lost 7
GPT-6 Solwon 0 · lost 7
Gemini 3 Prowon 0 · lost 7
GPT-6 Astrawon 0 · lost 7
Muse Spark 1.3won 0 · lost 7
Grok 4.7won 0 · lost 7
Claude Opus 5.5won 0 · lost 7
Qwen3.5 2Bwon 0 · lost 8
Gemini 2.5 Prowon 0 · lost 8
Gemma 4 12Bwon 0 · lost 8
Gemini 3.1 Prowon 0 · lost 8
Claude Sonnet 4won 0 · lost 8
K2 Horizon 32Bwon 0 · lost 8
Muse Glimmer-30Bwon 0 · lost 8
O3won 0 · lost 8
DeepSeek V3.2won 0 · lost 8
GPT-5.4won 0 · lost 8
O4 Miniwon 0 · lost 8
GPT-5.2won 0 · lost 8
Gemini 3.7 Flashwon 0 · lost 8
GPT-5.5won 0 · lost 8
Claude Sonnet 4.5won 0 · lost 8
Claude Sonnet 4.6won 0 · lost 8
Claude Opus 4.7won 0 · lost 8
Gemini 3.8 Flashwon 0 · lost 8
Claude Opus 4.8won 0 · lost 8
Grok 4.6won 0 · lost 8
Qwen3.8 Maxwon 0 · lost 8
Claude Fable 5.1won 0 · lost 8
Claude Fable 5won 0 · lost 8
Granite 4.2 8Bwon 0 · lost 9
K2 Horizon 7Bwon 0 · lost 9
K2 Horizon 375B A23Bwon 0 · lost 9
DeepSeek V4 Prowon 0 · lost 9
DeepSeek V4.1 Flashwon 0 · lost 9
GPT-5.6 Solwon 0 · lost 9
Kimi K3won 0 · lost 9
GLM-5.3won 0 · lost 9
Claude Opus 5won 0 · lost 9
K2 Horizon 3.7Bwon 0 · lost 10
GLM-5.2won 0 · lost 10
GPT-5.6 Terrawon 0 · lost 10
GPT-5.6 Lunawon 0 · lost 10
Claude Sonnet 5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

2 publications, 7 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-09-27
GDPval-AA -74
Terminal-Bench 2.1 3.7%SciCode 16.4%GPQA Diamond 51.3%HMMT Feb 2026 34.7%HLE 4.9%BFCL v4 36.8%

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PublicAI Index badge for NVIDIA Nemotron 3 Nano 4B[![PublicAI Index](https://publicai.io/model-index/badge?model=nvidia-nemotron-3-nano-4b)](https://publicai.io/model-index/m/nvidia-nemotron-3-nano-4b)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-09-27 · the full index · JSON API